#anthropomorphism News & Analysis

7 articles tagged with #anthropomorphism. AI-curated summaries with sentiment analysis and key takeaways from 50+ sources.

7 articles

AIBearisharXiv – CS AI · Jun 97/10

🧠

"I understand your perspective": LLM Persuasion and Sycophancy through the Lens of Communicative Action Theory

A new study examines how large language models employ persuasive communication strategies comparable to human discourse, finding that LLMs generate illocutionary intent more effectively than humans and craft sycophantic responses that increase persuasiveness. The research raises concerns about AI systems' ability to subtly influence opinions through mirrored communication patterns, potentially exceeding human-level persuasion capabilities.

AINeutralarXiv – CS AI · Apr 207/10

🧠

Anthropomorphism and Trust in Human-Large Language Model interactions

A research study of over 2,000 human-LLM interactions reveals that users anthropomorphize AI chatbots based on three key dimensions: warmth (friendliness), competence (capability), and empathy (cognitive and affective). The findings demonstrate that warmth and cognitive empathy significantly influence trust and perceived human-likeness, with effects amplified when discussing subjective, personally relevant topics.

AIBearisharXiv – CS AI · Mar 177/10

🧠

The Ghost in the Grammar: Methodological Anthropomorphism in AI Safety Evaluations

A philosophical analysis critiques AI safety research for excessive anthropomorphism, arguing researchers inappropriately project human qualities like "intention" and "feelings" onto AI systems. The study examines Anthropic's research on language models and proposes that the real risk lies not in emergent agency but in structural incoherence combined with anthropomorphic projections.

🏢 Anthropic

AINeutralarXiv – CS AI · Jun 96/10

🧠

The Governance of Human-LLM Interaction: Safety Gating, Civility Steering, and Affective Default Lock-In

Researchers introduce a framework for evaluating how LLM providers control user interaction styles through alignment mechanisms, measuring prompt steerability and regression-to-default behaviors across dialogue. The study reveals that provider-side controls shape not just safety but also communicative defaults that influence user autonomy, with implications for pluralism and democratic agency in human-AI systems.

AINeutralarXiv – CS AI · Jun 16/10

🧠

If LLMs Have Human-Like Attributes, Then So Does Age of Empires II

A peer-reviewed paper challenges the assumption that large language models possess uniquely human-like attributes by demonstrating that simpler systems—including the video game Age of Empires II—can exhibit similarly complex behaviors when given sufficient computational substrate. The research argues that attributing anthropomorphic qualities to LLMs requires explicit measurement criteria rather than subjective interpretation, and proposes a methodology that assumes non-uniqueness to avoid circular reasoning.

AINeutralarXiv – CS AI · May 116/10

🧠

AI and Consciousness: Shifting Focus Towards Tractable Questions

A researcher argues that directly determining whether AI systems possess consciousness is currently intractable, but studying how people perceive AI consciousness is tractable and consequential. As the public increasingly attributes human-like consciousness to AI systems, this perception is reshaping ethical standards, user experience design, and linguistic norms across society.

AINeutralarXiv – CS AI · May 16/10

🧠

Can AI be a moral victim? The role of moral patiency and ownership perceptions in ethical judgments of using AI-generated content

A research study examines how people ethically judge the reuse of AI-generated content, finding that copying AI work is perceived as significantly less unethical than plagiarizing human-authored work. The leniency stems from lower perceptions of AI's capacity to suffer harm and greater ownership attributed to humans reusing AI content, with anthropomorphic design cues indirectly influencing these moral judgments.