Past events

Trustworthy AI in Imaging

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Trustworthy and Responsible AI conference was held in Cambridge on 26 June, 2023. Co-organised by <a href="http://www.eng.cam.ac.uk/profiles/ps898">Dr Pingfan Song</a> and <a href="https://www.c2d3.cam.ac.uk">the Cambridge Centre for Data-Driven Discovery</a> (C2D3) in collaboration with <a href="https://www.kcesp.ac.uk">Kavli Centre for Ethics, Science and the Public</a>, the event was co-supported by CHIA, AI@Cam, Bitfount, and Cambridge Global Consulting Ltd.
The growing need for trustworthy and responsible AI is now increasingly recognised by academics, industry, policy makers and the public. The conference brought together speakers and delegates from diverse communities to share perspectives and the latest knowledge in this important area. The event featured panel discussions and several keynote speeches:
Prof. Zoe Kourtzi, University of Cambridge &#8211; Robust and interpretable AI-guided tools for early dementia prediction
Dr David Krueger, University of Cambridge &#8211; Baby Steps Towards Safe and Trustworthy AI in Large Scale Deep Learning
Dr Richard Milne, Kavli Centre for Ethics, Science and the Public, University of Cambridge &#8211; AI, trust and the public
Prof. Alessandro Abate, University of Oxford &#8211; Certified learning, or learning for verification?
Dr Lucas Dixon, PAIR, Google &#8211; Large Language Models, Prototypes &amp; Responsibility
Prof. Miguel Rodrigues, University College London &#8211; Fair Federated Learning
Dr Blaise Thomson, Bitfount &#8211; How the real world impacts the use of trustworthy &amp; responsible AI
Further details are provided on the <a href="https://www.c2d3.cam.ac.uk/events/trustworthy-and-responsible-ai">conference website</a>.

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The first CHIA spring seminar series on AI for social and global good was organised by the University&#8217;s early career researchers. Seminar topics ranged from the deployment of AI for suicide prevention (Dr Yaakov Ophir) to the development of technology for criminal justice (Dr Miri Zilka) and planetary-level climate action (Dr Ramit Debnath). The seminars sparked lively discussion about the opportunities and challenges of AI when applied to complex, real-life scenarios.

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Generative AI technologies provoke questions and challenges for the visual arts, such as the legality and ownership of data; the displacement of human work; and the perpetuation of harmful cultural trends and tropes. Yet, tech developments have also re-shaped and stimulated creative practices, human-machine collaborations, cultural literacies, and aesthetics. How do we critically assess what this current wave of AI development implies for the arts, industry, and creative technical practice? What transformations are underway in visual culture, commercial practices, and arts scholarship? What collective solidarities do we need in this moment?
CHIA held Making Visual Art/Work in the AI Era event to discuss these themes with artists, designers, scholars and developers of AI. The event was organised in collaboration with Cambridge Digital Humanities and the Leverhulm Centre of the Future of Intelligence. It featured presentations and talks by Cengiz Oztireli (University of Cambridge), Natalie Kane (Victoria and Albert Museum), Maria Yablonina (University of Toronto), Campbell Butler and Robyn Butler (Lovework Studio), among others.

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Launch of the Centre for Human Inspired Artificial Intelligence

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This exciting event, co-hosted with AstraZeneca, brings together leading experts from academia and industry to share their insights on recent advancements and challenges in the field of trustworthy AI in medical imaging.
It will take place on 7 September, 2023 in McGrath Centre (St Catherine&#8217;s College), Cambridge, UK. This is an opportunity to connect with experts, exchange ideas, and gain knowledge into the future of medical imaging.
To sing up for the event, please <a href="https://www.eventbrite.co.uk/e/chia-x-astrazeneca-trustworthy-ai-in-imaging-a-medical-challenge-tickets-698628274977">CLICK HERE</a>.
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Agenda
8.30 &#8211; 9.00: Welcome Coffee
Current trends in medical computer vision and xAI
9.05 &#8211; 9.30 Categorical Foundation of Explainable AI &#8211; Pietro Barbiero, University of Cambridge
9.30 &#8211; 10.00 Patient-Specific Cardiac Data Integration and Analysis for In Silico Trials &#8211; Dr. Abhirup Banerjee, University of Oxford
10.00 &#8211; 10.25 Coffee Break
Interpretable medical imaging: State of the art applications
10.25 &#8211; 11.10 Trustworthy AI and Medical Imaging Applications &#8211; Dr. Michail Mamalakis, University of Cambridge
11.10 &#8211; 11.40 Harnessing the Power of AI and Computer Vision for Patient Stratification and Disease Severity Quantification &#8211; Dr. Nikolay Burlutskiy, Director of AI, AstraZeneca
11.40 &#8211; 12.00 Coffee Break
Highlight of challenges in industry and clinic
12.00 &#8211; 12.30 Trustworthiness in Clinic Applications &#8211; Dr. Tim Rittman, University of Cambridge
12.30 &#8211; 13.00 Trust is Born of Communication &#8211; Phil Teare, Head of Machine Perception, AstraZeneca
13.00-13.50 Panel Discussion &#8211; Dr. Michail Mamalakis, University of Cambridge, Dr. John Suckling, University of Cambridge, Lars Lynne Hansen, AI Team Lead, AstraZeneca
13.50-14.30 Lunch
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Trustworthy AI in Imaging

Past events

Trustworthy and Responsible AI Conference

CHIA spring seminar series

Making visual art/work in the AI era

CHIA launch event