UKRI CDT in Accountable, Responsible and Transparent AI

ART-AI exists to educate interdisciplinary professional experts to make the best, and safest, use of artificial intelligence (AI) and to explore the opportunities, challenges and constraints presented by the diverse range of contexts for AI.

The University of Bath Campus

ART-AI offers a uniquely interdisciplinary doctoral training approach, recruiting students from a range of backgrounds across computer science and artificial intelligence, engineering and technology, and humanities and social sciences.

ART-AI draws together a wide range of topics: from algorithms to ethics; robotics safety to computational and public policy; probabilistic machine learning to symbolic AI; provenance, transparency and uncertainty quantification to intelligibility and trust in heterogeneous intelligent systems; reinforcement learning to emotion in human-machine interaction; and many others.

News

ART-AI Spotlight on Equality, Diversity and Inclusivity series

ART-AI have launched a new ‘ART-AI Spotlight on Equality, Diversity and Inclusivity series’. You can now view the recording of our first talk with Maria Skoularidou.

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Global Challenges Research Fund (GCRF) MX-UK Integrative Think-Tank (ITT) on Environmental Resilience

This Integrative Think Tank (ITT) event was a collaboration between the ART-AI CDT, the SAMBa CDT, social policy science researchers, and two institutions in Mexico (CIMAT and UNAM). The Partners were CENAPRED, SACMEX and the Government of Jalisco. The event was held from the 10th-14th May 2021

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Bath Hack 2021

Last month the Bath Computer Science Society organised a 24-hour virtual Hackathon. ART-AI student, Elsa Zhong, attended the Hackathon and has written about her experience.

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Events

ART-AI Writing Retreat 2021

Our students are looking forward to spending 3 days at a residential Writing Retreat at the Ammerdown Retreat Centre this summer.

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Climate change and health: Societal vulnerabilities and opportunities

This networking workshop presents an opportunity for GW4 researchers to meet and share trans-disciplinary ideas around the priority area of climate and health.

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Design Methodologies Conference

IEEE Power Electronics Society Virtual Event with ART-AI students and academics joining the panel as AI experts

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