🔬 Research Summary by Hongyan Chang, a sixth-year Ph.D. student at the National University of Singapore, focuses on algorithmic fairness and privacy, particularly their intersection, and is also invested in advancing … [Read more...] about Bias Propagation in Federated Learning
Privacy & Security
GenAI Against Humanity: Nefarious Applications of Generative Artificial Intelligence and Large Language Models
🔬 Research Summary by Emilio Ferrara, a professor at the Thomas Lord Department of Computer Science of the University of Southern California. [Original paper by Emilio Ferrara] Overview: This paper delves … [Read more...] about GenAI Against Humanity: Nefarious Applications of Generative Artificial Intelligence and Large Language Models
Balancing Transparency and Risk: The Security and Privacy Risks of Open-Source Machine Learning Models
🔬 Research Summary by Dominik Hintersdorf & Lukas Struppek. Dominik & Lukas are both Ph.D. students at the Technical University of Darmstadt, researching the security and privacy of deep learning … [Read more...] about Balancing Transparency and Risk: The Security and Privacy Risks of Open-Source Machine Learning Models
Ethics and Governance of Trustworthy Medical Artificial Intelligence
🔬 Research Summary by Sofia Woo, a recent graduate from McGill University who studied History and Political Science, emphasizing scientific history and political economics. [Original paper by Jie Zhang and … [Read more...] about Ethics and Governance of Trustworthy Medical Artificial Intelligence
Towards an Understanding of Developers’ Perceptions of Transparency in Software Development: A Preliminary Study
🔬 Research Summary by Humphrey O. Obie, an Adjunct Research Fellow with the HumaniSE Lab at Monash University; his research is at the intersection of human values and software and AI systems. [Original paper by … [Read more...] about Towards an Understanding of Developers’ Perceptions of Transparency in Software Development: A Preliminary Study