Summary contributed by Martin Pawelczyk, a PhD student at the University of TĂĽbingen working on interpretability of machine learning models with a particular focus on algorithmic recourse. [Original paper by … [Read more...] about Let Users Decide: Navigating the Trade-offs between Costs and Robustness in Algorithmic Recourse
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The Larger The Fairer? Small Neural Networks Can Achieve Fairness for Edge Devices
Summary contributed by Yi Sheng, a Ph.D. student at George Mason University, advised by Weiwen Jiang, and interested in software and hardware co-design, AutoML, and dermatology diagnosis. [Original paper by Yi … [Read more...] about The Larger The Fairer? Small Neural Networks Can Achieve Fairness for Edge Devices
Visions of Artificial Intelligence and Robots in Science Fiction: a computational analysis
🔬 Research summary by Connor Wright, our Partnerships Manager. [Original paper by Hirotaka Osawa, Dohjin Miyamoto, Satoshi Hase, Reina Saijo, Kentaro Fukuchi, Yoichiro Miyake] Overview: How is AI portrayed … [Read more...] about Visions of Artificial Intelligence and Robots in Science Fiction: a computational analysis
Responsible sourcing and the professionalization of data work
✍️ Column by Natalie Klym, who has been leading digital technology innovation programs in academic and private institutions for 25 years including at MIT, the Vector Institute, and University of Toronto. Her insights … [Read more...] about Responsible sourcing and the professionalization of data work
Broadening AI Ethics Narratives: An Indic Art View
Summary contributed by Ajay Divakaran, a senior technical director, Center for Vision Technologies, SRI International. [Original paper by Ajay Divakaran, Aparna Sridhar, Ramya Srinivasan] Overview: The paper … [Read more...] about Broadening AI Ethics Narratives: An Indic Art View