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Transparent Peer Review By Scholar9

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

Abstract

Objective: Anthropomorphism is the act of assigning distinctive human-like traits, feelings, and behavioral characteristics to non-human entities. The phenomenon known as artificial intelligence (AI) anthropomorphism involves imputing human-like behavioral characteristics onto generative artificial intelligence systems. This phenomenon holds significant implications for the future of human-human social interactions in society. This review paper examines the concept of AI anthropomorphism and its influence on human behavior, with a particular emphasis on how interaction between AI and humans can affect societal dynamics and social relationships among humans. Methodology: This paper examines the comprehensive understanding of AI anthropomorphism and the impact of AI-human interactions on human-human social interactions through the examination of several theoretical frameworks and empirical studies. The paper synthesizes information from the research literature on AI anthropomorphism. The paper incorporates insights from theoretical frameworks such as social presence theory, media equation theory, attachment theory, and uncanny valley theory. The paper entails an in-depth study of scholarly publications, case studies, and observational studies that highlights the implications for human relationships with anthropomorphized AI. Findings: The findings indicate that attributing human-like characteristics to AI can greatly increase user engagement, inclusivity, and understanding of AI, potentially enhancing human-human relationships by facilitating similar positive social behaviors. Excessive dependence on AI for social interaction can potentially diminish the quality of human communications and cause the erosion of social skills, thereby emphasising the importance of incorporating AI in a balanced manner. In conclusion, AI has the potential to enhance empathy, compassion, and teamwork in human communication. It is essential to strike a balance to avoid becoming overly reliant on generative AI and sacrificing authentic human connections. Subsequent investigations should prioritize the refinement of AI design and social chatbots to bolster and amplify human-human connections, rather than supplanting them.

Balachandar Ramalingam Reviewer

badge Review Request Accepted

Balachandar Ramalingam Reviewer

16 Oct 2024 03:49 PM

badge Approved

Relevance and Originality

Methodology

Validity & Reliability

Clarity and Structure

Results and Analysis

Relevance and Originality

The research article addresses the timely and relevant topic of AI anthropomorphism, an area of growing interest given the increasing integration of AI into everyday life. By exploring how human-like traits assigned to AI systems can impact social interactions and relationships, the paper offers valuable insights that resonate with current societal trends. The originality of the study is evident in its focus on the dual nature of AI's influence—both positive and negative—on human behavior, contributing to a nuanced understanding of this complex phenomenon.


Methodology

The methodology employed in this review is comprehensive, drawing from a variety of theoretical frameworks and empirical studies to provide a well-rounded examination of AI anthropomorphism. The incorporation of theories such as social presence theory and the uncanny valley theory adds depth to the analysis, allowing for a multifaceted exploration of the subject. However, the paper could benefit from a clearer explanation of the selection criteria for the studies included in the review, as well as a more detailed discussion on how these frameworks were applied in analyzing the literature.


Validity & Reliability

The findings of the study highlight the significant effects of AI anthropomorphism on user engagement and social interactions, suggesting a reliable link between human-like characteristics of AI and improved human-human relationships. Nonetheless, the article would be strengthened by discussing the limitations of the reviewed studies, such as potential biases or methodological flaws, which could affect the validity of the conclusions drawn. Additionally, presenting quantitative data or statistical analyses from the studies reviewed would bolster the reliability of the findings.


Clarity and Structure

The article is well-structured, with a logical progression from the introduction of AI anthropomorphism to its implications for human interactions. However, some sections could benefit from improved clarity, particularly when discussing theoretical frameworks. Providing clearer definitions and examples of these theories would enhance the reader's understanding. Furthermore, integrating subheadings within the findings section could help organize the information more effectively, making it easier for readers to grasp key points.


Result Analysis

The result analysis presents a balanced view of the implications of AI anthropomorphism, emphasizing both the potential benefits, such as increased empathy and communication, and the risks of over-dependence on AI. However, the article could delve deeper into specific examples or case studies that illustrate these findings in real-world contexts. Additionally, discussing potential strategies for mitigating the negative effects of AI reliance on social interactions would provide practical insights for practitioners and researchers alike. This would enrich the analysis and contribute to a more comprehensive understanding of the topic.

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done sir

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IJ Publication

Reviewer

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Balachandar Ramalingam

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Paper Category

Computer Engineering

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Journal Name

JETIR - Journal of Emerging Technologies and Innovative Research

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p-ISSN

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e-ISSN

2349-5162

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