It’s risk, Jim, but not as we know it: identifying the risks associated with future Artificial General Intelligence-based Unmanned Combat Aerial Vehicle systems

Author:

Salmon* Paul M.1,McLean Scott1,Carden Tony2,King Brandon1,Thompson Jason3,Baber Chris4,Stanton Neville A.5,Read Gemma J. M.1

Affiliation:

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

2. WorkSafe Victoria, Australia

3. Faculty of Architecture, Building and Planning, Transport, Health and Urban Design Research Hub, University of Melbourne, VIC, Australia

4. University of Birmingham, UK

5. Transportation Research Group, University of Southampton, Southampton, UK

Abstract

The next generation of artificial intelligence, known as Artificial General Intelligence (AGI), could either revolutionise or destroy humanity. Human Factors and Ergonomics (HFE) has a critical role to play in the design of safe and ethical AGI; however, there is little evidence that HFE is contributing to development programs. This paper presents the findings from a study which involved the use of the Work Domain Analysis-Broken Nodes approach to identify the risks that could emerge in a future ‘envisioned world’ AGI-based unmanned combat aerial vehicle system. The findings demonstrate that there are various potential risks, but that the most critical arise not due to poor performance, but rather when the AGI attempts to achieve goals at the expense of other system values, or when the AGI becomes ‘super-intelligent’, and humans can no longer manage it. The urgent need for further work exploring the design of AGI controls is emphasised.

Publisher

SAGE Publications

Subject

General Medicine,General Chemistry

Reference24 articles.

1. A Survey of Artificial General Intelligence Projects for Ethics, Risk, and Policy

2. Critch A., Krueger D. (2020). AI Research Considerations for Human Existential Safety (ARCHES). arXiv preprint arXiv:2006.04948.

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