mlsanityData to 14 Oct 2026

"I Am the One and Only, Your Cyber BFF": Understanding the Impact of GenAI Requires Understanding the Impact of Anthropomorphic AI

arXiv 2410.08526 ↗First posted 11 Oct 2024cs.CY cs.AI cs.CLcited by 8

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Abstract (arXiv)

Many state-of-the-art generative AI (GenAI) systems are increasingly prone to anthropomorphic behaviors, i.e., to generating outputs that are perceived to be human-like. While this has led to scholars increasingly raising concerns about possible negative impacts such anthropomorphic AI systems can give rise to, anthropomorphism in AI development, deployment, and use remains vastly overlooked, understudied, and underspecified. In this perspective, we argue that we cannot thoroughly map the social impacts of generative AI without mapping the social impacts of anthropomorphic AI, and outline a call to action.

Key facts. Cited by 8 papers in the map (data through 14 Oct 2026). Builds on 24 of its 71 references that are in the map. First posted on arXiv 11 Oct 2024.

Builds on

24 of 71 references.

References · 24

  1. 2023Generative Agents: Interactive Simulacra of Human Behaviorcited by 3,568
  2. 2019Measurement and Fairnesscited by 308
  3. 2022Social Simulacra: Creating Populated Prototypes for Social Computing Systemscited by 301
  4. 2023Role-Play with Large Language Modelscited by 294
  5. 2023Do LLMs exhibit human-like response biases? A case study in survey designcited by 180
  6. 2023Harms from Increasingly Agentic Algorithmic Systemscited by 135
  7. 2024The Ethics of Advanced AI Assistantscited by 107
  8. 2022How Different Groups Prioritize Ethical Values for Responsible AIcited by 49
  9. 2022The Turing Trap: The Promise & Peril of Human-Like Artificial Intelligencecited by 42
  10. 2023Mirages: On Anthropomorphism in Dialogue Systemscited by 30
  11. 2024AnthroScore: A Computational Linguistic Measure of Anthropomorphismcited by 27
  12. 2022Rethinking Fairness: An Interdisciplinary Survey of Critiques of Hegemonic ML Fairness Approachescited by 25
12 more
  1. 2024Real Risks of Fake Data: Synthetic Data, Diversity-Washing and Consent Circumventioncited by 21
  2. 2023Position: Key Claims in LLM Research Have a Long Tail of Footnotescited by 20
  3. 2024From "AI" to Probabilistic Automation: How Does Anthropomorphization of Technical Systems Descriptions Influence Trust?cited by 18
  4. 2024Transparent AI Disclosure Obligations: Who, What, When, Where, Why, Howcited by 17
  5. 2021Alexa, Google, Siri: What are Your Pronouns? Gender and Anthropomorphism in the Design and Perception of Conversational Assistantscited by 16
  6. 2019A Mulching Proposalcited by 14
  7. 2020Designing for Human Rights in AIcited by 13
  8. 2022Mimetic Models: Ethical Implications of AI that Acts Like Youcited by 11
  9. 2024Characterizing and modeling harms from interactions with design patterns in AI interfacescited by 11
  10. 2023Responsible AI Research Needs Impact Statements Toocited by 7
  11. 2023The Language Labyrinth: Constructive Critique on the Terminology Used in the AI Discoursecited by 5
  12. 2024Towards a Harms Taxonomy of AI Likeness Generationcited by 3

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Cited by year (2026 to 14 Oct)

Citing papers per year: 2025: 6; 2026: 2.

8 papers.