23 citations · 30 across the 7 of their papers we have counts for
4 papers · 1 filter
LLM Novice Uplift on Dual-Use, In Silico Biology Tasks
Chen Bo Calvin Zhang, Christina Q. Knight, Nicholas Kruus +16
Large language models (LLMs) perform increasingly well on biology benchmarks, but it remains unclear whether they uplift novice users -- i.e., enable humans to perform better than…
Governing Automated Strategic Intelligence
Nicholas Kruus, Madhavendra Thakur, Adam Khoja +24
Military and economic strategic competitiveness between nation-states will increasingly be defined by the capability and cost of their frontier artificial intelligence models. Amon…
Towards Data Governance of Frontier AI Models
Jason Hausenloy, Duncan McClements, Madhavendra Thakur
Data is essential to train and fine-tune today's frontier artificial intelligence (AI) models and to develop future ones. To date, academic, legal, and regulatory work has primaril…
Multinational AGI Consortium (MAGIC): A Proposal for International Coordination on AI
Jason Hausenloy, Andrea Miotti, Claire Dennis
This paper proposes a Multinational Artificial General Intelligence Consortium (MAGIC) to mitigate existential risks from advanced artificial intelligence (AI). MAGIC would be the…