Publications (14)
Rule-based epidemic models
William Waites, Matteo Cavaliere, David Manheim +2
This paper gives an introduction to rule-based modelling applied to topics in infectious diseases. Rule-based models generalise reaction-based models with reagents that have intern…
Limits of Safe AI Deployment: Differentiating Oversight and Control
David Manheim, Aidan Homewood
Oversight and control, which we collectively call supervision, are often discussed as ways to ensure that AI systems are accountable, reliable, and able to fulfill governance and m…
Compositional modelling of immune response and virus transmission dynamics
William Waites, Matteo Cavaliere, Vincent Danos +7
Transmission models for infectious diseases are typically formulated in terms of dynamics between individuals or groups with processes such as disease progression or recovery for e…
Evaluation Cards: An Interpretive Layer for AI Evaluation Reporting
Avijit Ghosh, Anka Reuel, Jenny Chim +45
AI evaluation results are produced at scale but reported inconsistently across leaderboards, model cards, benchmark papers, and company blogs. The cost is interpretive: readers can…
Molecular and Serologic Diagnostic Technologies for SARS-CoV-2
Halie M. Rando, Christian Brueffer, Ronan Lordan +10
The COVID-19 pandemic has presented many challenges that have spurred biotechnological research to address specific problems. Diagnostics is one area where biotechnology has been c…
Forecasting AI Progress: A Research Agenda
Ross Gruetzemacher, Florian Dorner, Niko Bernaola-Alvarez +2
Forecasting AI progress is essential to reducing uncertainty in order to appropriately plan for research efforts on AI safety and AI governance. While this is generally considered…