Use case cards: a use case reporting framework inspired by the European AI Act
Despite recent efforts by the Artificial Intelligence (AI) community to move towards standardised procedures for documenting models, methods, systems or data...
Resources by Tag
- Artificial Intelligence 63
- General 55
- Ethics and Impact Assessment 47
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Artificial Intelligence
The AI Ethics Revolution - A Brief Timeline
The first 100 Brilliant Women in AI Ethics list was published in 2018 and since then, we’ve published a list every year to recognize the diverse voices toili...
On the Dangers of Stochastic Parrots: Can Language Models Be Too Big?
The past 3 years of work in NLP have been characterized by the development and deployment of ever larger language models, especially for English. BERT, its v...
Model cards for model reporting
Trained machine learning models are increasingly used to perform high-impact tasks in areas such as law enforcement, medicine, education, and employment. In ...
IBM AI Fairness 360
This extensible open source toolkit can help you examine, report, and mitigate discrimination and bias in machine learning models throughout the AI applicati...
IBM AI Explainability 360
This extensible open source toolkit can help you comprehend how machine learning models predict labels by various means throughout the AI application lifecyc...
IBM AI AI Privacy 360
The AI Privacy 360 Toolbox includes several tools to support the assessment of privacy risks of AI-based solutions, and to help them adhere to any relevant p...
IBM AI AI FactSheets 360
This site provides an overview of the FactSheet project, a research effort to foster trust in AI by increasing transparency and enabling governance. (…)
Documenting high-risk AI: a European regulatory perspective
This article discusses transparency obligations introduced in the Artificial Intelligence Act, the recently proposed European regulatory framework for artifi...
Closing the AI accountability gap: Defining an end-to-end framework for internal algorithmic auditing
Rising concern for the societal implications of artificial intelligence systems has inspired a wave of academic and journalistic literature in which deployed...
CapAI-A procedure for conducting conformity assessment of AI systems in line with the EU artificial intelligence act.
We have developed capAI, a conformity assessment procedure for AI systems, to provide an independent, comparable, quantifiable, and accountable assessment of...
AI Watch: Artificial Intelligence Standardisation Landscape Update. No. JRC131155
The European Commission presented in April 2021 the AI Act, its proposed legislative framework for Artificial Intelligence, which sets the necessary regulato...
The Foundation Model Transparency Index
We introduce the Foundation Model Transparency Index to assess the transparency of foundation model developers. We design the Index around 100 transparency i...
TensorFlow Responsible AI tools
Learn how to integrate Responsible AI practices into your ML workflow using TensorFlow TensorFlow is committed to helping make progress in the responsible de...
Navigating the AI Landscape in Switzerland: Policy Implications for Critical Infrastructure
Switzerland’s energy and health sectors will see the rapid adoption of AI systems in the coming years. Anticipated benefits include better, personalised heal...
Microsoft Responsible AI Toolbox
Responsible AI Toolbox Capabilities The Responsible AI Toolbox enables AI practitioners to design flexible and custom model assessment and decision-making wo...
US Dept Defense Responsible Artificial Intelligence Toolkit
The Responsible Artificial Intelligence (RAI) Toolkit provides a centralized process that identifies, tracks, and improves alignment of AI projects to RAI be...
UNESCO Recommendation on the Ethics of Artificial Intelligence
UNESCO’s first-ever global standard on AI ethics - the ‘Recommendation on the Ethics of Artificial Intelligence’ - was adopted by all 193 Member States in No...
UNESCO Readiness assessment methodology: a tool of the Recommendation on the Ethics of Artificial Intelligence
The Recommendation, in paragraph 49, states: ‘UNESCO recognizes that Member States will be at different stages of readiness to implement this Recommendation,...
UNESCO Ethical Impact Assessment tool
The Recommendation on the Ethics of AI provides a framework to ensure that AI developments align with the promotion and protection of human rights and human ...
Trust Valley
The Trust Valley is a public-private partnership aimed at promoting the excellence of the Lake Geneva region in the field of digital trust and cybersecurity....
The IEEE Global Initiative on Ethics of Autonomous and Intelligent Systems
The IEEE Global Initiative’s mission is, ‘To ensure every stakeholder involved in the design and development of autonomous and intelligent systems is educate...
The IEEE CertifAIEd Framework for AI Ethics Applied to the City of Vienna
In a proof-of-concept collaboration between the IEEE Standards Association (IEEE SA) and the City of Vienna, the newly developed IEEE CertifAIEd framework wa...
The Future of Cybersecurity in an AI-Driven World
Cybersecurity has evolved significantly as technology has advanced. Increased interconnectivity and digital transformation have both significantly altered ho...
The Future of Cybersecurity in an AI-Driven World
Cybersecurity has evolved significantly as technology has advanced. Increased interconnectivity and digital transformation have both significantly altered ho...
Swiss National Cyberstrategy (NCS): A Quantitative Assessment of the Cybersecurity Research Landscape
This study provides the first systematic and quantitative evaluation of the Swiss cybersecurity research landscape. It aims to guide policymakers, universiti...
Swiss Academy of Engineering Sciences SATW
The Swiss Academy of Engineering Sciences SATW is the most important network of experts for engineering sciences in Switzerland and is in contact with the hi...
SATW Technology Outlook
The four-quadrant diagram is the actual core of Technology Outlook: The chart shows four fields with different categories. The technologies are positioned ac...
RRI Tools
The project has then gathered a wealth of online resources - the RRI Toolkit - to help stakeholders across Europe put Responsible Research and Innovation int...
Partnership on AI
Partnership on AI (PAI) is a non-profit partnership of academic, civil society, industry, and media organizations creating solutions so that AI advances posi...
OECD Catalogue of tools and Metrics for Trustworthy AI
There are tools and metrics out there that help AI actors to build and deploy AI systems that are trustworthy. However, these tools and metrics are often har...
OCEANIS Global AI Standards Repository
The Global AI Standards Repository is the world’s first centralized, transparent notification system that captures AI and Autonomous and Intelligent Systems ...
National strategy for the protection of Switzerland against cyber risks (NCS)
The new national cyberstrategy (NCS) was approved by the Federal Council during its meeting on 5 April 2023 and by the cantons during today’s plenary session...
NIST AI Risk Management Framework
The AI Risk Management Framework (AI RMF) is intended for voluntary use and to improve the ability to incorporate trustworthiness considerations into the des...
NIST AI Risk Management Framework Playbook
The Playbook provides suggested actions for achieving the outcomes laid out in the AI Risk Management Framework (AI RMF) Core (Tables 1 - 4 in AI RMF 1.0). S...
IEEE Computer Society Trends
In-depth analysis of the latest tech trends, with highlights of the top research from the world’s standard-bearer for computing professionals. (…)
IEEE CertifAIEd
IEEE CertifAIEd is a certification program for assessing ethics of Autonomous Intelligent Systems (AIS) to help protect, differentiate, and grow product adop...
IEEE 7010-2020: IEEE Recommended Practice for Assessing the Impact of Autonomous and Intelligent Systems on Human Well-Being
The impact of artificial intelligence or autonomous and intelligent systems (A/IS) on humans is measured by this standard. The positive outcome of A/IS on hu...
IEEE 7007-2021: IEEE Ontological Standard for Ethically Driven Robotics and Automation Systems
A set of ontologies with different abstraction levels that contain concepts, definitions, axioms, and use cases that assist in the development of ethically d...
IEEE 7005-2021: IEEE Standard for Transparent Employer Data Governance
Specific methodologies to help employers in accessing, collecting, storing, utilizing, sharing, and destroying employee data are described in this standard. ...
IEEE 7002-2022: IEEE Standard for Data Privacy Process
The requirements for a systems/software engineering process for privacy-oriented considerations regarding products, services, and systems utilizing employee,...
IEEE 7001-2021: IEEE Standard for Transparency of Autonomous Systems
Measurable, testable levels of transparency, so that autonomous systems can be objectively assessed, and levels of compliance determined, are described in th...
IEEE 7000-2021: IEEE Standard Model Process for Addressing Ethical Concerns during System Design
A set of processes by which organizations can include consideration of ethical values throughout the stages of concept exploration and development is establi...
How AI is Disrupting And Transforming The Cybersecurity Landscape
One of the reasons for the rapid acceleration of cybercrime is the lower barrier to entry for malicious actors. Cybercriminals have evolved their business mo...
Eight AI-related US policy issues for boards and management to consider
As the use of AI evolves, boards and the C-suite should consider these key AI-related issues attracting US policymaker attention. (…)
EASA Artificial Intelligence Roadmap 2.0
The EASA Artificial Intelligence Roadmap 2.0 outlines the Agency’s vision for the safety and ethical considerations of AI in aviation. (…)
Deloitte Tech Trends 2023
Deloitte’s 14th annual Tech Trends report explores the impact of emerging technologies on groundbreaking innovations and foundational business areas. Stories...
Cybersecurity and AI: The challenges and opportunities
As Artificial Intelligence (AI) advances rapidly, so does its potential to be used in cybercrime. (…)
CyberPeace Institute Approach to Responsible Use of Artificial Intelligence
CyberPeace Insititute principles on the usage of AI: data collection and processing, knowledge production, talent management, stakeholder engagement, and cri...
Cyber-Defence Campus
The Cyber-Defence Campus (CYD Campus) was founded in 2019 in order to strengthen Switzerland’s cyber defence and to anticipate cyber developments more quickl...
Cyber AI: Real defense
As organizations struggle with security breaches, cyber AI can be a force multiplier, enabling security teams not only to respond faster than cyberattackers ...
CDEI portfolio of AI assurance techniques
This page provides details about the CDEI portfolio of AI assurance techniques and how to use it. (…)
Atlas of Automation Switzerland
The Atlas of Automation aims to shed light into this black box. It offers a first directory of examples of algorithmic systems that are used in Switzerland, ...
ALTAI - The Assessment List for Trustworthy Artificial Intelligence
This website contains the Assessment List for Trustworthy AI (ALTAI). ALTAI was developed by the High-Level Expert Group on Artificial Intelligence set up by...
AI regulation: a pro-innovation approach
This white paper details our plans for implementing a pro-innovation approach to AI regulation. We’re seeking views through a supporting consultation. (…)
AI for Cybersecurity and Cybercrime - How Artificial Intelligence Is Battling Itself
Experts believe that Artificial Intelligence (AI) and Machine Learning (ML) have both negative and positive effects on cybersecurity. AI algorithms use train...
AI for Cybersecurity and Cybercrime - How Artificial Intelligence Is Battling Itself
Experts believe that Artificial Intelligence (AI) and Machine Learning (ML) have both negative and positive effects on cybersecurity. AI algorithms use train...
AI Standards Hub
The new home of the AI standards community. Dedicated to knowledge sharing, capacity building, and world-leading research, the Hub aims to build a vibrant an...
AI Incident Database
The AI Incident Database is dedicated to indexing the collective history of harms or near harms realized in the real world by the deployment of artificial in...
AI Ethics Reading List
This is a compilation of books, papers, and resources that AI Ethicists recommend to help you manage your AI initiatives responsibly or to in general get to ...
AI Asessment catalog
The AI assessment catalog of Fraunhofer IAIS offers a structured guideline that can be used to concretize abstract quality standards into application-specifi...
A survey of artificial intelligence risk assessment methodologies
This report was commissioned to (1) inform policy makers and regulatory stakeholders about noteworthy approaches to AI risk assessment, including leading pra...
General
Use case cards: a use case reporting framework inspired by the European AI Act
Despite recent efforts by the Artificial Intelligence (AI) community to move towards standardised procedures for documenting models, methods, systems or data...
The AI Ethics Revolution - A Brief Timeline
The first 100 Brilliant Women in AI Ethics list was published in 2018 and since then, we’ve published a list every year to recognize the diverse voices toili...
On the Dangers of Stochastic Parrots: Can Language Models Be Too Big?
The past 3 years of work in NLP have been characterized by the development and deployment of ever larger language models, especially for English. BERT, its v...
Model cards for model reporting
Trained machine learning models are increasingly used to perform high-impact tasks in areas such as law enforcement, medicine, education, and employment. In ...
IBM AI Fairness 360
This extensible open source toolkit can help you examine, report, and mitigate discrimination and bias in machine learning models throughout the AI applicati...
IBM AI Explainability 360
This extensible open source toolkit can help you comprehend how machine learning models predict labels by various means throughout the AI application lifecyc...
IBM AI AI Privacy 360
The AI Privacy 360 Toolbox includes several tools to support the assessment of privacy risks of AI-based solutions, and to help them adhere to any relevant p...
IBM AI AI FactSheets 360
This site provides an overview of the FactSheet project, a research effort to foster trust in AI by increasing transparency and enabling governance. (…)
Documenting high-risk AI: a European regulatory perspective
This article discusses transparency obligations introduced in the Artificial Intelligence Act, the recently proposed European regulatory framework for artifi...
Closing the AI accountability gap: Defining an end-to-end framework for internal algorithmic auditing
Rising concern for the societal implications of artificial intelligence systems has inspired a wave of academic and journalistic literature in which deployed...
CapAI-A procedure for conducting conformity assessment of AI systems in line with the EU artificial intelligence act.
We have developed capAI, a conformity assessment procedure for AI systems, to provide an independent, comparable, quantifiable, and accountable assessment of...
AI Watch: Artificial Intelligence Standardisation Landscape Update. No. JRC131155
The European Commission presented in April 2021 the AI Act, its proposed legislative framework for Artificial Intelligence, which sets the necessary regulato...
The Foundation Model Transparency Index
We introduce the Foundation Model Transparency Index to assess the transparency of foundation model developers. We design the Index around 100 transparency i...
TensorFlow Responsible AI tools
Learn how to integrate Responsible AI practices into your ML workflow using TensorFlow TensorFlow is committed to helping make progress in the responsible de...
Microsoft Responsible AI Toolbox
Responsible AI Toolbox Capabilities The Responsible AI Toolbox enables AI practitioners to design flexible and custom model assessment and decision-making wo...
US Dept Defense Responsible Artificial Intelligence Toolkit
The Responsible Artificial Intelligence (RAI) Toolkit provides a centralized process that identifies, tracks, and improves alignment of AI projects to RAI be...
UNESCO Recommendation on the Ethics of Artificial Intelligence
UNESCO’s first-ever global standard on AI ethics - the ‘Recommendation on the Ethics of Artificial Intelligence’ - was adopted by all 193 Member States in No...
UNESCO Readiness assessment methodology: a tool of the Recommendation on the Ethics of Artificial Intelligence
The Recommendation, in paragraph 49, states: ‘UNESCO recognizes that Member States will be at different stages of readiness to implement this Recommendation,...
UNESCO Ethical Impact Assessment tool
The Recommendation on the Ethics of AI provides a framework to ensure that AI developments align with the promotion and protection of human rights and human ...
The IEEE Global Initiative on Ethics of Autonomous and Intelligent Systems
The IEEE Global Initiative’s mission is, ‘To ensure every stakeholder involved in the design and development of autonomous and intelligent systems is educate...
RRI Tools
The project has then gathered a wealth of online resources - the RRI Toolkit - to help stakeholders across Europe put Responsible Research and Innovation int...
Partnership on AI
Partnership on AI (PAI) is a non-profit partnership of academic, civil society, industry, and media organizations creating solutions so that AI advances posi...
OECD Catalogue of tools and Metrics for Trustworthy AI
There are tools and metrics out there that help AI actors to build and deploy AI systems that are trustworthy. However, these tools and metrics are often har...
OCEANIS Global AI Standards Repository
The Global AI Standards Repository is the world’s first centralized, transparent notification system that captures AI and Autonomous and Intelligent Systems ...
NIST AI Risk Management Framework
The AI Risk Management Framework (AI RMF) is intended for voluntary use and to improve the ability to incorporate trustworthiness considerations into the des...
NIST AI Risk Management Framework Playbook
The Playbook provides suggested actions for achieving the outcomes laid out in the AI Risk Management Framework (AI RMF) Core (Tables 1 - 4 in AI RMF 1.0). S...
IEEE Computer Society Trends
In-depth analysis of the latest tech trends, with highlights of the top research from the world’s standard-bearer for computing professionals. (…)
IEEE Computer Society Trends
In-depth analysis of the latest tech trends, with highlights of the top research from the world’s standard-bearer for computing professionals. (…)
IEEE CertifAIEd
IEEE CertifAIEd is a certification program for assessing ethics of Autonomous Intelligent Systems (AIS) to help protect, differentiate, and grow product adop...
IEEE CertifAIEd
IEEE CertifAIEd is a certification program for assessing ethics of Autonomous Intelligent Systems (AIS) to help protect, differentiate, and grow product adop...
IEEE 7010-2020: IEEE Recommended Practice for Assessing the Impact of Autonomous and Intelligent Systems on Human Well-Being
The impact of artificial intelligence or autonomous and intelligent systems (A/IS) on humans is measured by this standard. The positive outcome of A/IS on hu...
IEEE 7007-2021: IEEE Ontological Standard for Ethically Driven Robotics and Automation Systems
A set of ontologies with different abstraction levels that contain concepts, definitions, axioms, and use cases that assist in the development of ethically d...
IEEE 7005-2021: IEEE Standard for Transparent Employer Data Governance
Specific methodologies to help employers in accessing, collecting, storing, utilizing, sharing, and destroying employee data are described in this standard. ...
IEEE 7002-2022: IEEE Standard for Data Privacy Process
The requirements for a systems/software engineering process for privacy-oriented considerations regarding products, services, and systems utilizing employee,...
IEEE 7002-2022: IEEE Standard for Data Privacy Process
The requirements for a systems/software engineering process for privacy-oriented considerations regarding products, services, and systems utilizing employee,...
IEEE 7001-2021: IEEE Standard for Transparency of Autonomous Systems
Measurable, testable levels of transparency, so that autonomous systems can be objectively assessed, and levels of compliance determined, are described in th...
IEEE 7001-2021: IEEE Standard for Transparency of Autonomous Systems
Measurable, testable levels of transparency, so that autonomous systems can be objectively assessed, and levels of compliance determined, are described in th...
IEEE 7000-2021: IEEE Standard Model Process for Addressing Ethical Concerns during System Design
A set of processes by which organizations can include consideration of ethical values throughout the stages of concept exploration and development is establi...
How AI is Disrupting And Transforming The Cybersecurity Landscape
One of the reasons for the rapid acceleration of cybercrime is the lower barrier to entry for malicious actors. Cybercriminals have evolved their business mo...
EASA Artificial Intelligence Roadmap 2.0
The EASA Artificial Intelligence Roadmap 2.0 outlines the Agency’s vision for the safety and ethical considerations of AI in aviation. (…)
Deloitte Tech Trends 2023
Deloitte’s 14th annual Tech Trends report explores the impact of emerging technologies on groundbreaking innovations and foundational business areas. Stories...
Cybersecurity and AI: The challenges and opportunities
As Artificial Intelligence (AI) advances rapidly, so does its potential to be used in cybercrime. (…)
Cyber AI: Real defense
As organizations struggle with security breaches, cyber AI can be a force multiplier, enabling security teams not only to respond faster than cyberattackers ...
CDEI portfolio of AI assurance techniques
This page provides details about the CDEI portfolio of AI assurance techniques and how to use it. (…)
CDEI portfolio of AI assurance techniques
This page provides details about the CDEI portfolio of AI assurance techniques and how to use it. (…)
Atlas of Automation Switzerland
The Atlas of Automation aims to shed light into this black box. It offers a first directory of examples of algorithmic systems that are used in Switzerland, ...
ALTAI - The Assessment List for Trustworthy Artificial Intelligence
This website contains the Assessment List for Trustworthy AI (ALTAI). ALTAI was developed by the High-Level Expert Group on Artificial Intelligence set up by...
ALTAI - The Assessment List for Trustworthy Artificial Intelligence
This website contains the Assessment List for Trustworthy AI (ALTAI). ALTAI was developed by the High-Level Expert Group on Artificial Intelligence set up by...
AI regulation: a pro-innovation approach
This white paper details our plans for implementing a pro-innovation approach to AI regulation. We’re seeking views through a supporting consultation. (…)
AI Standards Hub
The new home of the AI standards community. Dedicated to knowledge sharing, capacity building, and world-leading research, the Hub aims to build a vibrant an...
AI Incident Database
The AI Incident Database is dedicated to indexing the collective history of harms or near harms realized in the real world by the deployment of artificial in...
AI Ethics Reading List
This is a compilation of books, papers, and resources that AI Ethicists recommend to help you manage your AI initiatives responsibly or to in general get to ...
AI Asessment catalog
The AI assessment catalog of Fraunhofer IAIS offers a structured guideline that can be used to concretize abstract quality standards into application-specifi...
A survey of artificial intelligence risk assessment methodologies
This report was commissioned to (1) inform policy makers and regulatory stakeholders about noteworthy approaches to AI risk assessment, including leading pra...
Ethics and Impact Assessment
Use case cards: a use case reporting framework inspired by the European AI Act
Despite recent efforts by the Artificial Intelligence (AI) community to move towards standardised procedures for documenting models, methods, systems or data...
The AI Ethics Revolution - A Brief Timeline
The first 100 Brilliant Women in AI Ethics list was published in 2018 and since then, we’ve published a list every year to recognize the diverse voices toili...
On the Dangers of Stochastic Parrots: Can Language Models Be Too Big?
The past 3 years of work in NLP have been characterized by the development and deployment of ever larger language models, especially for English. BERT, its v...
Model cards for model reporting
Trained machine learning models are increasingly used to perform high-impact tasks in areas such as law enforcement, medicine, education, and employment. In ...
IBM AI Fairness 360
This extensible open source toolkit can help you examine, report, and mitigate discrimination and bias in machine learning models throughout the AI applicati...
IBM AI Explainability 360
This extensible open source toolkit can help you comprehend how machine learning models predict labels by various means throughout the AI application lifecyc...
IBM AI AI Privacy 360
The AI Privacy 360 Toolbox includes several tools to support the assessment of privacy risks of AI-based solutions, and to help them adhere to any relevant p...
IBM AI AI FactSheets 360
This site provides an overview of the FactSheet project, a research effort to foster trust in AI by increasing transparency and enabling governance. (…)
Documenting high-risk AI: a European regulatory perspective
This article discusses transparency obligations introduced in the Artificial Intelligence Act, the recently proposed European regulatory framework for artifi...
Closing the AI accountability gap: Defining an end-to-end framework for internal algorithmic auditing
Rising concern for the societal implications of artificial intelligence systems has inspired a wave of academic and journalistic literature in which deployed...
CapAI-A procedure for conducting conformity assessment of AI systems in line with the EU artificial intelligence act.
We have developed capAI, a conformity assessment procedure for AI systems, to provide an independent, comparable, quantifiable, and accountable assessment of...
AI Watch: Artificial Intelligence Standardisation Landscape Update. No. JRC131155
The European Commission presented in April 2021 the AI Act, its proposed legislative framework for Artificial Intelligence, which sets the necessary regulato...
The Foundation Model Transparency Index
We introduce the Foundation Model Transparency Index to assess the transparency of foundation model developers. We design the Index around 100 transparency i...
TensorFlow Responsible AI tools
Learn how to integrate Responsible AI practices into your ML workflow using TensorFlow TensorFlow is committed to helping make progress in the responsible de...
Navigating the AI Landscape in Switzerland: Policy Implications for Critical Infrastructure
Switzerland’s energy and health sectors will see the rapid adoption of AI systems in the coming years. Anticipated benefits include better, personalised heal...
Microsoft Responsible AI Toolbox
Responsible AI Toolbox Capabilities The Responsible AI Toolbox enables AI practitioners to design flexible and custom model assessment and decision-making wo...
US Dept Defense Responsible Artificial Intelligence Toolkit
The Responsible Artificial Intelligence (RAI) Toolkit provides a centralized process that identifies, tracks, and improves alignment of AI projects to RAI be...
UNESCO Recommendation on the Ethics of Artificial Intelligence
UNESCO’s first-ever global standard on AI ethics - the ‘Recommendation on the Ethics of Artificial Intelligence’ - was adopted by all 193 Member States in No...
UNESCO Readiness assessment methodology: a tool of the Recommendation on the Ethics of Artificial Intelligence
The Recommendation, in paragraph 49, states: ‘UNESCO recognizes that Member States will be at different stages of readiness to implement this Recommendation,...
UNESCO Ethical Impact Assessment tool
The Recommendation on the Ethics of AI provides a framework to ensure that AI developments align with the promotion and protection of human rights and human ...
The IEEE Global Initiative on Ethics of Autonomous and Intelligent Systems
The IEEE Global Initiative’s mission is, ‘To ensure every stakeholder involved in the design and development of autonomous and intelligent systems is educate...
The IEEE CertifAIEd Framework for AI Ethics Applied to the City of Vienna
In a proof-of-concept collaboration between the IEEE Standards Association (IEEE SA) and the City of Vienna, the newly developed IEEE CertifAIEd framework wa...
SATW Technology Outlook
The four-quadrant diagram is the actual core of Technology Outlook: The chart shows four fields with different categories. The technologies are positioned ac...
RRI Tools
The project has then gathered a wealth of online resources - the RRI Toolkit - to help stakeholders across Europe put Responsible Research and Innovation int...
Partnership on AI
Partnership on AI (PAI) is a non-profit partnership of academic, civil society, industry, and media organizations creating solutions so that AI advances posi...
OECD Catalogue of tools and Metrics for Trustworthy AI
There are tools and metrics out there that help AI actors to build and deploy AI systems that are trustworthy. However, these tools and metrics are often har...
OCEANIS Global AI Standards Repository
The Global AI Standards Repository is the world’s first centralized, transparent notification system that captures AI and Autonomous and Intelligent Systems ...
NIST AI Risk Management Framework
The AI Risk Management Framework (AI RMF) is intended for voluntary use and to improve the ability to incorporate trustworthiness considerations into the des...
NIST AI Risk Management Framework Playbook
The Playbook provides suggested actions for achieving the outcomes laid out in the AI Risk Management Framework (AI RMF) Core (Tables 1 - 4 in AI RMF 1.0). S...
IEEE CertifAIEd
IEEE CertifAIEd is a certification program for assessing ethics of Autonomous Intelligent Systems (AIS) to help protect, differentiate, and grow product adop...
IEEE 7010-2020: IEEE Recommended Practice for Assessing the Impact of Autonomous and Intelligent Systems on Human Well-Being
The impact of artificial intelligence or autonomous and intelligent systems (A/IS) on humans is measured by this standard. The positive outcome of A/IS on hu...
IEEE 7007-2021: IEEE Ontological Standard for Ethically Driven Robotics and Automation Systems
A set of ontologies with different abstraction levels that contain concepts, definitions, axioms, and use cases that assist in the development of ethically d...
IEEE 7005-2021: IEEE Standard for Transparent Employer Data Governance
Specific methodologies to help employers in accessing, collecting, storing, utilizing, sharing, and destroying employee data are described in this standard. ...
IEEE 7000-2021: IEEE Standard Model Process for Addressing Ethical Concerns during System Design
A set of processes by which organizations can include consideration of ethical values throughout the stages of concept exploration and development is establi...
Eight AI-related US policy issues for boards and management to consider
As the use of AI evolves, boards and the C-suite should consider these key AI-related issues attracting US policymaker attention. (…)
EASA Artificial Intelligence Roadmap 2.0
The EASA Artificial Intelligence Roadmap 2.0 outlines the Agency’s vision for the safety and ethical considerations of AI in aviation. (…)
Deloitte Tech Trends 2023
Deloitte’s 14th annual Tech Trends report explores the impact of emerging technologies on groundbreaking innovations and foundational business areas. Stories...
CDEI portfolio of AI assurance techniques
This page provides details about the CDEI portfolio of AI assurance techniques and how to use it. (…)
Atlas of Automation Switzerland
The Atlas of Automation aims to shed light into this black box. It offers a first directory of examples of algorithmic systems that are used in Switzerland, ...
ALTAI - The Assessment List for Trustworthy Artificial Intelligence
This website contains the Assessment List for Trustworthy AI (ALTAI). ALTAI was developed by the High-Level Expert Group on Artificial Intelligence set up by...
AI regulation: a pro-innovation approach
This white paper details our plans for implementing a pro-innovation approach to AI regulation. We’re seeking views through a supporting consultation. (…)
AI Standards Hub
The new home of the AI standards community. Dedicated to knowledge sharing, capacity building, and world-leading research, the Hub aims to build a vibrant an...
AI Incident Database
The AI Incident Database is dedicated to indexing the collective history of harms or near harms realized in the real world by the deployment of artificial in...
AI Ethics Reading List
This is a compilation of books, papers, and resources that AI Ethicists recommend to help you manage your AI initiatives responsibly or to in general get to ...
AI Asessment catalog
The AI assessment catalog of Fraunhofer IAIS offers a structured guideline that can be used to concretize abstract quality standards into application-specifi...
A survey of artificial intelligence risk assessment methodologies
This report was commissioned to (1) inform policy makers and regulatory stakeholders about noteworthy approaches to AI risk assessment, including leading pra...
AI governance
Use case cards: a use case reporting framework inspired by the European AI Act
Despite recent efforts by the Artificial Intelligence (AI) community to move towards standardised procedures for documenting models, methods, systems or data...
Model cards for model reporting
Trained machine learning models are increasingly used to perform high-impact tasks in areas such as law enforcement, medicine, education, and employment. In ...
IBM AI AI FactSheets 360
This site provides an overview of the FactSheet project, a research effort to foster trust in AI by increasing transparency and enabling governance. (…)
Documenting high-risk AI: a European regulatory perspective
This article discusses transparency obligations introduced in the Artificial Intelligence Act, the recently proposed European regulatory framework for artifi...
Closing the AI accountability gap: Defining an end-to-end framework for internal algorithmic auditing
Rising concern for the societal implications of artificial intelligence systems has inspired a wave of academic and journalistic literature in which deployed...
CapAI-A procedure for conducting conformity assessment of AI systems in line with the EU artificial intelligence act.
We have developed capAI, a conformity assessment procedure for AI systems, to provide an independent, comparable, quantifiable, and accountable assessment of...
AI Watch: Artificial Intelligence Standardisation Landscape Update. No. JRC131155
The European Commission presented in April 2021 the AI Act, its proposed legislative framework for Artificial Intelligence, which sets the necessary regulato...
UNESCO Recommendation on the Ethics of Artificial Intelligence
UNESCO’s first-ever global standard on AI ethics - the ‘Recommendation on the Ethics of Artificial Intelligence’ - was adopted by all 193 Member States in No...
UNESCO Readiness assessment methodology: a tool of the Recommendation on the Ethics of Artificial Intelligence
The Recommendation, in paragraph 49, states: ‘UNESCO recognizes that Member States will be at different stages of readiness to implement this Recommendation,...
UNESCO Ethical Impact Assessment tool
The Recommendation on the Ethics of AI provides a framework to ensure that AI developments align with the promotion and protection of human rights and human ...
The IEEE Global Initiative on Ethics of Autonomous and Intelligent Systems
The IEEE Global Initiative’s mission is, ‘To ensure every stakeholder involved in the design and development of autonomous and intelligent systems is educate...
The IEEE CertifAIEd Framework for AI Ethics Applied to the City of Vienna
In a proof-of-concept collaboration between the IEEE Standards Association (IEEE SA) and the City of Vienna, the newly developed IEEE CertifAIEd framework wa...
Partnership on AI
Partnership on AI (PAI) is a non-profit partnership of academic, civil society, industry, and media organizations creating solutions so that AI advances posi...
OECD Catalogue of tools and Metrics for Trustworthy AI
There are tools and metrics out there that help AI actors to build and deploy AI systems that are trustworthy. However, these tools and metrics are often har...
OCEANIS Global AI Standards Repository
The Global AI Standards Repository is the world’s first centralized, transparent notification system that captures AI and Autonomous and Intelligent Systems ...
NIST AI Risk Management Framework
The AI Risk Management Framework (AI RMF) is intended for voluntary use and to improve the ability to incorporate trustworthiness considerations into the des...
NIST AI Risk Management Framework Playbook
The Playbook provides suggested actions for achieving the outcomes laid out in the AI Risk Management Framework (AI RMF) Core (Tables 1 - 4 in AI RMF 1.0). S...
IEEE Computer Society Trends
In-depth analysis of the latest tech trends, with highlights of the top research from the world’s standard-bearer for computing professionals. (…)
IEEE CertifAIEd
IEEE CertifAIEd is a certification program for assessing ethics of Autonomous Intelligent Systems (AIS) to help protect, differentiate, and grow product adop...
IEEE 7010-2020: IEEE Recommended Practice for Assessing the Impact of Autonomous and Intelligent Systems on Human Well-Being
The impact of artificial intelligence or autonomous and intelligent systems (A/IS) on humans is measured by this standard. The positive outcome of A/IS on hu...
IEEE 7007-2021: IEEE Ontological Standard for Ethically Driven Robotics and Automation Systems
A set of ontologies with different abstraction levels that contain concepts, definitions, axioms, and use cases that assist in the development of ethically d...
IEEE 7005-2021: IEEE Standard for Transparent Employer Data Governance
Specific methodologies to help employers in accessing, collecting, storing, utilizing, sharing, and destroying employee data are described in this standard. ...
IEEE 7002-2022: IEEE Standard for Data Privacy Process
The requirements for a systems/software engineering process for privacy-oriented considerations regarding products, services, and systems utilizing employee,...
IEEE 7001-2021: IEEE Standard for Transparency of Autonomous Systems
Measurable, testable levels of transparency, so that autonomous systems can be objectively assessed, and levels of compliance determined, are described in th...
IEEE 7000-2021: IEEE Standard Model Process for Addressing Ethical Concerns during System Design
A set of processes by which organizations can include consideration of ethical values throughout the stages of concept exploration and development is establi...
Eight AI-related US policy issues for boards and management to consider
As the use of AI evolves, boards and the C-suite should consider these key AI-related issues attracting US policymaker attention. (…)
EASA Artificial Intelligence Roadmap 2.0
The EASA Artificial Intelligence Roadmap 2.0 outlines the Agency’s vision for the safety and ethical considerations of AI in aviation. (…)
CyberPeace Institute Approach to Responsible Use of Artificial Intelligence
CyberPeace Insititute principles on the usage of AI: data collection and processing, knowledge production, talent management, stakeholder engagement, and cri...
CDEI portfolio of AI assurance techniques
This page provides details about the CDEI portfolio of AI assurance techniques and how to use it. (…)
Atlas of Automation Switzerland
The Atlas of Automation aims to shed light into this black box. It offers a first directory of examples of algorithmic systems that are used in Switzerland, ...
ALTAI - The Assessment List for Trustworthy Artificial Intelligence
This website contains the Assessment List for Trustworthy AI (ALTAI). ALTAI was developed by the High-Level Expert Group on Artificial Intelligence set up by...
AI regulation: a pro-innovation approach
This white paper details our plans for implementing a pro-innovation approach to AI regulation. We’re seeking views through a supporting consultation. (…)
AI Standards Hub
The new home of the AI standards community. Dedicated to knowledge sharing, capacity building, and world-leading research, the Hub aims to build a vibrant an...
AI Ethics Reading List
This is a compilation of books, papers, and resources that AI Ethicists recommend to help you manage your AI initiatives responsibly or to in general get to ...
AI Asessment catalog
The AI assessment catalog of Fraunhofer IAIS offers a structured guideline that can be used to concretize abstract quality standards into application-specifi...
A survey of artificial intelligence risk assessment methodologies
This report was commissioned to (1) inform policy makers and regulatory stakeholders about noteworthy approaches to AI risk assessment, including leading pra...
Other Technologies
US Dept Defense Responsible Artificial Intelligence Toolkit
The Responsible Artificial Intelligence (RAI) Toolkit provides a centralized process that identifies, tracks, and improves alignment of AI projects to RAI be...
UNESCO Recommendation on the Ethics of Artificial Intelligence
UNESCO’s first-ever global standard on AI ethics - the ‘Recommendation on the Ethics of Artificial Intelligence’ - was adopted by all 193 Member States in No...
UNESCO Readiness assessment methodology: a tool of the Recommendation on the Ethics of Artificial Intelligence
The Recommendation, in paragraph 49, states: ‘UNESCO recognizes that Member States will be at different stages of readiness to implement this Recommendation,...
UNESCO Ethical Impact Assessment tool
The Recommendation on the Ethics of AI provides a framework to ensure that AI developments align with the promotion and protection of human rights and human ...
The IEEE Global Initiative on Ethics of Autonomous and Intelligent Systems
The IEEE Global Initiative’s mission is, ‘To ensure every stakeholder involved in the design and development of autonomous and intelligent systems is educate...
The IEEE CertifAIEd Framework for AI Ethics Applied to the City of Vienna
In a proof-of-concept collaboration between the IEEE Standards Association (IEEE SA) and the City of Vienna, the newly developed IEEE CertifAIEd framework wa...
Swiss Academy of Engineering Sciences SATW
The Swiss Academy of Engineering Sciences SATW is the most important network of experts for engineering sciences in Switzerland and is in contact with the hi...
RRI Tools
The project has then gathered a wealth of online resources - the RRI Toolkit - to help stakeholders across Europe put Responsible Research and Innovation int...
Partnership on AI
Partnership on AI (PAI) is a non-profit partnership of academic, civil society, industry, and media organizations creating solutions so that AI advances posi...
OECD Catalogue of tools and Metrics for Trustworthy AI
There are tools and metrics out there that help AI actors to build and deploy AI systems that are trustworthy. However, these tools and metrics are often har...
OCEANIS Global AI Standards Repository
The Global AI Standards Repository is the world’s first centralized, transparent notification system that captures AI and Autonomous and Intelligent Systems ...
NIST AI Risk Management Framework
The AI Risk Management Framework (AI RMF) is intended for voluntary use and to improve the ability to incorporate trustworthiness considerations into the des...
NIST AI Risk Management Framework Playbook
The Playbook provides suggested actions for achieving the outcomes laid out in the AI Risk Management Framework (AI RMF) Core (Tables 1 - 4 in AI RMF 1.0). S...
IEEE Computer Society Trends
In-depth analysis of the latest tech trends, with highlights of the top research from the world’s standard-bearer for computing professionals. (…)
IEEE CertifAIEd
IEEE CertifAIEd is a certification program for assessing ethics of Autonomous Intelligent Systems (AIS) to help protect, differentiate, and grow product adop...
IEEE 7010-2020: IEEE Recommended Practice for Assessing the Impact of Autonomous and Intelligent Systems on Human Well-Being
The impact of artificial intelligence or autonomous and intelligent systems (A/IS) on humans is measured by this standard. The positive outcome of A/IS on hu...
IEEE 7005-2021: IEEE Standard for Transparent Employer Data Governance
Specific methodologies to help employers in accessing, collecting, storing, utilizing, sharing, and destroying employee data are described in this standard. ...
IEEE 7002-2022: IEEE Standard for Data Privacy Process
The requirements for a systems/software engineering process for privacy-oriented considerations regarding products, services, and systems utilizing employee,...
IEEE 7001-2021: IEEE Standard for Transparency of Autonomous Systems
Measurable, testable levels of transparency, so that autonomous systems can be objectively assessed, and levels of compliance determined, are described in th...
IEEE 7000-2021: IEEE Standard Model Process for Addressing Ethical Concerns during System Design
A set of processes by which organizations can include consideration of ethical values throughout the stages of concept exploration and development is establi...
Factsheet for ethical hackers
Data protection and security breaches were reported to the FDPIC by well-meaning hackers commonly referred to as ‘white hat hackers’. For example, after rece...
Deloitte Tech Trends 2023
Deloitte’s 14th annual Tech Trends report explores the impact of emerging technologies on groundbreaking innovations and foundational business areas. Stories...
CDEI portfolio of AI assurance techniques
This page provides details about the CDEI portfolio of AI assurance techniques and how to use it. (…)
Atlas of Automation Switzerland
The Atlas of Automation aims to shed light into this black box. It offers a first directory of examples of algorithmic systems that are used in Switzerland, ...
ALTAI - The Assessment List for Trustworthy Artificial Intelligence
This website contains the Assessment List for Trustworthy AI (ALTAI). ALTAI was developed by the High-Level Expert Group on Artificial Intelligence set up by...
AI regulation: a pro-innovation approach
This white paper details our plans for implementing a pro-innovation approach to AI regulation. We’re seeking views through a supporting consultation. (…)
AI Standards Hub
The new home of the AI standards community. Dedicated to knowledge sharing, capacity building, and world-leading research, the Hub aims to build a vibrant an...
AI Incident Database
The AI Incident Database is dedicated to indexing the collective history of harms or near harms realized in the real world by the deployment of artificial in...
AI Ethics Reading List
This is a compilation of books, papers, and resources that AI Ethicists recommend to help you manage your AI initiatives responsibly or to in general get to ...
AI Asessment catalog
The AI assessment catalog of Fraunhofer IAIS offers a structured guideline that can be used to concretize abstract quality standards into application-specifi...
A survey of artificial intelligence risk assessment methodologies
This report was commissioned to (1) inform policy makers and regulatory stakeholders about noteworthy approaches to AI risk assessment, including leading pra...
Policy Making
US Dept Defense Responsible Artificial Intelligence Toolkit
The Responsible Artificial Intelligence (RAI) Toolkit provides a centralized process that identifies, tracks, and improves alignment of AI projects to RAI be...
UNESCO Recommendation on the Ethics of Artificial Intelligence
UNESCO’s first-ever global standard on AI ethics - the ‘Recommendation on the Ethics of Artificial Intelligence’ - was adopted by all 193 Member States in No...
UNESCO Readiness assessment methodology: a tool of the Recommendation on the Ethics of Artificial Intelligence
The Recommendation, in paragraph 49, states: ‘UNESCO recognizes that Member States will be at different stages of readiness to implement this Recommendation,...
UNESCO Ethical Impact Assessment tool
The Recommendation on the Ethics of AI provides a framework to ensure that AI developments align with the promotion and protection of human rights and human ...
The IEEE Global Initiative on Ethics of Autonomous and Intelligent Systems
The IEEE Global Initiative’s mission is, ‘To ensure every stakeholder involved in the design and development of autonomous and intelligent systems is educate...
Swiss National Cyberstrategy (NCS): A Quantitative Assessment of the Cybersecurity Research Landscape
This study provides the first systematic and quantitative evaluation of the Swiss cybersecurity research landscape. It aims to guide policymakers, universiti...
Swiss Academy of Engineering Sciences SATW
The Swiss Academy of Engineering Sciences SATW is the most important network of experts for engineering sciences in Switzerland and is in contact with the hi...
SATW Technology Outlook
The four-quadrant diagram is the actual core of Technology Outlook: The chart shows four fields with different categories. The technologies are positioned ac...
Partnership on AI
Partnership on AI (PAI) is a non-profit partnership of academic, civil society, industry, and media organizations creating solutions so that AI advances posi...
OECD Catalogue of tools and Metrics for Trustworthy AI
There are tools and metrics out there that help AI actors to build and deploy AI systems that are trustworthy. However, these tools and metrics are often har...
OCEANIS Global AI Standards Repository
The Global AI Standards Repository is the world’s first centralized, transparent notification system that captures AI and Autonomous and Intelligent Systems ...
National strategy for the protection of Switzerland against cyber risks (NCS)
The new national cyberstrategy (NCS) was approved by the Federal Council during its meeting on 5 April 2023 and by the cantons during today’s plenary session...
NIST AI Risk Management Framework
The AI Risk Management Framework (AI RMF) is intended for voluntary use and to improve the ability to incorporate trustworthiness considerations into the des...
NIST AI Risk Management Framework Playbook
The Playbook provides suggested actions for achieving the outcomes laid out in the AI Risk Management Framework (AI RMF) Core (Tables 1 - 4 in AI RMF 1.0). S...
IEEE 7000-2021: IEEE Standard Model Process for Addressing Ethical Concerns during System Design
A set of processes by which organizations can include consideration of ethical values throughout the stages of concept exploration and development is establi...
Eight AI-related US policy issues for boards and management to consider
As the use of AI evolves, boards and the C-suite should consider these key AI-related issues attracting US policymaker attention. (…)
CyberPeace Institute Approach to Responsible Use of Artificial Intelligence
CyberPeace Insititute principles on the usage of AI: data collection and processing, knowledge production, talent management, stakeholder engagement, and cri...
Cyber-Defence Campus
The Cyber-Defence Campus (CYD Campus) was founded in 2019 in order to strengthen Switzerland’s cyber defence and to anticipate cyber developments more quickl...
Atlas of Automation Switzerland
The Atlas of Automation aims to shed light into this black box. It offers a first directory of examples of algorithmic systems that are used in Switzerland, ...
AI regulation: a pro-innovation approach
This white paper details our plans for implementing a pro-innovation approach to AI regulation. We’re seeking views through a supporting consultation. (…)
AI Standards Hub
The new home of the AI standards community. Dedicated to knowledge sharing, capacity building, and world-leading research, the Hub aims to build a vibrant an...
AI Incident Database
The AI Incident Database is dedicated to indexing the collective history of harms or near harms realized in the real world by the deployment of artificial in...
AI Ethics Reading List
This is a compilation of books, papers, and resources that AI Ethicists recommend to help you manage your AI initiatives responsibly or to in general get to ...
AI Asessment catalog
The AI assessment catalog of Fraunhofer IAIS offers a structured guideline that can be used to concretize abstract quality standards into application-specifi...
A survey of artificial intelligence risk assessment methodologies
This report was commissioned to (1) inform policy makers and regulatory stakeholders about noteworthy approaches to AI risk assessment, including leading pra...
Digital Technologies
Use case cards: a use case reporting framework inspired by the European AI Act
Despite recent efforts by the Artificial Intelligence (AI) community to move towards standardised procedures for documenting models, methods, systems or data...
The AI Ethics Revolution - A Brief Timeline
The first 100 Brilliant Women in AI Ethics list was published in 2018 and since then, we’ve published a list every year to recognize the diverse voices toili...
On the Dangers of Stochastic Parrots: Can Language Models Be Too Big?
The past 3 years of work in NLP have been characterized by the development and deployment of ever larger language models, especially for English. BERT, its v...
Model cards for model reporting
Trained machine learning models are increasingly used to perform high-impact tasks in areas such as law enforcement, medicine, education, and employment. In ...
IBM AI Fairness 360
This extensible open source toolkit can help you examine, report, and mitigate discrimination and bias in machine learning models throughout the AI applicati...
IBM AI Explainability 360
This extensible open source toolkit can help you comprehend how machine learning models predict labels by various means throughout the AI application lifecyc...
IBM AI AI Privacy 360
The AI Privacy 360 Toolbox includes several tools to support the assessment of privacy risks of AI-based solutions, and to help them adhere to any relevant p...
IBM AI AI FactSheets 360
This site provides an overview of the FactSheet project, a research effort to foster trust in AI by increasing transparency and enabling governance. (…)
Documenting high-risk AI: a European regulatory perspective
This article discusses transparency obligations introduced in the Artificial Intelligence Act, the recently proposed European regulatory framework for artifi...
Closing the AI accountability gap: Defining an end-to-end framework for internal algorithmic auditing
Rising concern for the societal implications of artificial intelligence systems has inspired a wave of academic and journalistic literature in which deployed...
CapAI-A procedure for conducting conformity assessment of AI systems in line with the EU artificial intelligence act.
We have developed capAI, a conformity assessment procedure for AI systems, to provide an independent, comparable, quantifiable, and accountable assessment of...
AI Watch: Artificial Intelligence Standardisation Landscape Update. No. JRC131155
The European Commission presented in April 2021 the AI Act, its proposed legislative framework for Artificial Intelligence, which sets the necessary regulato...
The Foundation Model Transparency Index
We introduce the Foundation Model Transparency Index to assess the transparency of foundation model developers. We design the Index around 100 transparency i...
TensorFlow Responsible AI tools
Learn how to integrate Responsible AI practices into your ML workflow using TensorFlow TensorFlow is committed to helping make progress in the responsible de...
Navigating the AI Landscape in Switzerland: Policy Implications for Critical Infrastructure
Switzerland’s energy and health sectors will see the rapid adoption of AI systems in the coming years. Anticipated benefits include better, personalised heal...
Microsoft Responsible AI Toolbox
Responsible AI Toolbox Capabilities The Responsible AI Toolbox enables AI practitioners to design flexible and custom model assessment and decision-making wo...
SATW Technology Outlook
The four-quadrant diagram is the actual core of Technology Outlook: The chart shows four fields with different categories. The technologies are positioned ac...
Eight AI-related US policy issues for boards and management to consider
As the use of AI evolves, boards and the C-suite should consider these key AI-related issues attracting US policymaker attention. (…)
AI Development
Use case cards: a use case reporting framework inspired by the European AI Act
Despite recent efforts by the Artificial Intelligence (AI) community to move towards standardised procedures for documenting models, methods, systems or data...
The AI Ethics Revolution - A Brief Timeline
The first 100 Brilliant Women in AI Ethics list was published in 2018 and since then, we’ve published a list every year to recognize the diverse voices toili...
On the Dangers of Stochastic Parrots: Can Language Models Be Too Big?
The past 3 years of work in NLP have been characterized by the development and deployment of ever larger language models, especially for English. BERT, its v...
Model cards for model reporting
Trained machine learning models are increasingly used to perform high-impact tasks in areas such as law enforcement, medicine, education, and employment. In ...
IBM AI Fairness 360
This extensible open source toolkit can help you examine, report, and mitigate discrimination and bias in machine learning models throughout the AI applicati...
IBM AI Explainability 360
This extensible open source toolkit can help you comprehend how machine learning models predict labels by various means throughout the AI application lifecyc...
IBM AI AI Privacy 360
The AI Privacy 360 Toolbox includes several tools to support the assessment of privacy risks of AI-based solutions, and to help them adhere to any relevant p...
IBM AI AI FactSheets 360
This site provides an overview of the FactSheet project, a research effort to foster trust in AI by increasing transparency and enabling governance. (…)
Documenting high-risk AI: a European regulatory perspective
This article discusses transparency obligations introduced in the Artificial Intelligence Act, the recently proposed European regulatory framework for artifi...
Closing the AI accountability gap: Defining an end-to-end framework for internal algorithmic auditing
Rising concern for the societal implications of artificial intelligence systems has inspired a wave of academic and journalistic literature in which deployed...
CapAI-A procedure for conducting conformity assessment of AI systems in line with the EU artificial intelligence act.
We have developed capAI, a conformity assessment procedure for AI systems, to provide an independent, comparable, quantifiable, and accountable assessment of...
AI Watch: Artificial Intelligence Standardisation Landscape Update. No. JRC131155
The European Commission presented in April 2021 the AI Act, its proposed legislative framework for Artificial Intelligence, which sets the necessary regulato...
The Foundation Model Transparency Index
We introduce the Foundation Model Transparency Index to assess the transparency of foundation model developers. We design the Index around 100 transparency i...
TensorFlow Responsible AI tools
Learn how to integrate Responsible AI practices into your ML workflow using TensorFlow TensorFlow is committed to helping make progress in the responsible de...
Microsoft Responsible AI Toolbox
Responsible AI Toolbox Capabilities The Responsible AI Toolbox enables AI practitioners to design flexible and custom model assessment and decision-making wo...
Security
Trust Valley
The Trust Valley is a public-private partnership aimed at promoting the excellence of the Lake Geneva region in the field of digital trust and cybersecurity....
The Future of Cybersecurity in an AI-Driven World
Cybersecurity has evolved significantly as technology has advanced. Increased interconnectivity and digital transformation have both significantly altered ho...
The Future of Cybersecurity in an AI-Driven World
Cybersecurity has evolved significantly as technology has advanced. Increased interconnectivity and digital transformation have both significantly altered ho...
Swiss National Cyberstrategy (NCS): A Quantitative Assessment of the Cybersecurity Research Landscape
This study provides the first systematic and quantitative evaluation of the Swiss cybersecurity research landscape. It aims to guide policymakers, universiti...
National strategy for the protection of Switzerland against cyber risks (NCS)
The new national cyberstrategy (NCS) was approved by the Federal Council during its meeting on 5 April 2023 and by the cantons during today’s plenary session...
How AI is Disrupting And Transforming The Cybersecurity Landscape
One of the reasons for the rapid acceleration of cybercrime is the lower barrier to entry for malicious actors. Cybercriminals have evolved their business mo...
Factsheet for ethical hackers
Data protection and security breaches were reported to the FDPIC by well-meaning hackers commonly referred to as ‘white hat hackers’. For example, after rece...
Factsheet for ethical hackers
Data protection and security breaches were reported to the FDPIC by well-meaning hackers commonly referred to as ‘white hat hackers’. For example, after rece...
Cybersecurity and AI: The challenges and opportunities
As Artificial Intelligence (AI) advances rapidly, so does its potential to be used in cybercrime. (…)
CyberPeace Institute Approach to Responsible Use of Artificial Intelligence
CyberPeace Insititute principles on the usage of AI: data collection and processing, knowledge production, talent management, stakeholder engagement, and cri...
Cyber-Defence Campus
The Cyber-Defence Campus (CYD Campus) was founded in 2019 in order to strengthen Switzerland’s cyber defence and to anticipate cyber developments more quickl...
Cyber AI: Real defense
As organizations struggle with security breaches, cyber AI can be a force multiplier, enabling security teams not only to respond faster than cyberattackers ...
AI for Cybersecurity and Cybercrime - How Artificial Intelligence Is Battling Itself
Experts believe that Artificial Intelligence (AI) and Machine Learning (ML) have both negative and positive effects on cybersecurity. AI algorithms use train...
AI for Cybersecurity and Cybercrime - How Artificial Intelligence Is Battling Itself
Experts believe that Artificial Intelligence (AI) and Machine Learning (ML) have both negative and positive effects on cybersecurity. AI algorithms use train...
Cyber Technologies
Trust Valley
The Trust Valley is a public-private partnership aimed at promoting the excellence of the Lake Geneva region in the field of digital trust and cybersecurity....
The Future of Cybersecurity in an AI-Driven World
Cybersecurity has evolved significantly as technology has advanced. Increased interconnectivity and digital transformation have both significantly altered ho...
Swiss National Cyberstrategy (NCS): A Quantitative Assessment of the Cybersecurity Research Landscape
This study provides the first systematic and quantitative evaluation of the Swiss cybersecurity research landscape. It aims to guide policymakers, universiti...
National strategy for the protection of Switzerland against cyber risks (NCS)
The new national cyberstrategy (NCS) was approved by the Federal Council during its meeting on 5 April 2023 and by the cantons during today’s plenary session...
How AI is Disrupting And Transforming The Cybersecurity Landscape
One of the reasons for the rapid acceleration of cybercrime is the lower barrier to entry for malicious actors. Cybercriminals have evolved their business mo...
Factsheet for ethical hackers
Data protection and security breaches were reported to the FDPIC by well-meaning hackers commonly referred to as ‘white hat hackers’. For example, after rece...
Cybersecurity and AI: The challenges and opportunities
As Artificial Intelligence (AI) advances rapidly, so does its potential to be used in cybercrime. (…)
CyberPeace Institute Approach to Responsible Use of Artificial Intelligence
CyberPeace Insititute principles on the usage of AI: data collection and processing, knowledge production, talent management, stakeholder engagement, and cri...
Cyber-Defence Campus
The Cyber-Defence Campus (CYD Campus) was founded in 2019 in order to strengthen Switzerland’s cyber defence and to anticipate cyber developments more quickl...
Cyber AI: Real defense
As organizations struggle with security breaches, cyber AI can be a force multiplier, enabling security teams not only to respond faster than cyberattackers ...
AI for Cybersecurity and Cybercrime - How Artificial Intelligence Is Battling Itself
Experts believe that Artificial Intelligence (AI) and Machine Learning (ML) have both negative and positive effects on cybersecurity. AI algorithms use train...
Cybersecurity
Trust Valley
The Trust Valley is a public-private partnership aimed at promoting the excellence of the Lake Geneva region in the field of digital trust and cybersecurity....
The Future of Cybersecurity in an AI-Driven World
Cybersecurity has evolved significantly as technology has advanced. Increased interconnectivity and digital transformation have both significantly altered ho...
Swiss National Cyberstrategy (NCS): A Quantitative Assessment of the Cybersecurity Research Landscape
This study provides the first systematic and quantitative evaluation of the Swiss cybersecurity research landscape. It aims to guide policymakers, universiti...
National strategy for the protection of Switzerland against cyber risks (NCS)
The new national cyberstrategy (NCS) was approved by the Federal Council during its meeting on 5 April 2023 and by the cantons during today’s plenary session...
How AI is Disrupting And Transforming The Cybersecurity Landscape
One of the reasons for the rapid acceleration of cybercrime is the lower barrier to entry for malicious actors. Cybercriminals have evolved their business mo...
Factsheet for ethical hackers
Data protection and security breaches were reported to the FDPIC by well-meaning hackers commonly referred to as ‘white hat hackers’. For example, after rece...
CyberPeace Institute Approach to Responsible Use of Artificial Intelligence
CyberPeace Insititute principles on the usage of AI: data collection and processing, knowledge production, talent management, stakeholder engagement, and cri...
Cyber-Defence Campus
The Cyber-Defence Campus (CYD Campus) was founded in 2019 in order to strengthen Switzerland’s cyber defence and to anticipate cyber developments more quickl...
Cyber AI: Real defense
As organizations struggle with security breaches, cyber AI can be a force multiplier, enabling security teams not only to respond faster than cyberattackers ...
AI for Cybersecurity and Cybercrime - How Artificial Intelligence Is Battling Itself
Experts believe that Artificial Intelligence (AI) and Machine Learning (ML) have both negative and positive effects on cybersecurity. AI algorithms use train...
Technology Landscape
Navigating the AI Landscape in Switzerland: Policy Implications for Critical Infrastructure
Switzerland’s energy and health sectors will see the rapid adoption of AI systems in the coming years. Anticipated benefits include better, personalised heal...
Swiss National Cyberstrategy (NCS): A Quantitative Assessment of the Cybersecurity Research Landscape
This study provides the first systematic and quantitative evaluation of the Swiss cybersecurity research landscape. It aims to guide policymakers, universiti...
SATW Technology Outlook
The four-quadrant diagram is the actual core of Technology Outlook: The chart shows four fields with different categories. The technologies are positioned ac...
RRI Tools
The project has then gathered a wealth of online resources - the RRI Toolkit - to help stakeholders across Europe put Responsible Research and Innovation int...
IEEE Computer Society Trends
In-depth analysis of the latest tech trends, with highlights of the top research from the world’s standard-bearer for computing professionals. (…)
Deloitte Tech Trends 2023
Deloitte’s 14th annual Tech Trends report explores the impact of emerging technologies on groundbreaking innovations and foundational business areas. Stories...
Cybersecurity and AI: The challenges and opportunities
As Artificial Intelligence (AI) advances rapidly, so does its potential to be used in cybercrime. (…)
AI Incident Database
The AI Incident Database is dedicated to indexing the collective history of harms or near harms realized in the real world by the deployment of artificial in...
Responsible Research and Innovation
The AI Ethics Revolution - A Brief Timeline
The first 100 Brilliant Women in AI Ethics list was published in 2018 and since then, we’ve published a list every year to recognize the diverse voices toili...
IBM AI Fairness 360
This extensible open source toolkit can help you examine, report, and mitigate discrimination and bias in machine learning models throughout the AI applicati...
IBM AI Explainability 360
This extensible open source toolkit can help you comprehend how machine learning models predict labels by various means throughout the AI application lifecyc...
IBM AI AI Privacy 360
The AI Privacy 360 Toolbox includes several tools to support the assessment of privacy risks of AI-based solutions, and to help them adhere to any relevant p...
TensorFlow Responsible AI tools
Learn how to integrate Responsible AI practices into your ML workflow using TensorFlow TensorFlow is committed to helping make progress in the responsible de...
Microsoft Responsible AI Toolbox
Responsible AI Toolbox Capabilities The Responsible AI Toolbox enables AI practitioners to design flexible and custom model assessment and decision-making wo...
US Dept Defense Responsible Artificial Intelligence Toolkit
The Responsible Artificial Intelligence (RAI) Toolkit provides a centralized process that identifies, tracks, and improves alignment of AI projects to RAI be...
Innovation
Trust Valley
The Trust Valley is a public-private partnership aimed at promoting the excellence of the Lake Geneva region in the field of digital trust and cybersecurity....
Swiss Academy of Engineering Sciences SATW
The Swiss Academy of Engineering Sciences SATW is the most important network of experts for engineering sciences in Switzerland and is in contact with the hi...
SATW Technology Outlook
The four-quadrant diagram is the actual core of Technology Outlook: The chart shows four fields with different categories. The technologies are positioned ac...
RRI Tools
The project has then gathered a wealth of online resources - the RRI Toolkit - to help stakeholders across Europe put Responsible Research and Innovation int...
Eight AI-related US policy issues for boards and management to consider
As the use of AI evolves, boards and the C-suite should consider these key AI-related issues attracting US policymaker attention. (…)
Digital Trust
Trust Valley
The Trust Valley is a public-private partnership aimed at promoting the excellence of the Lake Geneva region in the field of digital trust and cybersecurity....
National strategy for the protection of Switzerland against cyber risks (NCS)
The new national cyberstrategy (NCS) was approved by the Federal Council during its meeting on 5 April 2023 and by the cantons during today’s plenary session...
Factsheet for ethical hackers
Data protection and security breaches were reported to the FDPIC by well-meaning hackers commonly referred to as ‘white hat hackers’. For example, after rece...
Cyber-Defence Campus
The Cyber-Defence Campus (CYD Campus) was founded in 2019 in order to strengthen Switzerland’s cyber defence and to anticipate cyber developments more quickl...
GenerativeAI
How AI is Disrupting And Transforming The Cybersecurity Landscape
One of the reasons for the rapid acceleration of cybercrime is the lower barrier to entry for malicious actors. Cybercriminals have evolved their business mo...
Cybersecurity and AI: The challenges and opportunities
As Artificial Intelligence (AI) advances rapidly, so does its potential to be used in cybercrime. (…)
Cyber AI: Real defense
As organizations struggle with security breaches, cyber AI can be a force multiplier, enabling security teams not only to respond faster than cyberattackers ...
Industry 4.0
IEEE 7010-2020: IEEE Recommended Practice for Assessing the Impact of Autonomous and Intelligent Systems on Human Well-Being
The impact of artificial intelligence or autonomous and intelligent systems (A/IS) on humans is measured by this standard. The positive outcome of A/IS on hu...
IEEE 7007-2021: IEEE Ontological Standard for Ethically Driven Robotics and Automation Systems
A set of ontologies with different abstraction levels that contain concepts, definitions, axioms, and use cases that assist in the development of ethically d...
Other Topics
Swiss Academy of Engineering Sciences SATW
The Swiss Academy of Engineering Sciences SATW is the most important network of experts for engineering sciences in Switzerland and is in contact with the hi...
Swiss Academy of Engineering Sciences SATW
The Swiss Academy of Engineering Sciences SATW is the most important network of experts for engineering sciences in Switzerland and is in contact with the hi...
Energy
Navigating the AI Landscape in Switzerland: Policy Implications for Critical Infrastructure
Switzerland’s energy and health sectors will see the rapid adoption of AI systems in the coming years. Anticipated benefits include better, personalised heal...
The IEEE CertifAIEd Framework for AI Ethics Applied to the City of Vienna
In a proof-of-concept collaboration between the IEEE Standards Association (IEEE SA) and the City of Vienna, the newly developed IEEE CertifAIEd framework wa...
Foundational Models
On the Dangers of Stochastic Parrots: Can Language Models Be Too Big?
The past 3 years of work in NLP have been characterized by the development and deployment of ever larger language models, especially for English. BERT, its v...
The Foundation Model Transparency Index
We introduce the Foundation Model Transparency Index to assess the transparency of foundation model developers. We design the Index around 100 transparency i...
Other
Deloitte Tech Trends 2023
Deloitte’s 14th annual Tech Trends report explores the impact of emerging technologies on groundbreaking innovations and foundational business areas. Stories...
Aeronautics
EASA Artificial Intelligence Roadmap 2.0
The EASA Artificial Intelligence Roadmap 2.0 outlines the Agency’s vision for the safety and ethical considerations of AI in aviation. (…)
Mobility
EASA Artificial Intelligence Roadmap 2.0
The EASA Artificial Intelligence Roadmap 2.0 outlines the Agency’s vision for the safety and ethical considerations of AI in aviation. (…)
Autonomous vehicles
IEEE 7001-2021: IEEE Standard for Transparency of Autonomous Systems
Measurable, testable levels of transparency, so that autonomous systems can be objectively assessed, and levels of compliance determined, are described in th...
Data Protection
IEEE 7002-2022: IEEE Standard for Data Privacy Process
The requirements for a systems/software engineering process for privacy-oriented considerations regarding products, services, and systems utilizing employee,...
Employment
IEEE 7005-2021: IEEE Standard for Transparent Employer Data Governance
Specific methodologies to help employers in accessing, collecting, storing, utilizing, sharing, and destroying employee data are described in this standard. ...
Robotics
IEEE 7007-2021: IEEE Ontological Standard for Ethically Driven Robotics and Automation Systems
A set of ontologies with different abstraction levels that contain concepts, definitions, axioms, and use cases that assist in the development of ethically d...
Smart Cities
The IEEE CertifAIEd Framework for AI Ethics Applied to the City of Vienna
In a proof-of-concept collaboration between the IEEE Standards Association (IEEE SA) and the City of Vienna, the newly developed IEEE CertifAIEd framework wa...
Health
Navigating the AI Landscape in Switzerland: Policy Implications for Critical Infrastructure
Switzerland’s energy and health sectors will see the rapid adoption of AI systems in the coming years. Anticipated benefits include better, personalised heal...