154 citations · 223 across the 6 of their papers we have counts for
6 papers
Human Attribution of Causality to AI Across Agency, Misuse, and Misalignment
Maria Victoria Carro, David Lagnado
AI-related incidents are becoming increasingly frequent and severe, ranging from safety failures to misuse by malicious actors. In such complex situations, identifying which elemen…
Explainable AI: Definition and attributes of a good explanation for health AI
Evangelia Kyrimi, Scott McLachlan, Jared M Wohlgemut +4
Proposals of artificial intelligence (AI) solutions based on increasingly complex and accurate predictive models are becoming ubiquitous across many disciplines. As the complexity…
Statistical issues in Serial Killer Nurse cases
Richard D. Gill, Norman Fenton, David Lagnado
We study statistical aspects of the case of the British nurse Ben Geen, convicted of 2 counts of murder and 15 of grievous bodily harm following events at Horton General Hospital (…
BARD: A structured technique for group elicitation of Bayesian networks to support analytic reasoning
Ann E. Nicholson, Kevin B. Korb, Erik P. Nyberg +13
In many complex, real-world situations, problem solving and decision making require effective reasoning about causation and uncertainty. However, human reasoning in these cases is…
Modelling Competing Legal Arguments using Bayesian Model Comparison and Averaging
Martin Neil, Norman Fenton, David Lagnado +1
Bayesian models of legal arguments generally aim to produce a single integrated model, combining each of the legal arguments under consideration. This combined approach implicitly…
Formalizing Neurath's Ship: Approximate Algorithms for Online Causal Learning
Neil R. Bramley, Peter Dayan, Thomas L. Griffiths +1
Higher-level cognition depends on the ability to learn models of the world. We can characterize this at the computational level as a structure-learning problem with the goal of bes…