How to spot an AI-generated image

UC professor offers tips to Fox 19 on how to tell if an image is real or artificially generated

It's getting harder to tell the difference between real photographs and artificially generated images. In the near future, it could be impossible with just human vision, a University of Cincinnati professor told Fox 19.

Zag ElSayed headshot

Zag ElSayed, PhD, assistant professor in UC's School of Information Technology

Zag ElSayed, PhD, an assistant professor in UC's School of Information Technology, challenged Fox 19 journalist Megan O'Rourke to determine if images were AI-generated or real photographs. O'Rourke correctly identified the authenticity of some but not all of them.

“I predict in the next five years we will have 100% generated images AI that you cannot detect by just a regular human eye,” ElSayed said.

Using a simple python code and information readily available online, ElSayed also was able to generate images that looked similar to O'Rourke.

To detect the difference between real and fake images, ElSayed suggested three “truths” to watch for:

  • Physical law: Like close objects that are not focused or have blurry backgrounds
  • Logical law: Dealing with the overall composition of the image such as too many lighting sources
  • Natural imperfections

See more from Fox 19.

Megan O’Rourke headshot
AI-generated image using Megan O’Rourke's photo

With a simple python code that uses an OpenAI library (which a part of ChatGPT application programming interface) and DALL·E 3, Zag ElSayed created an artificially generated image on the right that is very similar to Megan O'Rourke, whose real photo is on the left.

Featured image at top: 3D render of AI and GPU processors. Photo/Igor Omilaev via Unsplash

Impact Lives Here

The University of Cincinnati is leading public urban universities into a new era of innovation and impact. Our faculty, staff and students are saving lives, changing outcomes and bending the future in our city's direction. Next Lives Here.

Related Stories

1

John Kelly would like a word

March 10, 2026

A 2012 graduate of UC's Master of Education program, John Kelly's career journey has taken a very interesting path. A bookish kid growing up, the author of MashedRadish.com went on to study English in undergraduate school, then, with a plan to become an educator, he pursued and completed graduate work at UC's School of Education. Life had other plans for John though, and he eventually found himself in a VP role at Dictionary.com. Today, however, he's back in front of students and pursuing a full-time career as an English teacher.

2

Is uACR the key to cardiovascular and kidney disease prevention?

March 8, 2026

As a precision biomarker, the urinary albumin-to-creatinine ratio (uACR) can guide physicians toward personalized, patient-centered prevention and treatment of both cardiovascular disease (CVD) and chronic kidney disease (CKD), according to new data published in the Journal of Internal Medicine.

3

Driven by her own pain

March 8, 2026

Endometriosis is a painful and often debilitating disease that affects an estimated 6.5 million women in the U.S. It occurs when tissue similar to the lining of the uterus grows outside of it, causing pain, inflammation and sometimes infertility. Now a University of Cincinnati College of Medicine researcher is developing what is believed to be the first at-home diagnostic test.