AI Research Considerations for Human Existential Safety (ARCHES)
Andrew Critch, David Krueger

TL;DR
This paper explores how AI research can be guided to enhance humanity's long-term survival prospects by identifying risks, principles, and research directions that promote existential safety.
Contribution
It introduces the concept of prepotence to analyze AI risks and evaluates contemporary research directions for their potential to improve existential safety.
Findings
Prepotence helps delineate AI-related existential risks.
Certain research directions can benefit safety if properly managed.
Unregulated deployment of AI research may pose significant risks.
Abstract
Framed in positive terms, this report examines how technical AI research might be steered in a manner that is more attentive to humanity's long-term prospects for survival as a species. In negative terms, we ask what existential risks humanity might face from AI development in the next century, and by what principles contemporary technical research might be directed to address those risks. A key property of hypothetical AI technologies is introduced, called \emph{prepotence}, which is useful for delineating a variety of potential existential risks from artificial intelligence, even as AI paradigms might shift. A set of \auxref{dirtot} contemporary research \directions are then examined for their potential benefit to existential safety. Each research direction is explained with a scenario-driven motivation, and examples of existing work from which to build. The research directions…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsEthics and Social Impacts of AI · Adversarial Robustness in Machine Learning · Explainable Artificial Intelligence (XAI)
