🔬 Research Summary by Jeff Johnston, an independent researcher working on envisioning positive futures, AI safety and alignment via law, and Piaget-inspired constructivist approaches to artificial general … [Read more...] about A Case for AI Safety via Law
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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
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