🔬 Research Summary by Guru Vamsi Policharla, a computer science PhD student at UC Berkeley. [Original paper by Sanjam Garg, Aarushi Goel, Somesh Jha, Saeed Mahloujifar, Mohammad Mahmoody, Guru-Vamsi … [Read more...] about Experimenting with Zero-Knowledge Proofs of Training
Research Summaries
Unlocking Accuracy and Fairness in Differentially Private Image Classification
🔬 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
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
AI hyped? A horizon scan of discourse on artificial intelligence in education (AIED) and development
🔬 Research Summary by Arun Teja Polcumpally, a Technology Policy Analyst at Wadhwani Institute of Technology Policy (WITP), New Delhi, India). NOTE: "The views in this article are expressed solely by the author … [Read more...] about AI hyped? A horizon scan of discourse on artificial intelligence in education (AIED) and development
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