馃敩 Research Summary by Zhaobo Zheng, a scientist at Honda Research Institute USA, Inc. [Original paper by Minxue Niu, Zhaobo Zheng, Kumar Akash, and Teruhisa Misu] Overview: The trust in autonomous driving is … [Read more...] about Beyond Empirical Windowing: An Attention-Based Approach for Trust Prediction in Autonomous Vehicles
Application & Adoption
A collection of principles for guiding and evaluating large language models
馃敩 Research Summary by Matthias Samwald, an associate professor at the Medical University of Vienna and works on making powerful AI systems driving biomedical progress more trustworthy. [Original paper by … [Read more...] about A collection of principles for guiding and evaluating large language models
A technical study on the feasibility of using proxy methods for algorithmic bias monitoring in a privacy-preserving way
馃敩 Research Summary by Beckett LeClair, a Senior Engineer at Frazer-Nash Consultancy and vocal proponent for ethical AI futures. [Original paper by Beckett LeClair, William Parker, and Amanda … [Read more...] about A technical study on the feasibility of using proxy methods for algorithmic bias monitoring in a privacy-preserving way
The Two Faces of AI in Green Mobile Computing: A Literature Review
馃敩 Research Summary by Wander Siemers, MSc student at Delft University of Technology with an interest in mobile technology and sustainability. [Original paper by Wander Siemers, June Sallou, and Lu铆s … [Read more...] about The Two Faces of AI in Green Mobile Computing: A Literature Review
Bias Amplification Enhances Minority Group Performance
馃敩 Research Summary by Gaotang Li and Jiarui Liu. Gaotang Li is a senior undergraduate student studying Computer Science and Mathematics at the University of Michigan. Jiarui Liu is a first-year Master's … [Read more...] about Bias Amplification Enhances Minority Group Performance