Trustworthy Assurance of Digital Health and Healthcare Workshop¶
The University of York, together with the Alan Turing Institute and the Centre for Data Ethics and Innovation (CDEI) are organising a workshop as part of the Trustworthy and Ethical Assurance for Digital Healthcare project. The purpose of this workshop is to discuss fairness issues across the lifecycle of data-driven systems, particularly the obstacles/challenges to achieving fairness in AI-enabled systems used in healthcare. We are pleased to invite you to this workshop, which will consider how data-driven technologies could advance or hold back health equity, what fairness goals we should expect from AI used in healthcare settings, and where discriminatory bias may arise in the AI lifecycle. Participation at this workshop will include sharing your expertise with other researchers and academics interested in fairness, health equity, and data-driven digital healthcare. No specific preparation is required to attend.
Workshop Details¶
Format: Hybrid Date: 30th November Time: 10:30-14:30 Venue: The Institute for Safe Autonomy, University of York
Workshop Objectives¶
- To understand the current needs and obstacles identified by academic researchers in respect of achieving health equity from the use of data-driven technologies in healthcare.
- To bring together researchers from multiple disciplines to discuss the question of health equity and AI.
Workshop Agenda¶
| Time | Session |
|---|---|
| 10:30-10:35 | Hello & Welcome |
| 10:35-11:20 | Ethics Assurance, The AI Lifecycle and Fairness |
| 11:20-12:05 | A Case Study Deploying a clinical diagnostic support system |
| 12:05-12:35 | Lunch |
| 12:35-13:10 | Session One: Design |
| 13:10-13:45 | Session Two: Development |
| 13:45-13:55 | Coffee Break |
| 13:55-14:30 | Session Three: Deployment |