AI: The Commander and the lie detector
Written by Dr Peter Roberts for Aureliusthinking.com and reproduced with his kind permission. View the original post here.
It seems likely that AI will provide the military commander with more options, advice, and courses of action (COAs) in the near future. That should be good news.
Smarter AI systems should also become more nuanced; rather than just examining topography, geography, correlation of forces, resource availability, time and space, command arrangements, optimal synchronisation, and intent, good systems will also look at how the enemy is fighting. That examination of tactics – updated day-by-day as fighting styles adapt to the fight they are in – will impact on the COA that a commander will select.
That’s all-good news and senior military personnel seem to be getting rather excited about it, as do the journalists covering it. What is less sure is the data that sits underneath the AI coding: how clean is it? How reliable? Has it been verified? Has it been validated? What’s its veracity? Can it be ingested into the model and the coding applied? Has it been weighted properly? Is it relevant to the current fight, or the next one?
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Dr Peter Roberts
Dr Peter Roberts is the host of the 'Command and Control' podcast. He is both a Royal Navy veteran and the former Director of Military Sciences at the Royal United Services Institute.
In addition, he is a regular global commentator and advisor on military affairs.
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The possibility of false information
As we have seen in numerous system tests with ML and AI streams (including Large Language Models), when the system is unsure it does not provide a level of certainty about recommendations and answers; instead, it simply lies (something that has become known as AI bullshitting – an evolution on the ‘hallucination’ taxonomy previously used[1]).
Indeed, the idea that AI models weigh evidence and argue on the basis of finding ‘truth’ is false. LLMs are inherently more concerned with sounding truthful than delivering a factually correct response. Where decisions have lesser importance, this poor advice can have significant consequences in terms of financial or reputational damage. In some circumstances, it could even lead to damage and physical injury. For war fighting commanders, decisions guided by AI under false premises are likely to result in death and destruction.
Information verification
This is important – clearly – but it does not mean than military commanders need to develop detailed system and data knowledge. There is insufficient time for these people to add that specialist skill into the already heady education and training agenda required of them.
Rather, commanders need to be given technical/technological confidence; something that will enable them to understand and articulate their needs and be assured that their C2 systems are working off useful data and not something trawled from an irrelevant fight: in essence they will need to have a bullshit detector dealing with AI systems and models.
This will be a significant issue in the near future. Most Western commanders see themselves as ‘big picture’ people, leaving the detail and the ‘weeds’ to both their headquarters staff and subordinates. Adding a smattering of ‘mission command’ delegation and a bit of junior empowerment makes everyone feel secure in their decisions. Yet Western commanders have shown little willingness (or ability) to involve themselves in process detail that sets the critical intellectual conditions for battles.
For example, it is rare to see a commander do more than cast an eye over his ‘personal’ CCIRs (Commanders Critical Information Requirements). Usually this is left up to staffs who nominate a few items for rubber stamping. Few commanders really ever nominate CCIRs themselves.
![Digital fragmentation of a face](https://cdn.systematic.com/media/ocjndxdj/img9002_01_uk_fragmented-face.jpg?height=624&quality=80&rmode=crop&format=webp&null)
Understanding the system - and playing to the advantage
The corollary to this is understanding what data an adversary is relying or dependent on, and the opportunities of exploiting those feeds to distract, discombobulate, confuse, or divert attention. Indeed, by understanding how an adversary AI system works, it may well be possible to assist them in making poor decisions by amplifying certain information and data feeds on which their systems place heavy emphasis.
This is simply a digitisation of a much older practice of disinformation and counter command and control operations. Whilst Western forces have previously been rather good at this, a more recent focus on the prospects of emerging and disruptive technology as an end in itself has not been helpful in bringing Western commanders and their forces success.
Simply put, whilst military personnel at all levels (and from everywhere) might be very excited about what AI can do for them, they are doing little for it (except provide [hot] air time). The effects of this neglect are likely to be catastrophic for the careers of military commanders. They will have more deadly consequences for soldiers, sailors, marines, and aviators, and the nation state.
[1] Hicks, M.T., Humphries, J. & Slater, J. ChatGPT is bullshit. Ethics Inf Technol 26, 38 (2024). https://doi.org/10.1007/s10676-024-09775-5
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