🔬 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
Privacy & Security
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
A Machine Learning Challenge or a Computer Security Problem?
🔬 Research Summary by Ilia Shumailov, a Ph.D. in Computer Science from the University of Cambridge, specializing in Machine Learning and Computer Security. During the PhD under the supervision of Prof Ross Anderson, Ilia … [Read more...] about A Machine Learning Challenge or a Computer Security Problem?
Science Communications for Explainable Artificial Intelligence
🔬 Research Summary by Simon Hudson , a writer and researcher investigating subjects in AI governance, human-machine collaboration, and Science Communications, and is currently co-leading the core team behind Botto, a … [Read more...] about Science Communications for Explainable Artificial Intelligence