🔬 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
Research Summaries
“It doesn’t tell me anything about how my data is used”: User Perceptions of Data Collection Purposes
🔬 Research Summary by Lin Kyi, a Computer Science Ph.D. student at the Max Planck Institute for Security and Privacy focusing on online consent and the ethical collection of data. [Original paper by Abraham … [Read more...] about “It doesn’t tell me anything about how my data is used”: User Perceptions of Data Collection Purposes
A collection of principles for guiding and evaluating large language models
🔬 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
🔬 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
Strategic Behavior of Large Language Models: Game Structure vs. Contextual Framing
🔬 Research Summary by Babak Heydari and Nunzio Lore. Babak Heydari is an Associate Professor at Northeastern University and the director of the Multi-AGent Intelligent Complex Systems (MAGICS) Lab. Nunzio … [Read more...] about Strategic Behavior of Large Language Models: Game Structure vs. Contextual Framing