Forum on A.I. for all UC faculty, April 17, by UC Forward
“The Future of (No) Work and Artificial Intelligence: UC’s Response” is the focus of a forum for UC faculty at Niehoff Urban Studio, April 17, 2-5:15 p.m.
The forum will be held at the Niehoff Urban Studio, 2728 Vine Street, on Wednesday, April 17, 2:00-5:15 p.m., featuring keynote speaker Lee Rainie from Pew Research and UC faculty and an informal “meet and greet” reception will follow the program.
The development of Artificial Intelligence and its convergence with other technologies like robotics, business analytics and digital communications will bring profound changes to our society. Many economists predict that many of the jobs for which we now prepare UC students will not exist in a few short decades. Our society will be challenged to respond to these dramatic changes with new public policy frameworks and individuals will be challenged to find ways to live creative and meaningful lives unanchored by careers.
Related Stories
Sugar overload killing hearts
November 10, 2025
Two in five people will be told they have diabetes during their lifetime. And people who have diabetes are twice as likely to develop heart disease. One of the deadliest dangers? Diabetic cardiomyopathy. But groundbreaking University of Cincinnati research hopes to stop and even reverse the damage before it’s too late.
Is going nuclear the solution to Ohio’s energy costs?
November 10, 2025
The Ohio Capital Journal recently reported that as energy prices continue to climb, economists are weighing the benefits of going nuclear to curb costs. The publication dove into a Scioto Analysis survey of 18 economists to weigh the pros and cons of nuclear energy. One economist featured was Iryna Topolyan, PhD, professor of economics at the Carl H. Lindner College of Business.
App turns smartwatch into detector of structural heart disease
November 10, 2025
An app that uses an AI model to read a single-lead ECG from a smartwatch can detect structural heart disease, researchers reported at the 2025 Scientific Sessions of the American Heart Association. Although the technology requires further validation, researchers said it could help improve the identification of patients with heart failure, valvular conditions and left ventricular hypertrophy before they become symptomatic, which could improve the prognosis for people with these conditions.