39 citations · 57 across the 5 of their papers we have counts for
5 papers
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…
Ethics in conversation: Building an ethics assurance case for autonomous AI-enabled voice agents in healthcare
Marten H. L. Kaas, Zoe Porter, Ernest Lim +3
The deployment and use of AI systems should be both safe and broadly ethically acceptable. The principles-based ethics assurance argument pattern is one proposal in the AI ethics l…
A Principles-based Ethics Assurance Argument Pattern for AI and Autonomous Systems
Zoe Porter, Ibrahim Habli, John McDermid +1
An assurance case is a structured argument, typically produced by safety engineers, to communicate confidence that a critical or complex system, such as an aircraft, will be accept…