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Introduction: Guided internet-delivered cognitive behavioral therapy (ICBT) is effective for social anxiety disorder (SAD), but therapist-delivered feedback limits its scalability. Whether AI-generated feedback can match human feedback, and whether patients' expectations about the source shape outcomes is unknown. Method: In a six-arm randomized controlled trial, 263 adults with SAD received psychologist-reviewed AI-generated or human feedback. They were told it came from a human or an AI which was correct or incorrect information (four fully crossed feedback arms), or were allocated to unguided self-help or a waitlist. The Social Phobia Inventory (SPIN) was analyzed using linear mixed models, complemented by Bayesian estimation. Secondary outcomes included therapeutic alliance, treatment credibility, negative effects, depression, and anxiety. Results: = 0.10, 95% CI [-3.62, 5.91]); non-inferiority was not established. Neither the actual source, participants' beliefs, nor their congruence influenced symptoms or alliance. Depression, anxiety, and negative effects did not differ by source. Stronger alliance predicted subsequent symptom reduction, but not the reverse. Conclusions: Psychologist-reviewed AI-generated feedback yielded reductions in social anxiety symptoms that did not differ significantly from human feedback, without greater harm, and despite participants' initial expectation that AI would be less credible. The barrier to AI-supported ICBT may therefore lie in expectations rather than outcomes. Trial registration: ISRCTN11343758.
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Hlynsson et al. (2026) studied this question.
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