7 citations · 14 across the 5 of their papers we have counts for
5 papers
Causal Explanations from the Geometric Properties of ReLU Neural Networks
Hector Woods, Philippa Ryan, Rob Alexander
Neural networks have proved an effective means of learning control policies for autonomous systems, but these learned policies are difficult to understand due to the black-box natu…
The BIG Argument for AI Safety Cases
Ibrahim Habli, Richard Hawkins, Colin Paterson +4
We present our Balanced, Integrated and Grounded (BIG) argument for assuring the safety of AI systems. The BIG argument adopts a whole-system approach to constructing a safety case…
Fair by design: A sociotechnical approach to justifying the fairness of AI-enabled systems across the lifecycle
Marten H. L. Kaas, Christopher Burr, Zoe Porter +6
Fairness is one of the most commonly identified ethical principles in existing AI guidelines, and the development of fair AI-enabled systems is required by new and emerging AI regu…
What's my role? Modelling responsibility for AI-based safety-critical systems
Philippa Ryan, Zoe Porter, Joanna Al-Qaddoumi +2
AI-Based Safety-Critical Systems (AI-SCS) are being increasingly deployed in the real world. These can pose a risk of harm to people and the environment. Reducing that risk is an o…
Unravelling Responsibility for AI
Zoe Porter, Philippa Ryan, Phillip Morgan +5
It is widely acknowledged that we need to establish where responsibility lies for the outputs and impacts of AI-enabled systems. This is important to achieve justice and compensati…