🔬 Research Summary by Thomas Krendl Gilbert, a Postdoctoral Fellow at Cornell Tech’s Digital Life Initiative, and has a Ph.D. in Machine Ethics and
Responsible and Regulatory Conform Machine Learning for Medicine: A Survey of Challenges and Solutions
🔬 Research Summary by Eike Petersen, a Postdoc in the Department of Applied Mathematics and Computer Science in Visual Computing. [Original
Now I’m Seen: An AI Ethics Discussion Across the Globe
🔬 Event summary by Connor Wright, our Partnerships Manager. Overview: A summary of our panel discussion “Now I’m Seen: An AI Ethics
Ethics of AI in Education: Towards a Community-wide Framework
🔬 Research Summary by Wayne Holmes, a learning sciences and innovation researcher who teaches at University College London, is a consultant researcher
Performative Power
🔬 Research Summary by Meena Jagadeesan and Celestine Mendler-Dünner. Meena Jagadeesan is a PhD student in Computer Science at UC Berkeley. Her
FaiRIR: Mitigating Exposure Bias from Related Item Recommendations in Two-Sided Platforms
🔬 Research Summary by Abhisek Dash, a PhD student (TCS Research Fellow) at the Department of Computer Science and Engineering, Indian Institute of
Breaking Fair Binary Classification with Optimal Flipping Attacks
🔬 Research Summary by Changhun Jo, Jy-yong Sohn, Kangwook Lee. Changhun Jo is a PhD candidate at University of Wisconsin-Madison, working on
A Virtue-Based Framework to Support Putting AI Ethics into Practice
🔬 Research Summary by Thilo Hagendorff, an AI ethicist at the University of Tuebingen (Germany). [Original paper by Thilo
Who Audits the Auditors? Recommendations from a field scan of the algorithmic auditing ecosystem
🔬 Research summary by Connor Wright, our Partnerships Manager. [Original paper by Sasha Costanza-Chock, Inioluwa Deborah Raji, Joy
Principios éticos para una inteligencia artificial antropocéntrica: consensos actuales desde una perspectiva global y regional.
✍️ Column by Mariana Sánchez Caparrós, an investigator in the area of AI, gender and non discrimination at the Innovation and Artificial Intelligence
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
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