Abstract
Psychotherapy is a conversational intervention that has relied on humans to manage its implementation. Improvements in conversational artificial intelligence (AI) have accompanied speculation on how technologies might automate components of psychotherapy, most often the replacement of human therapists. However, there is a spectrum of opportunities for human collaboration with autonomous systems in psychotherapy, including evaluation, documentation, training, and assistance. Clarity about what is being automated is necessary to understand the affordances and limitations of specific technologies. In this article we present a framework for categories of autonomous systems in psychotherapy as a guidepost for empirical and ethical inquiry. Categories include scripted or rule-based conversations; collaborative systems in which humans are evaluated by, supervise, or are assisted by AI; and agents that generate interventions. These categories highlight considerations for key stakeholders as psychotherapy moves from unmediated human-to-human conversation to various forms of automation.
| Original language | English |
|---|---|
| Journal | Current Directions in Psychological Science |
| Early online date | 7 Nov 2025 |
| DOIs | |
| State | E-pub ahead of print - 7 Nov 2025 |
Bibliographical note
Publisher Copyright:© The Author(s) 2025
Keywords
- automation
- machine learning
- psychotherapy
Fingerprint
Dive into the research topics of 'A Framework for Automation in Psychotherapy'. Together they form a unique fingerprint.Cite this
- APA
- Author
- BIBTEX
- Harvard
- Standard
- RIS
- Vancouver