Cason Schmit – The Conversation

The new generation of AI tools makes it a lot easier to produce convincing misinformation. Photo by Olivier Douliery/AFP via Getty Images

April 3, 2023

Regulating AI: 3 experts explain why it’s difficult to do and important to get right

S. Shyam Sundar, Penn State; Cason Schmit, Texas A&M University, and John Villasenor, University of California, Los Angeles

Powerful new AI systems could amplify fraud and misinformation, leading to widespread calls for government regulation. But doing so is easier said than done and could have unintended consequences.

People produce mountains of data every day, but not all data is treated the same under the law. Orbon Alija/E+ via Getty Images

August 30, 2021

Data privacy laws in the US protect profit but prevent sharing data for public good – people want the opposite

Cason Schmit, Texas A&M University; Brian N. Larson, Texas A&M University, and Hye-Chung Kum, Texas A&M University

Profit-friendly data privacy laws in the U.S. are out of step with public sentiment and hinder uses the public supports, from reducing opioid overdose deaths to curbing the COVID-19 pandemic.

Sharing electronic medical records broadly could identify trends as well as mistakes, but it also poses privacy concerns. Metamorworks/Shutterstock.com

December 3, 2019

The tricky ethics of Google’s Project Nightingale, an effort to learn from millions of health records

Cason Schmit, Texas A&M University

A project involving tens of millions of patient records poses ethical issues, even though patients could ultimately gain. Here’s why privacy concerns are a hurdle.

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