🔬 Research Summary by Maggie Delano, an Assistant Professor of Engineering at Swarthmore College whose research focuses on developing medical devices for chronic diseases and inclusive engineering … [Read more...] about Sex Trouble: Sex/Gender Slippage, Sex Confusion, and Sex Obsession in Machine Learning Using Electronic Health Records
Health
Examining the Impact of Provenance-Enabled Media on Trust and Accuracy Perceptions
🔬 Research summary by Kevin Feng, a PhD student in human-computer interaction at the University of Washington, where his research focuses on enabling adaptive sociotechnical systems at scale through novel interfaces and … [Read more...] about Examining the Impact of Provenance-Enabled Media on Trust and Accuracy Perceptions
Tiny, Always-on and Fragile: Bias Propagation through Design Choices in On-device Machine Learning Workflows
🔬 Research summary by Wiebke Hutiri, a PhD candidate at Delft University of Technology, where she studies and develops responsible design practices for trustworthy AI [Original paper by Wiebke (Toussaint) Hutiri, … [Read more...] about Tiny, Always-on and Fragile: Bias Propagation through Design Choices in On-device Machine Learning Workflows
Investing in AI for Social Good: An Analysis of European National Strategies
🔬 Research Summary by Arun Teja Polcumpally, a Non-Resident Fellow, Center of Excellence – AI for Human Security, Doctoral fellow at Jindal School of International Affairs, India. [Original paper by Francesa … [Read more...] about Investing in AI for Social Good: An Analysis of European National Strategies
Rethink reporting of evaluation results in AI
🔬 Research Summary by Ryan Burnell, a Senior Research Associate at the Alan Turing Institute in London working to apply theories and paradigms from cognitive science to improve the evaluation of AI … [Read more...] about Rethink reporting of evaluation results in AI