AI Anthropomorphism: Effects on AI-Human and Human-Human Interactions

Not Approved

Relevance and Originality

This review paper addresses a significant and timely topic in the field of artificial intelligence—AI anthropomorphism—and its implications for human interaction. The concept of assigning human-like traits to AI systems is increasingly relevant as AI technologies become more integrated into everyday life. The originality of the paper lies in its comprehensive examination of various theoretical frameworks that explain how anthropomorphism affects social dynamics and human relationships. By synthesizing empirical studies and theoretical insights, the paper offers a fresh perspective on the broader societal implications of interacting with AI systems.

Methodology

The methodology employed in this review is robust, utilizing a comprehensive approach that synthesizes literature from various theoretical frameworks, including social presence theory, media equation theory, attachment theory, and uncanny valley theory. This multidimensional approach enhances the depth of analysis and helps contextualize the findings within broader psychological and sociological theories. However, the paper could improve by providing more clarity on the criteria used for selecting the studies included in the review. A systematic literature review process, detailing how studies were chosen and analyzed, would strengthen the rigor of the methodology.

Validity & Reliability

The findings are grounded in a well-documented analysis of existing literature, which lends validity to the conclusions drawn about the effects of AI anthropomorphism on human behavior. However, the reliability of the findings could be bolstered by discussing potential biases in the selected studies or acknowledging the limitations of the existing literature. For example, the paper could address whether certain populations (e.g., age, tech-savviness) were overrepresented in the studies reviewed, which could influence the generalizability of the findings.

Clarity and Structure

The paper is generally well-organized, with a clear progression from defining anthropomorphism to discussing its implications for human interaction. The language is accessible, though some sections may benefit from simplifying complex jargon or providing definitions for key terms, particularly for readers who may not be familiar with the theoretical frameworks discussed. Visual aids, such as diagrams illustrating the relationship between AI anthropomorphism and human behavior, could enhance comprehension and engagement.

Result Analysis

The findings highlight both the positive and negative consequences of AI anthropomorphism on human relationships. The recognition that attributing human-like characteristics to AI can foster user engagement and empathy is particularly valuable. However, the caution against excessive reliance on AI for social interaction is a critical takeaway, as it addresses the potential erosion of social skills. Expanding on this discussion with examples or case studies demonstrating both the benefits and risks of AI anthropomorphism would provide a more nuanced analysis.