It is my impression that there are at least some examples in which this is done in practice: as far as I know, in rocket design you do in fact calculate those for most components, including software used on the on-board computers. This information is used to e.g. decide on the amount of duplication of electronics components in critical systems of the rocket. I am, however, not an expert on rockets.
Of course it's possible to do risk calculations. At the same time that doesn't mean that you are safe. Long-Term Capital Management exploded despite having low "verified upper bound" risk in the sense you speak about risk.
Incidentally, I am also of the opinion that having any kind of calculation would work better than making a non-zero extinction risk taboo, or not subject to negotiation (which seems to be the case currently).
Calculation of risk often leads to people taking more risk because they believe that the models of the risk they have accurately describe the risk.
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Every model has blind spots. That's the nature of models. If you price risk by a specific model, people take less risk in your model and often take more risk that's not part of the model.
It's a systematic issue and if you want to get deeper into it read Antifragile or The Black Swan.
If you launch rockets, than it might be okay to assume that your risk model is good enough to optimize for it. If you are on the other hand talking about risk from UFAI there's no reason to assume that you understand the problem well enough to model it and there a good chance that you take less risk in your model but increase the chance of the Black Swan event that kills you.
I'm quite aware of Black Swans. My suggestion was that some actors might kow about unknown unknowns and be able to make at least some predictions about this. Surely not inside systems that have opposing incentives. But e.g. reinsurer have some need to hedge these. These principles might be built upon. Maybe markets today price in black swans to some degree already.