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Exploring key categories of social perception and moral responsibility of AI-based agents at work: Findings from a case study in an industrial setting

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Published:19 April 2023Publication History

ABSTRACT

The increasing adoption of smart and interactive technologies, based on Artificial Intelligence (AI), in business and society transforms humans’ perception of these technologies towards social actors. However, since there are also reservations of humans to interact with artificial agents, it is fundamental to explore the social perception of this new technology and the implications thereof. Social perception governs social behavior and subsequently affects interactions with AI-agents. Moral responsibility plays a pivotal role in functioning societies and should thus be taken into account when implementing AI. This qualitative study examines workers in an industrial setting, who perform a decision-making task together with an AI-agent possessing no visual human-like characteristics. Based on the model of Responsibility in Hybrid Societies we show that workers assign capacities of social perception and moral responsibility to their AI-based counterpart. We present first evidence that theoretically derived models of social perception and moral responsibility are applicable in industrial settings.

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        • Published in

          cover image ACM Conferences
          CHI EA '23: Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems
          April 2023
          3914 pages
          ISBN:9781450394222
          DOI:10.1145/3544549

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          • Published: 19 April 2023

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