Anthropomorphism in the age of Large Language Models: An overview of potential risks and mitigations

This research paper provides an overview of anthropomorphism in Large Language Models (LLMs) and broader AI systems, synthesizing existing literature. It covers theoretical frameworks, the impact of language in portraying AI as human-like, and potential risks, concluding with mitigation strategies. The paper introduces a taxonomy of twenty-one concerns related to AI anthropomorphism.

Understanding the risks and implications of anthropomorphizing AI is crucial for the responsible development and deployment of advanced technological systems. It impacts public perception, user interaction, and the potential for misinterpretation of AI capabilities, which can have downstream effects on trust and adoption.

Anthropomorphism, the tendency to describe AI systems in human-like terms, is a prevalent phenomenon.

Forward consideration, not a verified fact.