2023/06/12 by Critch, Andrew, Russell, Stuart · 4 citations
#68T01 #Artificial Intelligence (cs.AI) #Computers and Society (cs.CY) #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #I.2.0 #Machine Learning (cs.LG)
paper · doi:10.48550/arxiv.2306.06924
While several recent works have identified societal-scale and extinction-level risks to humanity arising from artificial intelligence, few have attempted an \em exhaustive taxonomy of such risks. Many exhaustive taxonomies are possible, and some are useful -- particularly if they reveal new risks or practical approaches to safety. This paper explores a taxonomy based on accountability: whose actions lead to the risk, are the actors unified, and are they deliberate? We also provide stories to illustrate how the various risk types could each play out, including risks arising from unanticipated interactions of many AI systems, as well as risks from deliberate misuse, for which combined technical and policy solutions are indicated.