Research course

Accountable, Responsible and Transparent Artificial Intelligence

Institution
University of Bath · Department of Computer Science
Qualifications
Integrated PhD

Entry requirements

First degree (UK 1st or 2:1 or international equivalent) in computer science, engineering, social sciences, policy research, psychology, or a related subject.

Months of entry

September

Course content

At least 10 fully-funded PhD places available for September 2020 start.

Our integrated PhD in Accountable, Responsible and Transparent Artificial Intelligence (ART-AI) will train to be a "specialist with perspectives”. You'll not only gain AI skills, but a broader understanding of the engineering applications of AI and the ethical, policy and socio-economic consequences of intelligent technologies. You'll combine deep training in a specialism which builds on your background, capabilities and aims, with integrated training across the breadth of disciplines.

Key themes include: transparency and intelligibility of AI, risk and decision making with AI, safety and trust in human-machine systems, policy-making with and for AI, innovation in data-driven and classical AI and engineering applications of AI.

Students on this programme are based in the UKRI Centre for Doctoral Training in Accountable, Responsible and Transparent AI (ART-AI) at Bath.

You may also be interested in our PhD in Computer Science.

Department specialisms

We research systems-wide issues in computer science ranging from mathematical foundations through visual and cognitive processes to artificial intelligence, human-centred design and collaborative systems. Our four research groups include: artificial intelligence, human computer interaction, mathematical foundations of computation and visual computing.

Fees and funding

At least 10 fully-funded PhD places available for September 2020 start.

Qualification, course duration and attendance options

  • Integrated PhD
    full time
    48 months
    • Campus-based learningis available for this qualification

Course contact details

Name
ART-AI CDT enquiries
Email
art-ai-applications@bath.ac.uk