CHAIfest (General Admission)

Tue Jun 02 2026 at 09:00 am to 09:30 pm UTC+01:00

Core Technology Facility | Manchester

School of Engineering
Publisher/HostSchool of Engineering
CHAIfest (General Admission)
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We will bring together researchers, clinicians, industry partners & members of the public to explore the role of causal AI in healthcare.
About this Event

CHAIfest (General Admission)

Welcome to the CHAIfest registration.

If these tickets happen to sell out, please email [email protected] to be added to a waiting list.

A draft schedule can be found below:

09:00 - 10:00 - Registration + Networking breakfast
10:00 - 10:15 - Welcome remarks, introduction, housekeeping, etc.
10:15 - 11:15 - Keynote 1
11:15 - 11:30 - Introduction to round table
11:30 - 11:45 - Coffee break
11:45 - 12:30 - Digital Diagnosis Lab round table activity
12:30 - 13:30 - Lunch
13:30 - 14:00 - Reporting activity 1
14:00 - 15:00 - Keynote 2
15:00 - 15:15 - Coffee break
15:15 - 16:00 - The Code of Care Workshop
16:00 - 16:30 - Reporting activity 2
16:30 - 17:30 - Panel discussion
10 min walk to the Museum
18:00 - 21:30 - Drinks reception & Dinner at Manchester Musuem


Keynotes and Gala dinner
Learn from the experts in the field and network at our spectacular gala dinner under a sparkling whale skeleton at the Manchester Museum!
Speaker line-up to be released soon

Digital Diagnosis Lab

An interactive workshop where medicine meets cutting-edge technology. Working in
teams, you’ll dive into realistic patient cases and use AI-powered tools to investigate
symptoms, analyse information, and report back your proposed diagnosis.

Step into the role of a modern clinical team by using AI. Do you have what it takes to
crack the case?

The Code of Care Workshop

Step beyond the tech and into the big ethical questions on AI in healthcare. In this guided session, you’ll explore real-world dilemmas. What happens when the doctor disagrees with AI? Can AI be biased? And who is liable when AI gets it wrong?

Your voice will shape the debate. Challenge assumptions, share concerns, and help define what responsible, trustworthy AI in healthcare should look like.

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Event Venue & Nearby Stays

Core Technology Facility, 46 Grafton Street, Manchester, United Kingdom

Tickets

GBP 0.00

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