4 papers
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…
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…
The case for delegated AI autonomy for Human AI teaming in healthcare
Yan Jia, Harriet Evans, Zoe Porter +5
In this paper we propose an advanced approach to integrating artificial intelligence (AI) into healthcare: autonomous decision support. This approach allows the AI algorithm to act…
Upstream and Downstream AI Safety: Both on the Same River?
John McDermid, Yan Jia, Ibrahim Habli
Traditional safety engineering assesses systems in their context of use, e.g. the operational design domain (road layout, speed limits, weather, etc.) for self-driving vehicles (in…