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Arguing about accountability

   Department of Computing Science

  , Dr Bruno Yun  Applications accepted all year round  Self-Funded PhD Students Only

About the Project

This project will extend the state-of-the-art within argumentation and dialogue theory to develop a formal theory of accountability. Such a theory will allow an AI system to reason about its accountability obligations when choosing how to act, and will allow system designers to guarantee that a complex system will behave appropriately. Transparency and explanation are a key part of accountability, and the project will therefore also investigate how the system can justify its decisions to others. The work falls into the area of Explainable Artificial Intelligence, and may also cover topics such as responsibility, trust and ethics within AI systems, and will build on and formalise ideas and theories from areas such as public administration, economics and psychology.

Selection will be made on the basis of academic merit. The successful candidate should have, or expect to obtain, a UK Honours degree at 2.1 or above (or equivalent) in computer science, mathematics or a related discipline is essential. We would welcome applications from candidates with a strong background in logic.

Formal applications can be completed online:

• Apply for Degree of Doctor of Philosophy in Computing Science

• State name of the lead supervisor as the Name of Proposed Supervisor

• State ‘Self-funded’ as Intended Source of Funding

• State the exact project title on the application form

When applying please ensure all required documents are attached:

• All degree certificates and transcripts (Undergraduate AND Postgraduate MSc-officially translated into English where necessary)

• Detailed CV, Personal Statement/Motivation Letter and Intended source of funding

Informal inquiries can be made to Dr N Oren () with a copy of your curriculum vitae and cover letter. All general enquiries should be directed to the Postgraduate Research School ()

Funding Notes

This PhD project has no funding attached and is therefore available to students (UK/International) who are able to seek their own funding or sponsorship. Supervisors will not be able to respond to requests to source funding. Details of the cost of study can be found by visiting View Website


- Baldoni et al., (2021) Robustness based on Accountability in Multiagent Organizations, Proceedings of the 20th International Conference on Autonomous Agents and Multiagent Systems
- Bovens et al., (2014) The Oxford Handbook of Public Accountability, Oxford University Press
- Cranefield et al., (2019) Accountability for Practical Reasoning Agents, Proceedings of the 6th International Conference on Agreement Technologies

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