Responsible artificial intelligence

Responsible Artificial Intelligence is dedicated to the ethical design, development, and deployment of Artificial Intelligence (AI) systems. As AI is increasingly being used in diverse areas, including education, healthcare, finance, and more, the importance of ensuring that AI systems operate fairly, transparently, and safely becomes paramount.

This research addresses the potential risks associated with AI, such as bias, misinformation, as well as copyright and privacy violations, by advocating for principles like accountability, inclusivity, and human oversight. Within this area, we have a range of projects aiming to establish frameworks and best practices that align AI with societal values and balance innovation with ethical considerations.

Entry requirements

Minimum 2:1 undergraduate degree (or equivalent). If you are not a UK citizen, you may need to prove your knowledge of English.

Potential research projects

• Responsible Artificial Intelligence in Education
• Critical Studies of Artificial Intelligence
• Equality, Diversity, and Inclusion (EDI) Learning Analytics (LA)

Current/recent research projects

• Smart Assessment and Guided Education with Responsible AI
• Shifting Power
• OU Analyse

Potential supervisors

• Professor Miriam Fernandez
• Dr Tracie Farrell
• Professor John Domingue
• Dr Alexander Mikroyannidis
• Dr Aisling Third

Fees and funding

Some of our research students are funded via a Doctoral Training Partnership; others are self-funded. 

For detailed information about fees and funding, visit Fees and studentships. 

To see current funded studentship vacancies across all research areas, see Current studentships. 

Links

• Generative Artificial Intelligence at the Open University 
• The Knowledge Media Institute