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...
ethics tools
see resources as a list (best for mobile)
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 ...
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...
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 ...
IEEE CertifAIEd
IEEE CertifAIEd is a certification program for assessing ethics of Autonomous Intelligent Systems (AIS) to help protect, differentiate, and grow product adop...
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...
CDEI portfolio of AI assurance techniques
This page provides details about the CDEI portfolio of AI assurance techniques and how to use it. (…)
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 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 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...