ReviewPerspectives on psychological science : a journal of the Association for Psychological Science2023
A Call to Action on Assessing and Mitigating Bias in Artificial Intelligence Applications for Mental Health.
Review in Perspectives on psychological science : a journal of the Association for Psychological Science, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 81 papers, 6 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
81 citing papers in PubMed, 6 syntheses or guidelines pooled it, 204 citations in OpenAlex.
- Effectiveness of Chatbots in Mental Health Screening and Assessment: Systematic Review.JMIR mental health · 2026Pooled it
- The Emerging Roles of AI in Self-Directed Stress Management: Systematic Review.Journal of medical Internet research · 2026Pooled it
- The Algorithmic Divide: A Systematic Review on AI-Driven Racial Disparities in Healthcare.Journal of racial and ethnic health disparities · 2026Pooled it
- Moving beyond gender: a systematic review of diversity data gaps in prospective trauma research.European journal of psychotraumatology · 2025Pooled it
- Sustainability of AI-Assisted Mental Health Intervention: A Review of the Literature from 2020-2025.International journal of environmental research and public health · 2025Pooled it
- Evaluating Generative AI in Mental Health: Systematic Review of Capabilities and Limitations.JMIR mental health · 2025Pooled it
- Clinician Perceptions of AI in Care: Cross-Sectional Survey.JMIR formative research · 2026Article
- A scoping review on the mental health harms of LLM-based chatbots.NPJ digital medicine · 2026Article
- Whose Truth Is Ground Truth?: Consequences of Label Choice on Machine Learning Models Predicting Depression.Research square · 2026Article
- Examining the Roles of Technology Across the Health Care Journey for Individuals With Obsessive-Compulsive Disorder: Qualitative Interview Study.Journal of medical Internet research · 2026Article
- Digital doppelgangers in psychiatry.Discover mental health · 2026Review
- Scalable, context-sensitive psychiatric assessment with large language models and brief diaries.Psychological medicine · 2026Article
- An AI Perspective on Counseling Supervision.Behavioral sciences (Basel, Switzerland) · 2026Review
- Linguistic Comparison of AI- and Human-Written Responses to Online Mental Health Queries.NPJ artificial intelligence · 2026Article
- Thinking Critically About Algorithms for Automated Detection of Behavior: 11 Guidelines for Social and Behavioral Scientists.Developmental science · 2026Article
- Computational Analysis of Expressive Behavior in Clinical Assessment.Annual review of clinical psychology · 2026Review
- The Kids FACE FEARS Pragmatic Randomized Trial of Therapist-Led vs Guided Internet Cognitive Behavioral Therapy for Pediatric Anxiety: Rationale and Methods.JAACAP open · 2026Article
- A data-centric approach to detecting and mitigating demographic bias in pediatric mental health text.Communications medicine · 2026Article
- Evaluation of large language models in emergency medicine scenarios: a comparative analysis of ChatGPT-4o, ChatGPT-o3mini, Gemini 2.0-pro, and DeepSeek-R1.BMC emergency medicine · 2026Article
- Developing a Suicide Risk Prediction Algorithm Using Electronic Health Record Data in Mental Health Care: Real-World Case Study.JMIR medical informatics · 2026Article
21 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors at 4 institutions in 1 country.
Funding
Abstract
Advances in computer science and data-analytic methods are driving a new era in mental health research and application. Artificial intelligence (AI) technologies hold the potential to enhance the assessment, diagnosis, and treatment of people experiencing mental health problems and to increase the reach and impact of mental health care. However, AI applications will not mitigate mental health disparities if they are built from historical data that reflect underlying social biases and inequities. AI models biased against sensitive classes could reinforce and even perpetuate existing inequities if these models create legacies that differentially impact who is diagnosed and treated, and how effectively. The current article reviews the health-equity implications of applying AI to mental health problems, outlines state-of-the-art methods for assessing and mitigating algorithmic bias, and presents a call to action to guide the development of
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.