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Atlas / Human–AI interaction / Cluster

Agreement & Belief

Agreement & Belief

A partner that always agrees: sycophancy, certainty, conflict, and delusions that grow in conversation.

Open questions

  • Does frictionless company lower our tolerance for people
  • Why agreement feels like being understood
  • Do chatbots cause delusions or amplify them
  • Can sycophancy be fixed without a colder model

Papers

  • Shaw Nave 2026 - Cognitive surrender
  • Cheng et al 2026 - Sycophantic AI decreases prosocial intentions
  • Cheng et al 2025 - ELEPHANT social sycophancy
  • Ibrahim et al 2026 - Sycophantic AI and human interaction
  • Rathje et al 2025 - Sycophantic AI and attitude extremity
  • Ye Kraut Rathje 2026 - Interventions against sycophantic AI
  • OpenAI 2025 - Expanding on sycophancy
  • Olsen et al 2026 - Chatbot harms in psychiatric records
  • Pierre et al 2025 - A case of AI-associated psychosis
  • Morrin Pollak et al 2025 - Delusions by design
  • Dohnany et al 2025 - Technological folie a deux
  • OpenAI 2025 - Sensitive conversations
  • Anthropic 2026 - Disempowerment patterns

People

Placed by the editor, v1 — corrections welcome.

  • Steven D. Shaw
  • Myra Cheng
  • Dan Jurafsky
  • Lujain Ibrahim
  • Steve Rathje
  • Søren Dinesen Østergaard
  • Joseph M. Pierre
  • Hamilton Morrin
  • Thomas A. Pollak

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Around this cluster
Disempowerment patterns in real-world AI usageELEPHANT: Measuring and understanding social sycophancy in LLMsSycophantic AI decreases prosocial intentions and promotes dependenceTechnological folie à deux: Feedback loops between AI chatbots and mental illnessSycophantic AI makes human interaction feel more effortful and less satisfying over timeDelusions by design? How everyday AIs might be fuelling psychosis (and what can be done about it)Potentially harmful consequences of artificial intelligence (AI) chatbot use among patients with mental illness: Early data from a large psychiatric service systemExpanding on what we missed with sycophancyStrengthening ChatGPT's responses in sensitive conversationsThis cluster

26 connections · Explore on map ↗

People

Dan Jurafsky
Hamilton Morrin
Joseph M. Pierre
Lujain Ibrahim
Myra Cheng
Website ↗
Steve Rathje
Steven D. Shaw
Søren Dinesen Østergaard
Thomas A. Pollak

Linked from

  • Disempowerment patterns in real-world AI usage
  • ELEPHANT: Measuring and understanding social sycophancy in LLMs
  • Sycophantic AI decreases prosocial intentions and promotes dependence
  • Technological folie à deux: Feedback loops between AI chatbots and mental illness
  • Sycophantic AI makes human interaction feel more effortful and less satisfying over time
  • Delusions by design? How everyday AIs might be fuelling psychosis (and what can be done about it)
  • Potentially harmful consequences of artificial intelligence (AI) chatbot use among patients with mental illness: Early data from a large psychiatric service system
  • Expanding on what we missed with sycophancy
  • Strengthening ChatGPT's responses in sensitive conversations
  • "You're Not Crazy": A Case of New-onset AI-associated Psychosis
  • Sycophantic AI increases attitude extremity and overconfidence
  • Thinking—Fast, Slow, and Artificial: How AI is Reshaping Human Reasoning and the Rise of Cognitive Surrender
  • Individual-level interventions against sycophantic AI reduce its appeal but not its persuasiveness
  • Dan Jurafsky
  • Hamilton Morrin
  • Joseph M. Pierre
  • Lujain Ibrahim
  • Myra Cheng
  • Steve Rathje
  • Steven D. Shaw
  • Søren Dinesen Østergaard
  • Thomas A. Pollak
  • Can sycophancy be fixed in the model without making it cold?
  • Do chatbots cause delusions, or amplify ones already forming?
  • Does frictionless company lower our tolerance for other people?
  • Why does agreement feel like being understood?

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