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

Author:

Salmon Paul M.1ORCID,Baber Chris2,Burns Catherine3,Carden Tony1,Cooke Nancy4ORCID,Cummings Missy5,Hancock Peter6,McLean Scott1,Read Gemma J. M.17ORCID,Stanton Neville A.8

Affiliation:

1. Centre for Human Factors and Sociotechnical Systems University of the Sunshine Coast Sunshine Coast Queensland Australia

2. School of Computer Science University of Birmingham Birmingham UK

3. Department of Systems Design Engineering University of Waterloo Waterloo Ontario Canada

4. Center for Human, AI, and Robot Teaming Arizona State University Tempe Arizona USA

5. Department of Computer Science George Mason University Fairfax Virginia USA

6. Department of Psychology, Institute for Simulation and Training University of Central Florida Orlando Florida USA

7. School of Health University of the Sunshine Coast Sunshine Coast Queensland Australia

8. Human Factors Engineering, Transportation Research Group, School of Engineering, Faculty of Engineering and Physical Sciences University of Southampton Southampton UK

Abstract

AbstractArtificial 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.

Publisher

Wiley

Subject

Industrial and Manufacturing Engineering,Human Factors and Ergonomics

Reference50 articles.

1. Altman S.(2023).Planning for AGI and beyond.https://openai.com/blog/planning-for-agi-and-beyond

2. Amodei D. Olah C. Steinhardt J. Christiano P. Schulman J. &Mané D.(2016). Concrete problems in AI safety. arXiv preprint arXiv:1606.06565.https://doi.org/10.48550/arXiv.1606.06565

3. Anthropic. (2023).Core views on AI safety: When why what and how.https://www.anthropic.com/index/core-views-on-ai-safety

4. Ironies of automation

5. Baum S.(2017).A survey of artificial general intelligence projects for ethics risk and policy[Global Catastrophic Risk Institute Working Paper 17‐1]. Global Catastrophic Risk Institute.https://doi.org/10.2139/ssrn.3070741

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