Journal article
Forecasting Emergent Risks in Advanced AI systems: An Analysis of a Future Road Transport Management System
Ergonomics, Vol.66(11), pp.1750-1767
2023
Abstract
Artificial Intelligence (AI) is being increasingly implemented within road transport systems worldwide. Next generation of AI, Artificial General Intelligence (AGI) is imminent, and is anticipated to be more powerful than current AI. AGI systems will have a broad range of abilities and be able to perform multiple cognitive tasks akin to humans that will likely produce many expected benefits, but also potential risks. This study applied the EAST Broken Links approach to forecast the functioning of an AGI system tasked with managing a road transport system and identify potential risks. In total, 363 risks were identified that could have adverse impacts on the stated goals of safety, efficiency, environmental sustainability, and economic performance of the road system. Risks beyond the stated goals were identified; removal from human control, mismanaging public relations, and self-preservation. A diverse set of systemic controls will be required when designing, implementing, and operating future advanced technologies.
Details
- Title
- Forecasting Emergent Risks in Advanced AI systems: An Analysis of a Future Road Transport Management System
- Authors
- S McLean (Corresponding Author) - University of the Sunshine Coast, Queensland, Centre for Human Factors and Sociotechnical SystemsB J King (Author) - University of the Sunshine Coast, Queensland, Centre for Human Factors and Sociotechnical SystemsJ Thompson (Author) - University of MelbourneT Carden (Author) - University of the Sunshine Coast, Queensland, Centre for Human Factors and Sociotechnical SystemsN A Stanton (Author) - University of SouthamptonC Baber (Author) - University of BirminghamG J M Read (Author) - University of the Sunshine Coast, Queensland, Centre for Human Factors and Sociotechnical SystemsP M Salmon (Author) - University of the Sunshine Coast, Queensland, Centre for Human Factors and Sociotechnical Systems
- Publication details
- Ergonomics, Vol.66(11), pp.1750-1767
- Publisher
- Taylor & Francis
- DOI
- 10.1080/00140139.2023.2286907
- ISSN
- 1366-5847
- Organisation Unit
- Centre for Human Factors and Sociotechnical Systems; School of Health - Psychology
- Language
- English
- Record Identifier
- 99982898002621
- Output Type
- Journal article
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