Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
Balancing promise and concern in AI therapy: a critical perspective on early evidence from the MIT–OpenAI RCT
4
Zitationen
5
Autoren
2025
Jahr
Abstract
The emergence of AI therapy chatbots has the potential to reduce the widening gap between the huge demand for psychological support today and the limited availability of professional care. However, some scholars and clinicians are warning that the integration of these chatbots could paradoxically lead to negative outcomes, such as dependence, loneliness, and depression. Recently, a joint research team from MIT and OpenAI conducted a four-week Randomized Controlled Trial (RCT), reporting that "<i>while participants on average were less lonely after the study… extended daily interactions with AI chatbots can reinforce negative psychosocial outcomes</i>". Considering the substantial public and academic attention that followed the preprint publication of this RCT, it is crucial to examine the strength of the evidence and the validity of its interpretation before drawing firm conclusions. In this commentary, we offer a careful and appreciative review of this well-designed and timely study. Nonetheless, we argue that due to key analytical limitations, the findings do not substantiate claims of harmful effects. Given the transformative potential of AI-based interventions, we urge caution in interpreting early findings and offer practical guidance for future research.
Ähnliche Arbeiten
Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI
2019 · 8.200 Zit.
Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead
2019 · 8.051 Zit.
High-performance medicine: the convergence of human and artificial intelligence
2018 · 7.416 Zit.
Proceedings of the 19th International Joint Conference on Artificial Intelligence
2005 · 5.776 Zit.
Peeking Inside the Black-Box: A Survey on Explainable Artificial Intelligence (XAI)
2018 · 5.410 Zit.