This page is currently being updated. Please consider this provisional version. June, 2020
IBM ™
“This extensible open source toolkit can help you examine, report, and mitigate discrimination and bias in machine learning models throughout the AI application lifecycle. Containing over 70 fairness metrics and 10 state-of-the-art bias mitigation algorithms developed by the research community, it is designed to translate algorithmic research from the lab into the actual practice of domains as wide-ranging as finance, human capital management, healthcare, and education. We invite you to use it and improve it”.
ISACA ™
«COBIT 2019 Design Guide: Designing an Information and Technology Governance Solution is a breakthrough publication for the COBIT framework. Since there is no such thing as a one-size-fits-all governance system for enterprise I&T, every organization must uniquely tailor its governance system in order to maximize value out of its uses of I&T. The COBIT 2019 Design Guide provides a blueprint for enterprises through the use of design factors.”»
Google ™
“People + AI Research (PAIR) is a multidisciplinary team at Google that explores the human side of AI by doing fundamental research, building tools, creating design frameworks, and working with diverse communities. We believe that for machine learning to achieve its positive potential, it needs to be participatory, involving the communities it affects and guided by a diverse set of citizens, policy-makers, activists, artists and more”.