This extensible open source toolkit can help you examine, report, and mitigate discrimination and bias in machine learning models throughout the AI application lifecycle. We invite you to use and improve it.
Source: IBM
Despite recent efforts by the Artificial Intelligence (AI) community to move towards standardised procedures for documenting models, methods, systems or data...
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...
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...
Trained machine learning models are increasingly used to perform high-impact tasks in areas such as law enforcement, medicine, education, and employment. In ...
