Artificial Intelligence in the Eyes of Society: Assessing Social Risk and Social Value Perception in a Novel Classification

Artificial intelligence (AI) is a rapidly developing technology that has the potential to create previously unimaginable chances for our societies. Still, the public’s opinion of AI remains mixed. Since AI has been integrated into many facets of daily life, it is critical to understand how people pe...

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Bibliographic Details
Published in:Human behavior and emerging technologies 2024, Vol.2024, p.1-11
Main Authors: Alessandro, Gabbiadini, Federica, Durante, Cristina, Baldissarri, Luca, Andrighetto
Format: Article
Language:English
Subjects:
Activities of daily living
Anthropocentrism
Application
Artificial intelligence
Automation
Classification
Education
Ethics
Health care
Machine learning
Morality
Perceptions
Policy making
Privacy
Risk assessment
Risk perception
Surgery
Technology adoption
Violations
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Summary:Artificial intelligence (AI) is a rapidly developing technology that has the potential to create previously unimaginable chances for our societies. Still, the public’s opinion of AI remains mixed. Since AI has been integrated into many facets of daily life, it is critical to understand how people perceive these systems. The present work investigated the perceived social risk and social value of AI. In a preliminary study, AI’s social risk and social value were first operationalized and explored by adopting a correlational approach. Results highlighted that perceived social value and social risk represent two significant and antagonistic dimensions driving the perception of AI: the higher the perceived risk, the lower the social value attributed to AI. The main study considered pretested AI applications in different domains to develop a classification of AI applications based on perceived social risk and social value. A cluster analysis revealed that in the two-dimensional social risk × social value space, the considered AI technologies grouped into six clusters, with the AI applications related to medical care (e.g., assisted surgery) unexpectedly perceived as the riskiest ones. Understanding people’s perceptions of AI can guide researchers, developers, and policymakers in adopting an anthropocentric approach when designing future AI technologies to prioritize human well-being and ensure AI’s responsible and ethical development in the years to come.
ISSN:2578-1863
2578-1863
DOI:10.1155/2024/7008056