University of Bath announces AI doctoral training centre
The Centre for Doctoral Training in Accountable, Responsible and Transparent Artificial Intelligence (ART-AI) is one of 16 centres announced across the UK
The University of Bath has announced the launch of a doctoral training centre for accountable, responsible and transparent artificial intelligence (ART-AI).
The centre is part of a £100m investment from UK Research and Innovation (UKRI), and will recruit and train at least 60 postgraduate students from engineering, social science and policy backgrounds in the ethical use of AI. The aim is to help ensure that developments in AI, and decisions on how and when to use it or not, are informed and ethical.
ART-AI will provide a national and global lead on AI ethics and its influence on AI innovations, applications and implications
– Prof Eamonn O’Neill, University of Bath
Prof Eamonn O’Neill, head of the department of computer science at the University of Bath and director of the ART-AI Centre for Doctoral Training (CDT) said: “The UK is at the forefront of the AI and data revolution, and explicit consideration of ethics is essential as AI increases the ability of machines to inform, augment and even replace human decision-making. ART-AI will provide a national and global lead on AI ethics and its influence on AI innovations, applications and implications.”
ART-AI is being launched in partnership with digital solutions company Civica, and will co-create projects with partners that have specific interests and challenges in accountable, responsible and transparent AI.
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Civica will also offer 3–12-month project-based internships for students joining the company, which will be based around challenges related to students’ research in AI and machine learning.
The University of Bath leads a consortium of over 30 partners, including Rolls Royce and the Financial Conduct Authority, in running the ART-AI CDT. The first cohort of PhD students will begin their training in October 2019.
Combined, the 16 AI CDTs have received £23m funding from universities, £78m from partners, and will train 1,000 PhD students.