AI is transforming healthcare, but it comes with big questions. Aaron Lai’s recent article in OR/MS Today highlights a critical issue: biased data leads to biased outcomes. Even the most advanced algorithms can fail if the data behind them is flawed or incomplete.
Discussion Questions:
- Have you encountered bias in health analytics or AI tools in your work?
- How can we ensure health data is representative and as unbiased as possible?
- Should AI regulation prioritize innovation, patient safety, or both?
Read the full article here: Health Data and AI: Biased Data, Biased Outcome | ORMS Today
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Garrett Johnston
Membership Engagement Coordinator
gjohnston@informs.org------------------------------