Litcius/Paper detail

How Might Artificial Intelligence Applications Impact Risk Management?

John D. Banja

2020The AMA Journal of Ethic24 citationsDOIOpen Access PDF

Abstract

Artificial intelligence (AI) applications have attracted considerable ethical attention for good reasons. Although AI models might advance human welfare in unprecedented ways, progress will not occur without substantial risks. This article considers 3 such risks: system malfunctions, privacy protections, and consent to data repurposing. To meet these challenges, traditional risk managers will likely need to collaborate intensively with computer scientists, bioinformaticists, information technologists, and data privacy and security experts. This essay will speculate on the degree to which these AI risks might be embraced or dismissed by risk management. In any event, it seems that integration of AI models into health care operations will almost certainly introduce, if not new forms of risk, then a dramatically heightened magnitude of risk that will have to be managed.

Topics & Concepts

RepurposingRisk managementWelfareRisk analysis (engineering)Risk assessmentEvent (particle physics)Computer scienceBusinessPsychologyComputer securityPolitical scienceLawEngineeringFinancePhysicsQuantum mechanicsWaste managementArtificial Intelligence in Healthcare and EducationEthics in Clinical ResearchEthics and Social Impacts of AI