Day 1: Dec 5, 2023
4:30 pm
CASE STUDY: AI
Track 2 – TECHNICAL (Exclusive In Person)
Executing AI Effectively: Bias, Equity, and the Human Lens of Data
As AI becomes embedded in healthcare systems, concerns around equity, bias, and representation grow louder — and more urgent. Deploy AI in a way that respects Indigenous Data Sovereignty, identifies and mitigates systemic bias, and centres health equity from the start. Take back to your office strategies to:
- Recognize and address embedded bias in datasets and models.
- Design AI solutions with, not just for, the communities they impact.
- Embed equity and cultural context into data strategy and technical execution.
- Reframe governance to include principles of Ownership, Control, Access, and Possession (OCAP).
Advance AI implementation as not only a technical initiative, but a human-centred and culturally grounded transformation.
Day 2: Dec 6, 2023
