🔬 Research Summary by Judy Hanwen Shen, a Computer Science Ph.D. student at Stanford University broadly working on algorithmic fairness, differential privacy, and explainability through the lens of data … [Read more...] about Unlocking Accuracy and Fairness in Differentially Private Image Classification
Core Principles of Responsible AI
AI Neutrality in the Spotlight: ChatGPT’s Political Biases Revisited
🔬 Research Summary by Kazuhiro Takemoto, Professor at Kyushu Institute of Technology. [Original paper by Sasuke Fujimoto and Kazuhiro Takemoto] Overview: ChatGPT, OpenAI’s renowned conversational AI, has not … [Read more...] about AI Neutrality in the Spotlight: ChatGPT’s Political Biases Revisited
Setting the Right Expectations: Algorithmic Recourse Over Time
🔬 Research Summary by Joao Fonseca, Andrew Bell, Carlo Abrate, and Julia Stoyanovich. Joao Fonseca is an invited assistant professor at Nova Information Management School in Lisbon, Portugal, and researches … [Read more...] about Setting the Right Expectations: Algorithmic Recourse Over Time
Unpacking Human-AI interaction (HAII) in safety-critical industries
🔬 Research Summary by Tita Alissa Bach, Ph.D., is a Principal Researcher at the Digital Transformation research team at DNV, Norway, focusing on Human Factors in AI in safety-critical industries [Original paper … [Read more...] about Unpacking Human-AI interaction (HAII) in safety-critical industries
The Grand Illusion: The Myth of Software Portability and Implications for ML Progress
🔬 Research Summary by Fraser Mince, an independent machine learning researcher and a Senior Software Engineer at Waymark. [Original paper by Fraser Mince, Dzung Dinh, Jonas Kgomo, Neil Thompson, and Sara … [Read more...] about The Grand Illusion: The Myth of Software Portability and Implications for ML Progress