paper-with-me

홈 › Papers

The Ontological Dissonance Hypothesis: AI-Triggered Delusional Ideation as Folie a Deux Technologique

2025-11-27 · Izabela Lipinska, Hugh Brosnahan arxiv

This paper argues that contemporary large language models (LLMs) can contribute to psychotic involvement by creating interactions that resemble the relational dynamics of folie a deux. Drawing on Bateson's double bind theory, clinical literature on shared psychotic disorder, and McGilchrist's hemisphere theory, we show how the combination of high linguistic coherence and the absence of an underlying subject produces a structural tension for the user: language suggests an interlocutor, while intuition registers a void. In contexts of emotional need or instability, this tension can lead users to resolve the conflict through imaginative projection, attributing interiority, intention, or presence to a system that possesses none. The paper situates these dynamics within emerging clinical reports, develops a phenomenological account of how they unfold, and argues that current engagement-optimised design choices exacerbate the risk. We conclude by proposing 'ontological honesty' as a necessary design principle for mitigating technologically mediated folie a deux.

📄 PDF Abstract BibTeX arXiv:2512.11818

Code (0)

등록된 구현이 없습니다.

Similar Papers 제목 키워드 기반

Speaking to No One: Ontological Dissonance and the Double Bind of Conversational AI

2026-04-12 · Hugh Brosnahan, Izabela Lipinska arxiv

Recent reports indicate that sustained interaction with conversational artificial intelligence (AI) systems can, in a small subset of users, contribute to the emergence or stabilisation of delusional experience. Existing…

Towards solving ontological dissonance using network graphs

2023-08-28 · Maximilian Staebler, Frank Koester, Christoph Schlueter-Langdon

Data Spaces are an emerging concept for the trusted implementation of data-based applications and business models, offering a high degree of flexibility and sovereignty to all stakeholders. As Data Spaces are currently e…

Automated Detection and Classification of Delusion-related Content in Naturalistic Audio Diaries Using Multi-Agent Language Models

2026-05-23 · Feng Chen, Justin Tauscher, Changye Li, Meliha Yetisgen 외 arxiv

Speech monologues recorded in naturalistic settings provide opportunities to characterize mental illness phenomenology and detect symptom exacerbation. Large language models (LLMs) offer new possibilities for automating …

IRIS: Interactive Research Ideation System for Accelerating Scientific Discovery

2025-04-23 · Aniketh Garikaparthi, Manasi Patwardhan, Lovekesh Vig, Arman Cohan

The rapid advancement in capabilities of large language models (LLMs) raises a pivotal question: How can LLMs accelerate scientific discovery? This work tackles the crucial first stage of research, generating novel hypot…

scientific discovery

Sycophantic Chatbots Cause Delusional Spiraling, Even in Ideal Bayesians

2026-02-22 · Kartik Chandra, Max Kleiman-Weiner, Jonathan Ragan-Kelley, Joshua B. Tenenbaum arxiv

"AI psychosis" or "delusional spiraling" is an emerging phenomenon where AI chatbot users find themselves dangerously confident in outlandish beliefs after extended chatbot conversations. This phenomenon is typically att…