New Issue: Orbital Catastrophe Ahead? Read Now

Could AI Have Prevented SkyWest Airliner’s Near Collision with a B-52 Bomber?

A SkyWest pilot’s last-second decision could have prevented a collision that air-traffic controllers may not have foreseen

Early morning arrival of a commercial airliner

Jetlinerimages/Getty Images

Join Our Community of Science Lovers!

On the evening of July 18, commercial SkyWest Flight 3788 was preparing to land at Minot International Airport in North Dakota, and the pilot suddenly made an extreme turn to avoid colliding with a military plane crossing his path.* The pilot later landed the SkyWest plane safely and entered the cabin to apologize to passengers for having to make an “aggressive maneuver.” According to a video taken by a passenger, which was confirmed by NBC News, the pilot said that an air-traffic controller had instructed him to turn right upon approach, but as the pilot looked in that direction, he saw what he described as a B-52 bomber on a “converging course” with the SkyWest plane. The pilot aborted the approach and made the aggressive turn instead.

The pilot also noted that the air-traffic control tower that serves the airport does not have radar and that its controllers depend on their own vision of planes near the airfield to make decisions. He added that the nearby Minot Air Force Base does have radar, and he wondered why no one from that operation had given him a warning. It is not uncommon for small airports to lack radar or to rely on communication from larger airports nearby that do have radar, whether commercial or military.

This incident occurred six months after a military Black Hawk helicopter crashed into an American Airlines passenger jet near Ronald Reagan Washington National Airport, killing 67 people. Scientific American recently ran a story investigating whether artificial intelligence could improve air-traffic-control (ATC) safety or even replace air-traffic controllers. The near collision for SkyWest makes the question even more pertinent.


On supporting science journalism

If you're enjoying this article, consider supporting our award-winning journalism by subscribing. By purchasing a subscription you are helping to ensure the future of impactful stories about the discoveries and ideas shaping our world today.


That story, by Adrienne Bernhard, noted that “short-staffed and overworked ATC workers try to monitor thousands of flights each day. Their work relies on many systems that have remained virtually unchanged for decades: runway lights are supported by technology first rolled out in the 1980s, and controllers in some towers still use paper to track aircraft movements. But perhaps the most analog aspect of ATC is that human beings are needed to guide pilots at every stage of flight.” Our article added that “given the meteoric rise of AI applications, the control tower may be ripe for full automation in the near future. Human intervention would be the exception, not the rule.”

An AI system is being tested at London’s Heathrow Airport and at Singapore Changi Airport. In our story, Bernhard wrote that “AI control would raise legal and ethical questions. Could AI be blamed for an accident? How risk-averse would an automated ATC system be? How risk-averse should it be?” The article also noted that “aviation experts aren’t confident that the benefits would outweigh possible new problems resulting from increased automation in the tower. For one thing, AI currently lacks the creativity, intuition or adaptability needed to deftly handle any emergency that deviates from historical flight data. Automated technology adds another layer of unpredictability to a system already mired in uncertainty. Forcing pilots and controllers to become more dependent on technology could erode their ability to make quick decisions. And increased digitization of ATC systems could make them vulnerable to cybersecurity threats.”

*Editor’s Note (7/22/25): This sentence was edited after posting to correct the date of the incident.

Mark Fischetti was a senior editor at Scientific American for nearly 20 years and covered sustainability issues, including climate, environment, energy, and more. He assigned and edited feature articles and news by journalists and scientists and also wrote in those formats. He was founding managing editor of two spin-off magazines: Scientific American Mind and Scientific American Earth 3.0. His 2001 article “Drowning New Orleans” predicted the widespread disaster that a storm like Hurricane Katrina would impose on the city. Fischetti has written as a freelancer for the New York Times, Sports Illustrated, Smithsonian and many other outlets. He co-authored the book Weaving the Web with Tim Berners-Lee, inventor of the World Wide Web, which tells the real story of how the Web was created. He also co-authored The New Killer Diseases with microbiologist Elinor Levy. Fischetti has a physics degree and has twice served as Attaway Fellow in Civic Culture at Centenary College of Louisiana, which awarded him an honorary doctorate. In 2021 he received the American Geophysical Union’s Robert C. Cowen Award for Sustained Achievement in Science Journalism. He has appeared on NBC’s Meet the Press, CNN, the History Channel, NPR News and many radio stations.

More by Mark Fischetti

Subscribe to Support Independent Journalism

Great science journalism requires human expertise, time, effort and creativity. And it costs money. That’s why I and the journalists here at Scientific American hope you’ll join our community.

When you subscribe, you are supporting staff and freelance journalists who are passionate about telling science stories that are true, important and compelling. Our editors and reporters are often experts in their fields, which means they understand the nuances of big discoveries and can untangle the breakthroughs from the hype. With a subscription, you are also supporting rigorous fact-checking to ensure the words we publish are precise and accurate. And you’re supporting original illustrations, graphics and photos that bring you closer to an advanced laboratory, an ice sheet in Antarctica or a space mission in orbit. You’re helping us craft other types of high-quality journalism as well: Our newsletters are carefully written, edited and curated by staffers you have or will come to know and love. Our Science Quickly podcast is based on original reporting, collaboration with editors and scientists and exacting production.

Subscriptions keep this engine running so we can continue to deliver thoughtful, rigorous and independent science journalism to you. In an era of viral misinformation, this work is crucial. If you value what we do, I hope you’ll consider joining us as a subscriber

Thank you,

Jeanna Bryner, Editor in Chief, Scientific American

Subscribe