Hannah Chin
speaker
696 appearances
10 recordings
1 series
first heard Nov 2025
last heard 17 Aug
Hannah Chin’s voice in public audio — every appearance, attributed to the second.
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recordings per month · last 12 monthsRecordings per month over the last 12 months — 10 in all, peaking in Aug 2026 with 2.
Appearances
More than humans would.
She basically means they responded with more force or they got more violent to varying degrees.
Okay.
And this was a couple years ago, right?
So she just finished a forthcoming literature review of about twenty-five research papers running similar experiments with updated models all over the past two years.
Going in, she thought, Hey, AI has changed a lot in the past few years.
Maybe this has changed too.
We don't know.
No one does.
And maybe that's the most concerning thing.
Oh wow.
I did reach out to the companies whose models Jacqueline looked at, so Anthropic, Meta, Google, and OpenAI, among others, and they all declined to comment publicly.
I also reached out to the Pentagon to comment on this tendency, and they didn't respond directly to that question.
Just to be clear, this isn't about the AI's problem solving abilities.
If anything, Jacqueline told me if given clear parameters and confined windsets, the models were more likely to find the mathematical solution to a problem than a typical human.
It was more that the more open-ended the problem was, the vaguer the definition of victory, the higher the likelihood that the AI models would hallucinate or escalate.
Well, all the experts I spoke to gave me the same recommendations that they think we need to pursue before implementing AI wholesale into military operations.
First, they said we need better tech education and more critical thinking around the implementation of AI recommendations.
Jacqueline told me she specifically wants more human arbitration of AI decisions, which means knowing more about how AI is being inserted in that chain of command we talked about earlier in the first place.
And the second thing experts recommended is that we need to understand better why AI models are making the suggestions they're making.
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