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Indi­rect normativity

TagLast edit: 17 May 2021 14:11 UTC by Pablo

Indirect normativity is an approach to the AI alignment problem that attempts to specify AI values indirectly, such as by reference to what a rational agent would value under idealized conditions, rather than via direct specification.

Bibliography

Bostrom, Nick (2014) Superintelligence: Paths, Dangers, Strategies, Oxford: Oxford University Press.

Christiano, Paul (2012) A formalization of indirect normativity, Ordinary Ideas, April 21.

Yudkowsky, Eliezer (2013) Five theses, two lemmas, and a couple of strategic implications, Machine Intelligence Research Institute’s Blog, May 5.

Related links

AI alignment | motivation selection method

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