Webconference Recording

Why so many AI models are biased—and how to stop the problem

About the Webconference

Artificial intelligence (AI) is already transforming the health care industry at a fast pace. But as with any novel and complex technology, there are heightened fears around the possible harms to patient safety and care. Many fear that algorithms will learn, automate, and scale existing human biases and health disparities. These ethical risks are real and warrant deliberate intention, but they are not intractable. In this webinar, we will discuss how health care leaders can proactively mitigate the risk for bias in AI.

Things You’ll Learn:

  • How bias is introduced into data and AI algorithms
  • A framework for vetting AI models for bias
  • How AI can advance health equity

  Not a member? You can still join us for this webconference. Register here