Human Factors and Ergonomics in Manufacturing & Service Industries · 2020 · 33 citations · 35 references
EngineeringDesignSystems EngineeringArtificial IntelligenceErgonomicsHuman-centered DesignErgonomic DesignHuman FactorsOrganizational ErgonomicsArtificial General IntelligenceArtificial Intelligence RiskHuman Error ManagementHuman Factors EngineeringHuman Health EffectsHuman-system Integration
Artificial general intelligence (AGI) could revolutionize or destroy humanity, yet little has examined how human factors and ergonomics (HFE) can influence its development. The study frames HFE’s role in managing AGI risks using Tegmark’s Prometheus and outlines work needed to embed HFE in multidisciplinary AGI development. The authors identify fifteen HFE method categories and assess their potential roles in AGI system design using the Prometheus model. All fifteen HFE method categories can contribute to AGI design, though some require extension, and the study concludes that HFE should be integrated into AGI development with immediate effort.
Abstract The next generation of artificial intelligence, known as artificial general intelligence (AGI) could either revolutionize or destroy humanity. As the discipline which focuses on enhancing human health and wellbeing, human factors and ergonomics (HFE) has a crucial role to play in the conception, design, and operation of AGI systems. Despite this, there has been little examination as to how HFE can influence and direct this evolution. This study uses a hypothetical AGI system, Tegmark's “Prometheus,” to frame the role of HFE in managing the risks associated with AGI. Fifteen categories of HFE method are identified and their potential role in AGI system design is considered. The findings suggest that all categories of HFE method can contribute to AGI system design; however, areas where certain methods require extension are identified. It is concluded that HFE can and should contribute to AGI system design and immediate effort is required to facilitate this goal. In closing, we explicate some of the work required to embed HFE in wider multi‐disciplinary efforts aiming to create safe and efficient AGI systems.
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