"Patrick Lin, an Associate Professor at California Polytechnic State University, believed that the principle is too ambiguous.
He explained, “This sounds great in ‘principle,’ but you need to work it out. For instance, it could be that there’s this catastrophic risk that’s going to affect everyone in the world. It could be AI or an asteroid or something, but it’s a risk that will affect everyone. But the probabilities are tiny — 0.000001 percent, let’s say. Now if you do an expected utility calculation, these large numbers are going to break the formula every time. There could be some AI risk that’s truly catastrophic, but so remote that if you do an expected utility calculation, you might be misled by the numbers.”"