🔬 Research summary by Connor Wright, our Partnerships Manager. [Original paper by Sasha Costanza-Chock, Inioluwa Deborah Raji, Joy Buolamwini] Overview: The AI audit field is now larger than ever as a … [Read more...] about Who Audits the Auditors? Recommendations from a field scan of the algorithmic auditing ecosystem
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Principios éticos para una inteligencia artificial antropocéntrica: consensos actuales desde una perspectiva global y regional.
✍️ Column by Mariana Sánchez CaparrĂłs, an investigator in the area of AI, gender and non discrimination at the Innovation and Artificial Intelligence Laboratory of the University of Buenos Aires (IALAB-UBA). Mariana's … [Read more...] about Principios Ă©ticos para una inteligencia artificial antropocĂ©ntrica: consensos actuales desde una perspectiva global y regional.
The Ethical AI Startup Ecosystem 04: Targeted AI Solutions and Technologies
✍️ Original article by Abhinav Raghunathan, the creator of EAIDB who publishes content related to ethical ML / AI from both theoretical and practical perspectives. This article is a part of our Ethical AI … [Read more...] about The Ethical AI Startup Ecosystem 04: Targeted AI Solutions and Technologies
Towards Intersectionality in Machine Learning: Including More Identities, Handling Underrepresentation, and Performing Evaluation
🔬 Research Summary by Angelina Wang, a PhD student in computer science at Princeton University studying issues of machine learning fairness and algorithmic bias. [Original paper by Angelina Wang, Vikram V. … [Read more...] about Towards Intersectionality in Machine Learning: Including More Identities, Handling Underrepresentation, and Performing Evaluation
Assessing the Fairness of AI Systems: AI Practitioners’ Processes, Challenges, and Needs for Support
🔬 Research Summary by Michael A. Madaio, a postdoctoral researcher at Microsoft Research, where his research is at the intersection of HCI and FATE (Fairness, Accountability, Transparency, and Ethics) in AI. … [Read more...] about Assessing the Fairness of AI Systems: AI Practitioners’ Processes, Challenges, and Needs for Support