The Dr. Data Show with Eric Siegel

This podcast aims to guide the audience in making machine learning not only effective but also valuable, recognizing and rectifying common machine learning oversights, gaining a concrete understanding of ethical challenges and distinguishing genuine artificial intelligence from mere hype.

This podcast caters to both data scientists and business leaders across all sectors, including executives, directors, managers, and consultants, who are either directly involved in or impacted by the deployment of machine learning technologies.

Misleading headlines abound, claiming that machine learning can "accurately" predict criminality, psychosis, sexual orientation, and bestselling books. But, when practitioners claim their model achieves "high accuracy," it's often bogus. Can AI "tell" if you're going to have a heart attack? Contrary to bold, public claims, no it cannot. This episode unpacks the undeniable yet common "accuracy fallacy," which misleads the public into believing that machine learning can distinguish between positive and negative cases and usually be right about it.