Artificial intelligence and psychotherapy: A counterpoint.
Psychotherapy practice is a human endeavour. Research on the specific and non‐specific factors of treatment has helped crystallise its relevance and clinical impact. The challenges currently faced by the field revolve around ensuring access to evidence‐based treatments and enhancing their effectiven...
| Publicado en: | Counselling & Psychotherapy Research Vol. 25; no. 1; pp. 1 - 7 |
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| Formato: | Journal Article |
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Wiley-Blackwell
Mar2025
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=183991315&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 183991315 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 14733145 TFX jtl: Counselling & Psychotherapy Research issn: 14733145 maglogo: Y pubinfo: dt: Mar2025 vid: 25 iid: 1 pid: 480 pub: Wiley-Blackwell place: Malden, Massachusetts artinfo: ui: 183991315 176672265 10.1002/capr.12758 183991315 ppf: 1 ppct: 6 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: Artificial intelligence and psychotherapy: A counterpoint. aug: au: Richards, Derek affil: Amwell Science, Dublin, Ireland sug: subj: Psychotherapy Methods Artificial Intelligence Utilization Emotions Humanism Research, Medical Machine Learning Methods Decision Making Counseling Research Methodology ab: Psychotherapy practice is a human endeavour. Research on the specific and non‐specific factors of treatment has helped crystallise its relevance and clinical impact. The challenges currently faced by the field revolve around ensuring access to evidence‐based treatments and enhancing their effectiveness. Digitally delivered formats of empirically supported treatments increase access while supporting the relevance of the treatment‐specific ingredients and the necessity for human guidance. Excitement surrounds the potential integration of novel artificial intelligence (AI) machine learning methods to advance psychotherapy effectiveness. The abundance of data in digitally delivered formats positions them well to harness the capabilities of AI. Recent work provides proof of concept in areas including detection and diagnosis, predicting outcomes, treatment adherence, remission and relapse. A potential risk emerges when applying machine learning methods, in which an overreliance on AI inferences may overshadow the human aspect of psychotherapy. The contrast is simple: we may over‐invest in the rationality and relevance of our AI inferences, blindly obeying the algorithmic counsel that may lead to unintended consequences, such as oversimplifying human complexity. This would amount to changing psychotherapy from a human‐centric to a techno‐centric endeavour, something we should steadily avoid. This perspective highlights the importance of balancing enthusiasm for AI advancements with a cautious approach. The discussion outlines the risks associated with overdependence on AI and provides reasons to avoid a scenario in which psychotherapy loses its human essence. In conclusion, the perspective suggests avenues for future research to prevent such a transformation and maintain the human‐centric nature of psychotherapy. pubtype: Academic Journal doctype: Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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