Transparency and Intelligibility
Making AI systems accessible, accountable, open to inspection and intelligible to diverse stakeholders
We bring together researchers from across the University to train the next generation of specialists with expertise in AI, its applications and its implications.
The UKRI Centre for Doctoral Training in Accountable, Responsible and Transparent AI (ART-AI) will recruit and train at least 60 PhD students from diverse backgrounds, including existing experts in AI, but also from engineering, social science and policy backgrounds to help ensure that developments in AI, and decisions on how and when to use it or not, are informed and ethical.
Read MoreMaking AI systems accessible, accountable, open to inspection and intelligible to diverse stakeholders
How to assess its risks and benefits, quantitatively and qualitatively.
How to approach diverse challenges from robotics safety to computational and public policy.
The effects of AI in public policy design as it becomes endemic in a broad range of work environments.
What innovations are needed to provide policy-driven, explainable and auditable support for human work.
How to apply AI techniques to solve real world engineering problems
Partners include Airbus, BMT, Centre for Modelling and Simulation, Church of England, Civica, DeepMind, DesAcc, Faculty, Financial Conduct Authority, Google, IBM, Microsoft, Ocado, Office for National Statistics, PwC, Rolls Royce, Seiche Measurements, and Systems Engineering and Assessment.
