Another AI issue (#3)

My biggest issue with AI is not that it is going to take over the world (i.e. Terminator V?), it is that it makes mistake. AI makes simple factual errors because it lacks the ability to question and crosscheck. Now, granted a lot of people make the same type of mistakes, but if these “machines” are going to be better than us, they kind of need to quit making simple mistakes.

I have blogged about these mistakes before. here Khrushchev Quote and AI – The Dupuy Institute  and here Yahoo AI and order of battle for operations near Chernihiv in 2022 – The Dupuy Institute. It messed up a citation in the first case and it made an error in the order of battle in the second. The problem was that these mistakes were on the web (and AI does not seem to be able to do original research) and it picked up those errors. It does not appear to have the ability to weigh and discern the difference between contradictory data or look deeper into data that does not look right. It seems to have no ability to tell if the data does not look right. It does provide entertaining art though:  War by Numbers by AI – The Dupuy Institute.

Now an old friend of mind has found another error. In this case he was using AI to help with a wargame design. It provided the following note:

  • Even overwhelming invasions (e.g., the Great Heathen Army) suffered setbacks.

Your probability curve (14% at 1:1, 28% at 2:1, 42% at 3:1, etc.) mirrors the historical pattern that 3:1 is the threshold of likely success, a principle echoed in modern military theory (e.g., Dupuy, Numbers, Predictions, and War).

It actually referenced Numbers, Predictions, and War. Not sure if the AI could actually read it as it is not supposed to be available on the web (copyright is still active). But NPW does not actually address the 3-to-1 rule. Doesn’t even mention it (I do have a .pdf version I can search). Now, Trevor Dupuy does have a chapter on it in Understanding War, but it doesn’t really say that. We have blogged about this before:

  1. The U.S. Army Three-to-One Rule – The Dupuy Institute
  2. The Source of the U.S. Army Three-to-One Rule – The Dupuy Institute
  3. The U.S. Army Three-to-One Rule versus the 752 Case Division-level Data Base 1904-1991 – The Dupuy Institute
  4. The U.S. Army Three-to-One Rule versus 49 U.S. Civil War battles – The Dupuy Institute
  5. The U.S. Army Three-to-One Rule versus 243 Battles 1600-1900 – The Dupuy Institute
  6. People keep referencing us on the 3-to-1 Rule – The Dupuy Institute which references another eight links to the blog on the subject, including:
  7. Trevor Dupuy and the 3-1 Rule – The Dupuy Institute

Anyhow, we have talked about it a lot. It never seems to go away even though I think the military analytical community would be better served to never reference it again. I also have a chapter on force ratios in my book War by Numbers.

So, AI pulls up a rule that does not have much validity and then proceeds to give an incorrect reference to a book that never discusses it. Not encouraging.

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Christopher A. Lawrence
Christopher A. Lawrence

Christopher A. Lawrence is a professional historian and military analyst. He is the Executive Director and President of The Dupuy Institute, an organization dedicated to scholarly research and objective analysis of historical data related to armed conflict and the resolution of armed conflict. The Dupuy Institute provides independent, historically-based analyses of lessons learned from modern military experience.
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Mr. Lawrence was the program manager for the Ardennes Campaign Simulation Data Base, the Kursk Data Base, the Modern Insurgency Spread Sheets and for a number of other smaller combat data bases. He has participated in casualty estimation studies (including estimates for Bosnia and Iraq) and studies of air campaign modeling, enemy prisoner of war capture rates, medium weight armor, urban warfare, situational awareness, counterinsurgency and other subjects for the U.S. Army, the Defense Department, the Joint Staff and the U.S. Air Force. He has also directed a number of studies related to the military impact of banning antipersonnel mines for the Joint Staff, Los Alamos National Laboratories and the Vietnam Veterans of American Foundation.
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His published works include papers and monographs for the Congressional Office of Technology Assessment and the Vietnam Veterans of American Foundation, in addition to over 40 articles written for limited-distribution newsletters and over 60 analytical reports prepared for the Defense Department. He is the author of Kursk: The Battle of Prokhorovka (Aberdeen Books, Sheridan, CO., 2015), America’s Modern Wars: Understanding Iraq, Afghanistan and Vietnam (Casemate Publishers, Philadelphia & Oxford, 2015), War by Numbers: Understanding Conventional Combat (Potomac Books, Lincoln, NE., 2017) , The Battle of Prokhorovka (Stackpole Books, Guilford, CT., 2019), The Battle for Kyiv (Frontline Books, Yorkshire, UK, 2023), Aces at Kursk (Air World, Yorkshire, UK, 2024), Hunting Falcon: The Story of WWI German Ace Hans-Joachim Buddecke (Air World, Yorkshire, UK, 2024) and The Siege of Mariupol (Frontline Books, Yorkshire, UK, 2024).
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Mr. Lawrence lives in northern Virginia, near Washington, D.C., with his wife and son.

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4 Comments

  1. Looks like the AI is very reluctant to say “I don´t know” and it prefers to invent the answers.

  2. It seems that you will have to do so much work checking the AI that it is better to ignore it. It does not make a worthwhile contribution.

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