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According to AI researcher Stuart Armstrong, if we can define what artificial intelligence is, and make it work, we don't have to solve the so-called AI-control problem.
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Armstong has been working on several methods of analysing the likelihood of certain outcomes and in making decisions under the resulting uncertainty, as well as specific measures for reducing AI risk. His booklet Smarter Than Us: The Rise of Machine Intelligence
lays out some the challenges in this area, and why it’s an important focus.He is also interested in collaborations for these research interests, which he currently doesn’t have time to develop on his own.
His Oxford D.Phil was in parabolic geometry, calculating the holonomy of projective and conformal Cartan geometries. He later transitioned into computational biochemistry, designing several new ways to rapidly compare putative bioactive molecules for virtual screening of medicinal compounds.
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