9 citations · 17 across the 5 of their papers we have counts for
5 papers
Risks and Controls for Multi-Agent Systems: an analytical framework for deployment of AI agents across organisational boundaries
Alistair Reid, Simon O'Callaghan, Dustin Venini +2
This report presents a framework to help organisations, policymakers and researchers reason about the risks that emerge when AI agents interact with each other, how those risks cha…
Risk Analysis Techniques for Governed LLM-based Multi-Agent Systems
Alistair Reid, Simon O'Callaghan, Liam Carroll +1
Organisations are starting to adopt LLM-based AI agents, with their deployments naturally evolving from single agents towards interconnected, multi-agent networks. Yet a collection…
Fast Fair Regression via Efficient Approximations of Mutual Information
Daniel Steinberg, Alistair Reid, Simon O'Callaghan +3
Most work in algorithmic fairness to date has focused on discrete outcomes, such as deciding whether to grant someone a loan or not. In these classification settings, group fairnes…
Fairness Measures for Regression via Probabilistic Classification
Daniel Steinberg, Alistair Reid, Simon O'Callaghan
Algorithmic fairness involves expressing notions such as equity, or reasonable treatment, as quantifiable measures that a machine learning algorithm can optimise. Most work in the…
Probabilistic Re-aggregation Algorithm [First Draft]
Alistair Reid, Xinyue Wang, Simon O'Callaghan +2
Spatial data about individuals or businesses is often aggregated over polygonal regions to preserve privacy, provide useful insight and support decision making. Given a particular…