From Data to Dilemmas: An Ethics Lesson from Healthcare for Educators
Channel: John Nash's Learning Channel
Date: 2024-02-16

Generative AI users, take note of the surprising ease with which personal data can leak from "anonymous" repositories. 

Michael J. Wesley, Ph.D., heads the Neurobehavioral Systems Lab at the University of Kentucky.

In this video, he showed me how easy it is for personally identifiable information to slip through the cracks.

We use the case of medical images that practitioners could easily believe be anonymous. 

The scenario doesn't just spotlight the risks in health care.

It serves as a warning for generative AI users in education.

Educator friends, please share with teachers and school leaders with the following thought:

What you think is hidden can be seen—rethink data anonymity now.