Deadly LaGuardia Crash Could/Should Have Been Prevented

WASHINGTON - EntSun -- The deadly crash at LaGuardia Airport, which killed 2 people and seriously injured more than 40 in addition, could and should have been prevented by using AI programs to supplement and issue warnings to air traffic controllers, argues Professor John Banzhaf, a computer expert who has written extensively about transportation safety.

He says such deadly collisions and other potentially-deadly near misses could have been prevented by using computers equipped with AI programs to monitor radio communications as well as radar, and then provide air traffic controllers in control towers with instantaneous real-time alerts before there is a potential collision between aircraft and/or ground vehicles.

Using AI to reduce actual airplane collisions, as well as the escalating number of potentially-fatal near misses (most of which, says the New York Times, are never reported), was never even evaluated, much less tested, while the FAA under the prior administration reportedly (https://www.dailymail.co.uk/news/article-14925927/Pete-Buttigieg-fire-spending-80B-diversity-policies-ignoring-needed-air-traffic-control-upgrades.html) spent some $80 billion promoting diversity rather than air traffic safety.

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Fortunately, the industry is moving ahead anyway.

Banzhaf notes that computers running AI programs can already do many things air traffic controllers can't possibly do, and do it in milliseconds, including:
■ monitoring the dozens of different relevant radio frequencies, including commercial, helicopter, small craft civilian, military, Homeland Security, ground vehicles, and radios from other nearby airports, etc.
■ calculate various flight paths, and trajectories of planes taking off or taxiing as well as ground vehicles, and thereby foresee possible crashes in fractions of a second
■ never become tired, flustered, distracted, or panicked, or distracted by concerns about a missed paycheck
and then alert an air traffic controller if there seems to be a problem such as a potential collision.

For more details, as well as links to what the industry is already doing, see:
Lives of 300+ Passengers at Risk in Preventable Near Miss at Boston AP (http://prsync.com/george-washington-university/lives-of--passengers-at-risk-in-preventable-near-miss-at-boston-ap----ai-can-help-prevent-inevitable-catastrophe-at-little-cost--4967329/)

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AI Can Help Prevent Inevitable Catastrophe at Little Cost NOW - Experts (http://prsync.com/george-washington-university/...)

JOHN F. BANZHAF III, B.S.E.E., J.D., Sc.D.
Professor,George Washington University
FAMRI Dr. William Cahan Distinguished Professor
Fellow, World Technology Network
Creator of the "Banzhaf Index"
(703) 527-8418
http://banzhaf.net/   jbanzhaf3ATgmail.com   @profbanzhaf