Here’s an improved version of your speech:
Henry Sy Hall
UP College of Medicine
December 2, 2024
I’d like to extend my gratitude to Dr. Leite for visiting us today and sharing his insights on ethical AI. His perspectives remind us how critical it is to ensure that AI in healthcare is both useful and safe.
Someone once said, “Governance is like the brakes of the racecar called innovation.”
If AI is our racecar, and we want to drive it fast and confidently, then we must first ensure that it has a reliable braking system.
When we push racecars to go faster—through better fuels, optimized engines, and advanced aerodynamics—we simultaneously enhance safety with innovations like intelligent brakes, airbags, and helmets.
This is why we set speed limits, enforce seatbelt laws, and require safety features in vehicles. For example, the speed limit is often set at 65 mph because crash tests show that impacts are more survivable at this threshold. Beyond this, safety mechanisms start to fail.
In the same way, health data governance serves as the speed limit for AI.
AI thrives on data. To harness its potential while minimizing harm, we must establish and adhere to sound data governance principles.
These principles must be:
1. Understood
2. Accepted
3. Embedded into the daily practices of everyone in the healthcare ecosystem.
Here at the College of Medicine, we are preparing for a data governance workshop that will help our faculty, students, and community navigate the opportunities and challenges of AI responsibly.
Guided by the principles outlined in healthdataprinciples.org, we aim to:
- Protect people
- Promote health value
- Prioritize equity
These principles are universal—whether you're treating an emergency patient, counseling for a transplant, or integrating AI into your clinical workflows.
Let’s work together to ensure that as we innovate, we also safeguard the health, equity, and safety of everyone we serve.
Thank you.
