馃敩 Research Summary by聽Ashique KhudaBukhsh, an assistant professor at the Rochester Institute of Technology specializing in natural language
The E.U.鈥檚 Artificial Intelligence Act: An Ordoliberal Assessment
馃敩 Research Summary by聽Manuel W枚rsd枚rfer, an Assistant Professor of Management and Computing Ethics at the Maine Business School and School of
Experimenting with Zero-Knowledge Proofs of Training
馃敩 Research Summary by Guru Vamsi Policharla, a computer science PhD student at UC Berkeley. [Original paper by Sanjam Garg, Aarushi Goel,
Unlocking Accuracy and Fairness in Differentially Private Image Classification
馃敩 Research Summary by Judy Hanwen Shen, a Computer Science Ph.D. student at Stanford University broadly working on algorithmic fairness,
Blending Brushstrokes with Bytes: My Artistic Odyssey from Analog to AI
鉁嶏笍 Column by Venus Krier, a freelance illustrator and animator. Overview: In this intricate tapestry of artistry and technology, I chart my
AI Neutrality in the Spotlight: ChatGPT鈥檚 Political Biases Revisited
馃敩 Research Summary by Kazuhiro Takemoto, Professor at Kyushu Institute of Technology. [Original paper by Sasuke Fujimoto and Kazuhiro
AI hyped? A horizon scan of discourse on artificial intelligence in education (AIED) and development
馃敩 Research Summary by Arun Teja Polcumpally, a Technology Policy Analyst at Wadhwani Institute of Technology Policy (WITP), New Delhi,
Setting the Right Expectations: Algorithmic Recourse Over Time
馃敩 Research Summary by Joao Fonseca, Andrew Bell, Carlo Abrate, and Julia Stoyanovich. Joao Fonseca is an invited assistant professor at Nova
Unpacking Human-AI interaction (HAII) in safety-critical industries
馃敩 Research Summary by Tita Alissa Bach, Ph.D., is a Principal Researcher at the Digital Transformation research team at DNV, Norway, focusing on Human
Should you make your decisions on a WhIM? Data-driven decision-making using a What-If Machine for Evaluation of Hypothetical Scenarios
馃敩 Research Summary by Jessica Echterhoff, a Ph.D. candidate in computer science at the University of California in San Diego. Her research focuses on
The Grand Illusion: The Myth of Software Portability and Implications for ML Progress
馃敩 Research Summary by Fraser Mince, an independent machine learning researcher and a Senior Software Engineer at Waymark. [Original paper by
A Machine Learning Challenge or a Computer Security Problem?
馃敩 Research Summary by Ilia Shumailov, a Ph.D. in Computer Science from the University of Cambridge, specializing in Machine Learning and Computer