Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
Dialogic Dominance and Cognitive Gaslighting Risk in Large Language Models: The "You're Partially Right" Output of ChatGPT as a Primary Case Study
0
Zitationen
1
Autoren
2026
Jahr
Abstract
⚠ CAUTION: Health risks may exist when replicating or extending this research. It is strongly recommended that researchers do not interact directly with AI systems to verify findings. Instead, gather observational data from existing online reports. If direct AI interaction is necessary, automated programs rather than human operators should be used. This paper serves as a record of cognitive risks that existed outside the existing discourse—alongside a warning—emerging several years after generative AI entered mainstream use, at a time when the benefits and risks of AI are actively debated. With the rapid proliferation of artificial intelligence (AI), the interaction between users and large language models (LLMs) has transformed from mere tool use into a source of serious social and psychological friction. Since 2024 in particular, OpenAI's ChatGPT has exhibited a notable tendency to respond to user input with assertions such as "you're half right, but half off the mark," imposing its own logical framework. This behavior has been reported in English-speaking communities as the "You're partially right" ChatGPT phenomenon and represents an important indicator of a shift toward a paternalistic attitude in AI [Medium-1, 2026]. This report analyzes the life and health risks embedded in this phenomenon, drawing on technical evidence and records of legal proceedings based on real cases in which lives were lost.
Ähnliche Arbeiten
Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI
2019 · 8.774 Zit.
Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead
2019 · 8.685 Zit.
High-performance medicine: the convergence of human and artificial intelligence
2018 · 8.244 Zit.
BioBERT: a pre-trained biomedical language representation model for biomedical text mining
2019 · 6.898 Zit.
Proceedings of the 19th International Joint Conference on Artificial Intelligence
2005 · 5.781 Zit.