CHAIfest (CHAI community registration)

Welcome to the CHAIfest internal registration. This track is reserved for CHAI researchers, staff, and our close partners. We are excited to bring our community together to share updates, network, and celebrate our collective progress.

Please note that for this batch we are only releasing 50 tickets initially. If these happen to sell out, please email [email protected] to be added to a waiting list to register for the General Admission round.

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.

Know what’s Happening Next — before everyone else does.

Get App

Host or Publisher School of Engineering