An "AI-Driven State" is literally what econometrics is. All of the same math, models, and techniques used in AI/ML are the exact same used in Econometrics and Optimization Theory.
A pure technocratic driven state leveraging econometrics or optimization theory for the sake of it has failed multiple times. For example, the failure of the USSR's planned economy, the failure of the US's Vietnam War objectives due to a hyper-metrics driven workflow, etc.
On a separate note, I have always considered returning to grad school and making a small career of translating esoteric Econometrics models into ML models to make a brief publishing career. A Russian American friend of mine did something similar by essentially basing his CS research career on older Soviet optimization theory research that wasn't translated into English, so he could boost his publishing ability.
Technocratic states have not failed because of technocracy itself, but because their implementation was distorted by political, ideological, or cultural factors. Technocracy as a principle is not the issue-failure occurs when it is combined with rigid, non-adaptive systems that prioritize dogma over reality.
People are the problem here. As always. But of course AI itself need to be managed by people too so it can rose similar problem. Politics itself is the issue.
AI is not some runaway Skynet type of a thing. It's controlled by people, who will use it for good and bad.
Not to mention that AI is and will be owned by people who are already concentrating power in their own hands. They're not going to, voluntarily, relinquish that power.
the corrupt statesman discovered that after the AI which was trained on him was put into place he got the same amount of money delivered into his Swiss bank accounts, as the AI was just taking bribes and depositing them as the training dictated.
A pure technocratic driven state leveraging econometrics or optimization theory for the sake of it has failed multiple times. For example, the failure of the USSR's planned economy, the failure of the US's Vietnam War objectives due to a hyper-metrics driven workflow, etc.
On a separate note, I have always considered returning to grad school and making a small career of translating esoteric Econometrics models into ML models to make a brief publishing career. A Russian American friend of mine did something similar by essentially basing his CS research career on older Soviet optimization theory research that wasn't translated into English, so he could boost his publishing ability.