🔬 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
Public Policy
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
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
Best humans still outperform artificial intelligence in a creative divergent thinking task
🔬 Research Summary by Simone Grassini, an Associate Professor in Psychology at the University of Bergen, Norway. Some of his research has been recently focused on understanding the interaction between humans and … [Read more...] about Best humans still outperform artificial intelligence in a creative divergent thinking task
AI and Great Power Competition: Implications for National Security
🔬 Research Summary by Arun Teja Polcumpally, a Technology Policy Analyst at Wadhwani Institute of Technology Policy (WITP), New Delhi, India). [Original paper by Eric Schmidt] Overview: This research … [Read more...] about AI and Great Power Competition: Implications for National Security