Future intelligent systems could cause great harm to humanity. Because of the large risks, if we are to responsibly build intelligent systems, they must not only be safe but we must be very convinced that they are safe. For example, an AI which is taught human morality by reinforcement learning might be safe, but it’s hard to see how we could become sufficiently convinced to responsibly deploy it.
Before deploying an advanced intelligent system, we should have a very convincing argument for its safety. If that argument is rigorously correct, then it is a mathematical proof. This is not a trivial endeavor! It’s just the only path that appears to be open to us.
The mathematical foundations of computing have been known since Church and Turing‘s work in 1936. Both created computational models which were simultaneously logical models about which theorems could be proved. Church created the lambda calculus
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