🔬 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
Faith and Fate: Limits of Transformers on Compositionality
🔬 Research Summary by Nouha Dziri, a research scientist at Allen Institute for AI working with Yejin Choi and the Mosaic team on understanding the inner workings of language models. [Original paper by Nouha … [Read more...] about Faith and Fate: Limits of Transformers on Compositionality
Intersectional Inquiry, on the Ground and in the Algorithm
🔬 Research Summary by Liam Magee, a digital and urban sociologist. Liam’s current work examines the interface between generative AI and human psychosocial experience. [Original paper by Shanthi Robertson, Liam … [Read more...] about Intersectional Inquiry, on the Ground and in the Algorithm
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