🔬 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
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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
The Two Faces of AI in Green Mobile Computing: A Literature Review
🔬 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 Luís … [Read more...] about The Two Faces of AI in Green Mobile Computing: A Literature Review
Bias Amplification Enhances Minority Group Performance
🔬 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