Aug 2026· Behavioral Science· Vol 16· 0 citations· 95 references
Medicine
TL;DR
Evidence suggests that purpose-built chatbot coaching systems may have some benefits as they are generally well received and can support short-term motivation and selected behavior change, but effects for sustained, meaningful outcomes are inconsistent.
Abstract
The last decade has seen a rapid increase in individuals turning to artificial intelligence (AI) for advice related to their personal development, especially with the introduction of general-purpose large language models (LLMs) to the general public in 2022. This narrative review examines the potential benefits and risks of using AI for coaching purposes in educational and health contexts. Given that empirical studies on using general-purpose LLMs in these domains remain limited, this paper first synthesizes findings from purpose-built coaching chatbots designed to perform specific tasks that facilitate personal development in these domains and discusses limitations associated with studies that use older versions of chatbots. The reviewed evidence suggests that purpose-built chatbot coaching systems may have some benefits as they are generally well received and can support short-term motivation and selected behavior change, but effects for sustained, meaningful outcomes are inconsistent. We then reflect on the potential risks of using general-purpose LLMs as a coach without appropriate human oversight, by reviewing features of general-purpose LLMs, such as sycophancy, accuracy, and problematic patterns of use. Synthesizing these findings, we consider their implications before identifying potential directions for future research.
A list of eight best practices was created to assist developers with designing AI systems in a way that would reduce the overall risk of harm for users attempting to use their AI for mental health cases.
Joshua Frankenfield, Briana M. Sobel, Barbara Chaparro· Proceedings of the Internati...· 0 citations
Artificial intelligence is best understood as an amplifier of pedagogy, rather than a replacement for teachers or human judgment, and its benefits are conditional on AI literacy, transparent governance, and equitable access.
D. Bîrsan· Journal of Non-Formal and Di...· 0 citations
This critical narrative review synthesizes evidence from the past decade on AI dependency among college students, focusing on conceptualizations, theoretical frameworks, prevalence and demographic variations, measurement tools, determinants, intervention strategies, and research gaps.
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Overall, the study suggests that, from the perspective of the surveyed professionals, AI is contributing to the reconfiguration of language-service practices, while reinforcing the continued importance of human judgement, linguistic expertise, ethical responsibility, and critical engagement with AI-generated outputs.
C. Tavares, Luciana Oliveira, Rosalinda Neves· Societies· 0 citations
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Omaliko J. C., Onwuama O. P.· Journal For Family & Soc...· 0 citations
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