🔬 Research Summary by Lin Guan, a Ph.D. student at the School of Computing and Augmented Intelligence at Arizona State University, working at the Yochan Lab (AI Lab) under the supervision of Dr. Subbarao … [Read more...] about Relative Behavioral Attributes: Filling the Gap between Symbolic Goal Specification and Reward Learning from Human Preferences
Research Summaries
Human-AI Collaboration in Decision-Making: Beyond Learning to Defer
🔬 Research Summary by Diogo Leitão, a Machine Learning Researcher at Feedzai. [Original paper by Diogo Leitão, Pedro Saleiro, Mário A. T. Figueiredo, Pedro Bizarro] Overview: Human-AI collaboration (HAIC) in … [Read more...] about Human-AI Collaboration in Decision-Making: Beyond Learning to Defer
Towards Algorithmic Fairness in Space-Time: Filling in Black Holes and Detecting Bias in the Presence of Spatial Autocorrelation
🔬 Research Summary by Subho Majumdar, the founder of AI Vulnerability Database, co-founder of Bias Buccaneers and Trustworthy ML Initiative. [Towards Algorithmic Fairness in Space-Time: Filling in Black Holes by … [Read more...] about Towards Algorithmic Fairness in Space-Time: Filling in Black Holes and Detecting Bias in the Presence of Spatial Autocorrelation
Modeling Content Creator Incentives on Algorithm-Curated Platforms
🔬 Research Summary by Jiri Hron, a PhD student at the University of Cambridge and worked as a student researcher at Google Brain for most of his PhD. [Original paper by Jiri Hron, Karl Krauth, Michael I. Jordan, … [Read more...] about Modeling Content Creator Incentives on Algorithm-Curated Platforms
The Impact of Artificial Intelligence on Military Defence and Security
🔬 Research Summary by Grace Wright, Business Development Manager at a technology start-up and has worked in research roles focused on responsible and ethical development and use of AI and other emerging … [Read more...] about The Impact of Artificial Intelligence on Military Defence and Security