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
Research Summaries
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
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
Designing a Future Worth Wanting: Applying Virtue Ethics to Human–Computer Interaction
Summary contributed by  Tim Gorichanaz, an Assistant Teaching Professor in the College of Computing & Informatics at Drexel University, where he teaches courses in human–computer interaction and design and conducts … [Read more...] about Designing a Future Worth Wanting: Applying Virtue Ethics to Human–Computer Interaction