Epistemic AI Workshop

Epistemic AI Workshop

Overview

Thematic workshop about Uncertainty Quantification in Artificial Intelligence

Join us for a Thematic Workshop on Uncertainty Quantification in Artificial Intelligence for insightful presentations and networking on the topic of reliable and responsible AI.


About event

To mark the conclusion of the EU Horizon 2020 project Epistemic AI (E-pi), Oxford Brookes University is hosting a one-day Thematic Workshop on Uncertainty Quantification in Artificial Intelligence. The workshop will bring together selected representatives from academia, industry, and funding agencies to discuss emerging methods, share insights from the project, and explore what comes next for uncertainty-aware AI.


About Epistemic AI

Epistemic AI re-imagines AI with a proper treatment of uncertainty stemming from our inevitably partial knowledge of the world. The project’s overarching aim is to develop a new paradigm for next-generation AI that can provide worst-case guarantees on predictions, moving beyond conventional probabilistic approaches. This includes new mathematical foundations for optimisation under epistemic uncertainty, and new learning paradigms across supervised learning, unsupervised learning, and reinforcement learning.


What to expect

Across the day, we will combine research highlights with forward-looking discussion:

  • Presentations of key project results from Epistemic AI
  • Panel discussions on the future of uncertainty quantification in AI, including implications for industry and society
  • A poster session where participants can showcase their work (students, academic teams, and industry representatives all welcome)
  • Time for conversation and networking with peers working on reliable and responsible AI


Agenda of the day

Morning

8:30 - Start of registration / Posters
9:00 - Coffee & Tea
9:30 - Induction & Welcome
10:00 - Overview of project and its results, including exploitation
10:30 - Spotlight presentations from E-PI team
11:30 - Feedback session
12:00 - Lunch & Poster sessions

Afternoon

13:00 - Presentations from invited speakers
14:00 - Coffee & Tea
14:15 - Panel Discussion: Implications of the Findings for Research, Industry, Regulation, and the Public
15:15 - Networking & Poster sessions
16:00 - Final discussion on the future, sustainability and impact


Registration is required (places are limited). We look forward to welcoming you to Oxford for an engaging day of research, discussion, and community-building around uncertainty-aware AI.


Who should attend

This workshop is designed for people interested in making AI systems safer, stronger, and more dependable, including:

  • Students and researchers in AI/ML, statistics, optimisation, verification, and responsible AI
  • Industry practitioners deploying AI in complex or safety-critical settings
  • Representatives of funding bodies and organisations shaping future research directions


Location: NHHB.2.01, New Headington Hill Building, Headington Hill Campus

Parking:

Unfortunately there are no parking spaces available but there are multiple bus services available for anyone travelling to Brookes. More information: https://www.brookes.ac.uk/travel/bus-and-coach

Notice:

Please note that photographs and video recordings may be taken during the event. If you do not wish to be photographed or recorded, please inform a member of the event team on the day.


Thematic workshop about Uncertainty Quantification in Artificial Intelligence

Join us for a Thematic Workshop on Uncertainty Quantification in Artificial Intelligence for insightful presentations and networking on the topic of reliable and responsible AI.


About event

To mark the conclusion of the EU Horizon 2020 project Epistemic AI (E-pi), Oxford Brookes University is hosting a one-day Thematic Workshop on Uncertainty Quantification in Artificial Intelligence. The workshop will bring together selected representatives from academia, industry, and funding agencies to discuss emerging methods, share insights from the project, and explore what comes next for uncertainty-aware AI.


About Epistemic AI

Epistemic AI re-imagines AI with a proper treatment of uncertainty stemming from our inevitably partial knowledge of the world. The project’s overarching aim is to develop a new paradigm for next-generation AI that can provide worst-case guarantees on predictions, moving beyond conventional probabilistic approaches. This includes new mathematical foundations for optimisation under epistemic uncertainty, and new learning paradigms across supervised learning, unsupervised learning, and reinforcement learning.


What to expect

Across the day, we will combine research highlights with forward-looking discussion:

  • Presentations of key project results from Epistemic AI
  • Panel discussions on the future of uncertainty quantification in AI, including implications for industry and society
  • A poster session where participants can showcase their work (students, academic teams, and industry representatives all welcome)
  • Time for conversation and networking with peers working on reliable and responsible AI


Agenda of the day

Morning

8:30 - Start of registration / Posters
9:00 - Coffee & Tea
9:30 - Induction & Welcome
10:00 - Overview of project and its results, including exploitation
10:30 - Spotlight presentations from E-PI team
11:30 - Feedback session
12:00 - Lunch & Poster sessions

Afternoon

13:00 - Presentations from invited speakers
14:00 - Coffee & Tea
14:15 - Panel Discussion: Implications of the Findings for Research, Industry, Regulation, and the Public
15:15 - Networking & Poster sessions
16:00 - Final discussion on the future, sustainability and impact


Registration is required (places are limited). We look forward to welcoming you to Oxford for an engaging day of research, discussion, and community-building around uncertainty-aware AI.


Who should attend

This workshop is designed for people interested in making AI systems safer, stronger, and more dependable, including:

  • Students and researchers in AI/ML, statistics, optimisation, verification, and responsible AI
  • Industry practitioners deploying AI in complex or safety-critical settings
  • Representatives of funding bodies and organisations shaping future research directions


Location: NHHB.2.01, New Headington Hill Building, Headington Hill Campus

Parking:

Unfortunately there are no parking spaces available but there are multiple bus services available for anyone travelling to Brookes. More information: https://www.brookes.ac.uk/travel/bus-and-coach

Notice:

Please note that photographs and video recordings may be taken during the event. If you do not wish to be photographed or recorded, please inform a member of the event team on the day.


Good to know

Highlights

  • 8 hours
  • In person

Location

Oxford Brookes University - Headington Hill Campus

Campus, Headington, Oxford OX3 0BP

Headington OX3 0BP

How do you want to get there?

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