Why Does AI Companionship Go Wrong?

AI companions, powered by advanced language models, offer personalised interactions and emotional support, but their increasing prevalence raises significant ethical concerns. This paper examines the complex interplay of factors contributing to the potential negative impacts of AI companions in a case study. This author further argues that the root of the negative impacts comes from insufficient user screening that may expose vulnerable individuals to unsuitable AI interactions, regulatory frameworks struggling to keep pace with rapid technological advancements, and a lack of clear distinction between inherent AI limitations and temporary developmental artifacts. This paper aims to provide insights for responsible AI development, and calls for robust user screening protocols, adaptive regulatory frameworks and more informed research mindsets.

Authors

Publication Details

Journal
The International Review of Information Ethics
Published
2024-10-19
DOI
https://doi.org/10.29173/irie526
Citations
1
Primary Topic
Ethics and Social Impacts of AI
Type
article
Field-Weighted Citation Impact
0.53
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article

Why Does AI Companionship Go Wrong?

Ziwei Gao
1 citations
The International Review of Information Ethics
Ethics and Social Impacts of AI
0.53
article

Why Does AI Companionship Go Wrong?

Ziwei Gao
article en
1 citations

Abstract

AI companions, powered by advanced language models, offer personalised interactions and emotional support, but their increasing prevalence raises significant ethical concerns. This paper examines the complex interplay of factors contributing to the potential negative impacts of AI companions in a case study. This author further argues that the root of the negative impacts comes from insufficient user screening that may expose vulnerable individuals to unsuitable AI interactions, regulatory frameworks struggling to keep pace with rapid technological advancements, and a lack of clear distinction between inherent AI limitations and temporary developmental artifacts. This paper aims to provide insights for responsible AI development, and calls for robust user screening protocols, adaptive regulatory frameworks and more informed research mindsets.

The International Review of Information EthicsVol. 34(1)
Openalex Percentile: Top 25%
Ethics and Social Impacts of AI
0.53
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