Can Artificial Intelligence Improve Psychotherapy Research and Practice?

被引:12
|
作者
Horn, Rachel L. [1 ]
Weisz, John R. [1 ]
机构
[1] Harvard Univ, Dept Psychol, 33 Kirkland St, Cambridge, MA 02138 USA
关键词
Artificial intelligence; Psychotherapy; Methodological limitations; Machine learning;
D O I
10.1007/s10488-020-01056-9
中图分类号
R19 [保健组织与事业(卫生事业管理)];
学科分类号
摘要
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.
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页码:852 / 855
页数:4
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