A Call to Action on Assessing and Mitigating Bias in Artificial Intelligence Applications for Mental Health
Published 2022 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
A Call to Action on Assessing and Mitigating Bias in Artificial Intelligence Applications for Mental Health
Authors
Keywords
-
Journal
Perspectives on Psychological Science
Volume -, Issue -, Pages 174569162211344
Publisher
SAGE Publications
Online
2022-12-10
DOI
10.1177/17456916221134490
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Sensitive loss: Improving accuracy and fairness of face representations with discrimination-aware deep learning
- (2022) Ignacio Serna et al. ARTIFICIAL INTELLIGENCE
- iHealth: The ethics of artificial intelligence and big data in mental healthcare
- (2022) Giovanni Rubeis Internet Interventions-The Application of Information Technology in Mental and Behavioural Health
- Pandemic precarity: COVID-19 is exposing and exacerbating inequalities in the American heartland
- (2021) Brea L. Perry et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- Racial and Ethnic Disparities in the Prevalence of Stress and Worry, Mental Health Conditions, and Increased Substance Use Among Adults During the COVID-19 Pandemic — United States, April and May 2020
- (2021) Lela R. McKnight-Eily et al. MMWR-MORBIDITY AND MORTALITY WEEKLY REPORT
- Machine Learning in Clinical Psychology and Psychotherapy Education: A Mixed Methods Pilot Survey of Postgraduate Students at a Swiss University
- (2021) Charlotte Blease et al. Frontiers in Public Health
- A Survey on Bias and Fairness in Machine Learning
- (2021) Ninareh Mehrabi et al. ACM COMPUTING SURVEYS
- Technology‐mediated just‐in‐time adaptive interventions (JITAIs) to reduce harmful substance use: A systematic review
- (2021) Olga Perski et al. ADDICTION
- Implicit bias reflects systemic racism
- (2021) B. Keith Payne et al. TRENDS IN COGNITIVE SCIENCES
- Technology for Measuring and Monitoring Treatment Compliance Remotely
- (2021) Richard H. Christie et al. Journal of Parkinsons Disease
- Association between health literacy, general psychological factors, and adherence to medical treatment among Danes aged 50–80 years
- (2021) Subash Thapa et al. BMC Geriatrics
- Emergent Crisis of COVID-19 Pandemic: Mental Health Challenges and Opportunities
- (2021) Amir Radfar et al. Frontiers in Psychiatry
- Predicting Mental Health Treatment Access Among Adolescents With Elevated Depressive Symptoms: Machine Learning Approaches
- (2021) Mallory L. Dobias et al. Administration and Policy in Mental Health and Mental Health Services Research
- COVID-19 Mental Health Disparities
- (2021) Leia Y. Saltzman et al. Health Security
- Global prevalence and burden of depressive and anxiety disorders in 204 countries and territories in 2020 due to the COVID-19 pandemic
- (2021) Damian F Santomauro et al. LANCET
- Underdiagnosis bias of artificial intelligence algorithms applied to chest radiographs in under-served patient populations
- (2021) Laleh Seyyed-Kalantari et al. NATURE MEDICINE
- Evaluation of Feature Selection Methods for Mammographic Breast Cancer Diagnosis in a Unified Framework
- (2021) Chun-jiang Tian et al. Biomed Research International
- Race bias and gender bias in the diagnosis of psychological disorders
- (2021) Howard N. Garb CLINICAL PSYCHOLOGY REVIEW
- Digital biomarkers of anxiety disorder symptom changes: Personalized deep learning models using smartphone sensors accurately predict anxiety symptoms from ecological momentary assessments
- (2021) Nicholas C. Jacobson et al. BEHAVIOUR RESEARCH AND THERAPY
- Considerations of diversity, equity, and inclusion in mental health apps: A scoping review of evaluation frameworks
- (2021) Giovanni Ramos et al. BEHAVIOUR RESEARCH AND THERAPY
- The Ethics of Psychological Artificial Intelligence: Clinical Considerations
- (2021) Russell Fulmer et al. Counseling and Values
- Can we trust AI not to further embed racial bias and prejudice?
- (2020) Poppy Noor BMJ-British Medical Journal
- Fair AI
- (2020) Stefan Feuerriegel et al. Business & Information Systems Engineering
- COVID-19 and Racial/Ethnic Disparities
- (2020) Monica Webb Hooper et al. JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION
- Racial disparities in automated speech recognition
- (2020) Allison Koenecke et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- Evaluating and dismantling an intervention aimed at increasing white people’s knowledge and understanding of racial justice issues.
- (2020) Alissa L. Hochman et al. AMERICAN JOURNAL OF ORTHOPSYCHIATRY
- The four dimensions of contestable AI diagnostics - A patient-centric approach to explainable AI
- (2020) Thomas Ploug et al. ARTIFICIAL INTELLIGENCE IN MEDICINE
- Artificial intelligence and neuropsychological measures: The case of Alzheimer’s disease
- (2020) Petronilla Battista et al. NEUROSCIENCE AND BIOBEHAVIORAL REVIEWS
- Chemical signals from eggs facilitate cryptic female choice in humans
- (2020) John L. Fitzpatrick et al. PROCEEDINGS OF THE ROYAL SOCIETY B-BIOLOGICAL SCIENCES
- COVID-19 and mental health equity in the United States
- (2020) Jonathan Purtle SOCIAL PSYCHIATRY AND PSYCHIATRIC EPIDEMIOLOGY
- Precision Medicine, AI, and the Future of Personalized Health Care
- (2020) Kevin B. Johnson et al. CTS-Clinical and Translational Science
- The Effects of Explainability and Causability on Perception, Trust, and Acceptance: Implications for Explainable AI
- (2020) Full Professor Donghee Shin INTERNATIONAL JOURNAL OF HUMAN-COMPUTER STUDIES
- Welcoming new guidelines for AI clinical research
- (2020) Eric J. Topol NATURE MEDICINE
- Call to Action: Structural Racism as a Fundamental Driver of Health Disparities: A Presidential Advisory From the American Heart Association
- (2020) Keith Churchwell et al. CIRCULATION
- An empirical characterization of fair machine learning for clinical risk prediction
- (2020) Stephen R. Pfohl et al. JOURNAL OF BIOMEDICAL INFORMATICS
- Artificial Intelligence in mental health and the biases of language based models
- (2020) Isabel Straw et al. PLoS One
- Ethno-cultural disparities in mental health during the COVID-19 pandemic: a cross-sectional study on the impact of exposure to the virus and COVID-19-related discrimination and stigma on mental health across ethno-cultural groups in Quebec (Canada)
- (2020) Diana Miconi et al. BJPsych Open
- Machine Learning and Natural Language Processing in Mental Health: Systematic Review
- (2020) Aziliz Le Glaz et al. JOURNAL OF MEDICAL INTERNET RESEARCH
- Big data approaches to decomposing heterogeneity across the autism spectrum
- (2019) Michael V. Lombardo et al. MOLECULAR PSYCHIATRY
- Machine learning in mental health: a scoping review of methods and applications
- (2019) Adrian B. R. Shatte et al. PSYCHOLOGICAL MEDICINE
- A systematic review of just-in-time adaptive interventions (JITAIs) to promote physical activity
- (2019) Wendy Hardeman et al. International Journal of Behavioral Nutrition and Physical Activity
- Your Robot Therapist Will See You Now: Ethical Implications of Embodied Artificial Intelligence in Psychiatry, Psychology, and Psychotherapy
- (2019) Amelia Fiske et al. JOURNAL OF MEDICAL INTERNET RESEARCH
- Big data and machine learning algorithms for health-care delivery
- (2019) Kee Yuan Ngiam et al. LANCET ONCOLOGY
- The Heterogeneity Problem: Approaches to Identify Psychiatric Subtypes
- (2019) Eric Feczko et al. TRENDS IN COGNITIVE SCIENCES
- Racial differences in performance of HbA 1c for the classification of diabetes and prediabetes among US adults of non‐Hispanic black and white race
- (2019) C. N. Ford et al. DIABETIC MEDICINE
- Dissecting racial bias in an algorithm used to manage the health of populations
- (2019) Ziad Obermeyer et al. SCIENCE
- Artificial Intelligence for Mental Health and Mental Illnesses: an Overview
- (2019) Sarah Graham et al. Current Psychiatry Reports
- Back to the Future: Achieving Health Equity Through Health Informatics and Digital Health
- (2019) LaPrincess C Brewer et al. JMIR mHealth and uHealth
- Machine Learning Approaches for Clinical Psychology and Psychiatry
- (2018) Dominic B. Dwyer et al. Annual Review of Clinical Psychology
- A Pervasive Approach to EEG-Based Depression Detection
- (2018) Hanshu Cai et al. COMPLEXITY
- Ten-year prediction of suicide death using Cox regression and machine learning in a nationwide retrospective cohort study in South Korea
- (2018) Soo Beom Choi et al. JOURNAL OF AFFECTIVE DISORDERS
- Transforming clinical practice guidelines and clinical pathways into fast-and-frugal decision trees to improve clinical care strategies
- (2018) Benjamin Djulbegovic et al. JOURNAL OF EVALUATION IN CLINICAL PRACTICE
- Increasing equity in access to mental health care: a critical first step in improving service quality
- (2018) Margarita Alegría et al. World Psychiatry
- Identifying Suicide Ideation and Suicidal Attempts in a Psychiatric Clinical Research Database using Natural Language Processing
- (2018) Andrea C. Fernandes et al. Scientific Reports
- mHealth Technology Use and Implications in Historically Underserved and Minority Populations in the United States: Systematic Literature Review
- (2018) Charkarra Anderson-Lewis et al. JMIR mHealth and uHealth
- The accuracy, fairness, and limits of predicting recidivism
- (2018) Julia Dressel et al. Science Advances
- Using Mobile Health Gamification to Facilitate Cognitive Behavioral Therapy Skills Practice in Child Anxiety Treatment: Open Clinical Trial
- (2018) Gede Pramana et al. JMIR SERIOUS GAMES
- Just-in-time adaptive interventions: A novel approach for enhancing skill utilization and acquisition in cognitive behavioral therapy for eating disorders
- (2018) Adrienne S. Juarascio et al. INTERNATIONAL JOURNAL OF EATING DISORDERS
- Potential Biases in Machine Learning Algorithms Using Electronic Health Record Data
- (2018) Milena A. Gianfrancesco et al. JAMA Internal Medicine
- A Naturalistic Study of Racial Disparities in Diagnoses at an Outpatient Behavioral Health Clinic
- (2018) Michael A. Gara et al. PSYCHIATRIC SERVICES
- Effects of telemonitoring on glycaemic control and healthcare costs in type 2 diabetes: A randomised controlled trial
- (2017) Robin Warren et al. JOURNAL OF TELEMEDICINE AND TELECARE
- Natural language processing in mental health applications using non-clinical texts
- (2017) RAFAEL A. CALVO et al. Natural Language Engineering
- The Unified Protocol for Transdiagnostic Treatment of Emotional Disorders Compared With Diagnosis-Specific Protocols for Anxiety Disorders
- (2017) David H. Barlow et al. JAMA Psychiatry
- What is the economic evidence for mHealth? A systematic review of economic evaluations of mHealth solutions
- (2017) Sarah J. Iribarren et al. PLoS One
- Actigraph measures discriminate pediatric bipolar disorder from attention-deficit/hyperactivity disorder and typically developing controls
- (2016) Gianni L. Faedda et al. JOURNAL OF CHILD PSYCHOLOGY AND PSYCHIATRY
- Treatment engagement of individuals experiencing mental illness: review and update
- (2016) Lisa B. Dixon et al. World Psychiatry
- Information Processing Biases in the Brain: Implications for Decision-Making and Self-Governance
- (2016) Anthony W. Sali et al. Neuroethics
- Mobile Sensing and Support for People With Depression: A Pilot Trial in the Wild
- (2016) Fabian Wahle et al. JMIR mHealth and uHealth
- Machine learning approaches for integrating clinical and imaging features in late-life depression classification and response prediction
- (2015) Meenal J. Patel et al. INTERNATIONAL JOURNAL OF GERIATRIC PSYCHIATRY
- Artificial intelligence approach to classify unipolar and bipolar depressive disorders
- (2015) Turker Tekin Erguzel et al. NEURAL COMPUTING & APPLICATIONS
- Building Predictive Models inRUsing thecaretPackage
- (2015) Max Kuhn Journal of Statistical Software
- Lower health literacy predicts smoking relapse among racially/ethnically diverse smokers with low socioeconomic status
- (2014) Diana W Stewart et al. BMC PUBLIC HEALTH
- The evolution of error: error management, cognitive constraints, and adaptive decision-making biases
- (2013) Dominic D.P. Johnson et al. TRENDS IN ECOLOGY & EVOLUTION
- A Systematic Review of the Impact of Adherence on the Effectiveness of e-Therapies
- (2011) Liesje Donkin et al. JOURNAL OF MEDICAL INTERNET RESEARCH
- Data preprocessing techniques for classification without discrimination
- (2011) Faisal Kamiran et al. KNOWLEDGE AND INFORMATION SYSTEMS
- The weirdest people in the world?
- (2010) Joseph Henrich et al. BEHAVIORAL AND BRAIN SCIENCES
- A WEIRD View of Human Nature Skews Psychologists' Studies
- (2010) D. Jones SCIENCE
- Sensitivity Analysis of k-Fold Cross Validation in Prediction Error Estimation
- (2009) J.D. Rodriguez et al. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
- Mental Health in the Context of Health Disparities
- (2008) Jeanne Miranda et al. AMERICAN JOURNAL OF PSYCHIATRY
- New Evidence Regarding Racial And Ethnic Disparities In Mental Health: Policy Implications
- (2008) Thomas G. McGuire et al. HEALTH AFFAIRS
Discover Peeref hubs
Discuss science. Find collaborators. Network.
Join a conversationBecome a Peeref-certified reviewer
The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.
Get Started