All Too Human? Mapping and Mitigating the Risk from Anthropomorphic AI

The development of highly-capable conversational agents, underwritten by large language models, has the potential to shape user interaction with this technology in profound ways, particularly when the technology is anthropomorphic, or appears human-like. Although the effects of anthropomorphic AI are often benign, anthropomorphic design features also create new kinds of risk. For example, users may form emotional connections to human-like AI, creating the risk of infringing on user privacy and autonomy through over-reliance. To better understand the possible pitfalls of anthropomorphic AI systems, we make two contributions: first, we explore anthropomorphic features that have been embedded in interactive systems in the past, and leverage this precedent to highlight the current implications of anthropomorphic design. Second, we propose research directions for informing the ethical design of anthropomorphic AI. In advancing the responsible development of AI, we promote approaches to the ethical foresight, evaluation, and mitigation of harms arising from user interactions with anthropomorphic AI.

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Publication Details

Journal
Proceedings of the AAAI/ACM Conference on AI Ethics and Society
Published
2024-10-16
DOI
https://doi.org/10.1609/aies.v7i1.31613
Citations
20
Primary Topic
Scientific Computing and Data Management
Type
article
Field-Weighted Citation Impact
21.02
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All Too Human? Mapping and Mitigating the Risk from Anthropomorphic AI

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20 citations
Proceedings of the AAAI/ACM Conference on AI Ethics and Society
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article

All Too Human? Mapping and Mitigating the Risk from Anthropomorphic AI

Arianna Manzini, Iason Gabriel, Laura Weidinger, Verena Rieser, Canfer Akbulut
article en
20 citations

Abstract

The development of highly-capable conversational agents, underwritten by large language models, has the potential to shape user interaction with this technology in profound ways, particularly when the technology is anthropomorphic, or appears human-like. Although the effects of anthropomorphic AI are often benign, anthropomorphic design features also create new kinds of risk. For example, users may form emotional connections to human-like AI, creating the risk of infringing on user privacy and autonomy through over-reliance. To better understand the possible pitfalls of anthropomorphic AI systems, we make two contributions: first, we explore anthropomorphic features that have been embedded in interactive systems in the past, and leverage this precedent to highlight the current implications of anthropomorphic design. Second, we propose research directions for informing the ethical design of anthropomorphic AI. In advancing the responsible development of AI, we promote approaches to the ethical foresight, evaluation, and mitigation of harms arising from user interactions with anthropomorphic AI.

Proceedings of the AAAI/ACM Conference on AI Ethics and SocietyVol. 7
Google (United States) (US), Google DeepMind (United Kingdom) (GB)
Openalex Percentile: Top 1%
Scientific Computing and Data Management
21.02
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