Forecasting emergent risks in advanced AI systems: an analysis of a future road transport management system.
Ergonomics
; 66(11): 1750-1767, 2023 Nov.
Article
em En
| MEDLINE
| ID: mdl-38009364
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. Further, 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.Practitioner summary:
This study demonstrated the utility of HFE methods for formally considering risks associated with the design, implementation, and operation of future technologies. This study has implications for AGI research, design, and development to ensure safe and ethical AGI implementation.Palavras-chave
Texto completo:
1
Base de dados:
MEDLINE
Assunto principal:
Tecnologia
/
Inteligência Artificial
Limite:
Humans
Idioma:
En
Ano de publicação:
2023
Tipo de documento:
Article