Department of Psychology, Harvard University, 33 Kirkland St, Cambridge, MA, 02138, USA.
Adm Policy Ment Health. 2020 Sep;47(5):852-855. doi: 10.1007/s10488-020-01056-9.
Leonard Bickman's article on the future of artificial intelligence (AI) in psychotherapy research paints an encouraging picture of the progress to be made in this field. We support his perspective, but we also offer some cautionary notes about the boost AI can provide. We suggest that AI is not likely to transform psychotherapy research or practice to the degree seen in pharmacology and medicine because the factors that contribute to treatment response in these realms differ so markedly from one another, and in ways that do not favor advances in psychotherapy. Despite this limitation, it seems likely that AI will have a beneficial impact, improving empirical analysis through data-driven model development, tools for addressing the limitations of traditional regression methods, and novel means of personalizing treatment. In addition, AI has the potential to augment the reach of the researcher and therapist by expanding our ability to gather data and deliver interventions beyond the confines of the lab or clinical office.
伦纳德·比克曼（Leonard Bickman）关于人工智能（AI）在心理治疗研究中的未来的文章描绘了这一领域取得进展的令人鼓舞的前景。我们支持他的观点，但也对人工智能能提供的推动力提出了一些警告。我们认为，人工智能不太可能像在药理学和医学领域那样彻底改变心理治疗研究或实践，因为导致这些领域治疗反应的因素彼此之间差异显著，并且不利于心理治疗的进步。尽管存在这种局限性，但人工智能似乎很有可能产生有益的影响，通过数据驱动的模型开发改善实证分析，为解决传统回归方法的局限性提供工具，并为个性化治疗提供新方法。此外，人工智能有可能通过扩大我们收集数据和提供干预措施的能力，超越实验室或临床办公室的限制，从而扩大研究人员和治疗师的影响力。
