4.3 Article

Managing the risks of artificial general intelligence: A human factors and ergonomics perspective

Publisher

WILEY
DOI: 10.1002/hfm.20996

Keywords

artificial general intelligence; artificial intelligence; human factors; risk; safety

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Artificial General Intelligence (AGI) is the next stage of development in Artificial Intelligence (AI), which could bring significant benefits but also pose potential threats. Human Factors and Ergonomics (HFE) play a crucial role in designing safe and ethical AGI, but little evidence suggests its current influence. This article presents perspectives from 10 AI safety researchers on the risks associated with AGI, HFE concepts for AGI design, and the necessary activities for HFE to fulfill its critical role.
Artificial General Intelligence (AGI) is the next and forthcoming evolution of Artificial Intelligence (AI). Though there could be significant benefits to society, there are also concerns that AGI could pose an existential threat. The critical role of Human Factors and Ergonomics (HFE) in the design of safe, ethical, and usable AGI has been emphasized; however, there is little evidence to suggest that HFE is currently influencing development programs. Further, given the broad spectrum of HFE application areas, it is not clear what activities are required to fulfill this role. This article presents the perspectives of 10 researchers working in AI safety on the potential risks associated with AGI, the HFE concepts that require consideration during AGI design, and the activities required for HFE to fulfill its critical role in what could be humanity's final invention. Though a diverse set of perspectives is presented, there is broad agreement that AGI potentially poses an existential threat, and that many HFE concepts should be considered during AGI design and operation. A range of critical activities are proposed, including collaboration with AGI developers, dissemination of HFE work in other relevant disciplines, the embedment of HFE throughout the AGI lifecycle, and the application of systems HFE methods to help identify and manage risks.

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