✍️ 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
Application & Adoption
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
Let Users Decide: Navigating the Trade-offs between Costs and Robustness in Algorithmic Recourse
Summary contributed by Martin Pawelczyk, a PhD student at the University of Tübingen 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
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





