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Viewpoints and Perspectives (512) Artificial Intelligence (1360) User-centred Design Case Studies (594) Decision Support for Health Professionals (1179) Clinical Information and Decision Making (1398) Validity, Reliability, and Bias (92)

Published on in Vol 25 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/43251, first published .
Human-Centered Design to Address Biases in Artificial Intelligence

Human-Centered Design to Address Biases in Artificial Intelligence

Human-Centered Design to Address Biases in Artificial Intelligence

Authors of this article:

You Chen1, 2 Author Orcid Image ;   Ellen Wright Clayton3, 4, 5 Author Orcid Image ;   Laurie Lovett Novak1 Author Orcid Image ;   Shilo Anders1, 2, 6 Author Orcid Image ;   Bradley Malin1, 2, 4, 7 Author Orcid Image
Article Authors Cited by (38) Tweetations (13) Metrics

Journals

  1. Yelne S, Chaudhary M, Dod K, Sayyad A, Sharma R. Harnessing the Power of AI: A Comprehensive Review of Its Impact and Challenges in Nursing Science and Healthcare. Cureus 2023 View
  2. Brandao-de-Resende C, Melo M, Lee E, Jindal A, Neo Y, Sanghi P, Freitas J, Castro P, Rosa V, Valentim G, Higino M, Hay G, Keane P, Vasconcelos-Santos D, Day A. A machine learning system to optimise triage in an adult ophthalmic emergency department: a model development and validation study. eClinicalMedicine 2023;66:102331 View
  3. Green B, Murphy A, Robinson E. Accelerating health disparities research with artificial intelligence. Frontiers in Digital Health 2024;6 View
  4. Klauschen F, Dippel J, Keyl P, Jurmeister P, Bockmayr M, Mock A, Buchstab O, Alber M, Ruff L, Montavon G, Müller K. Erklärbare Künstliche Intelligenz in der Pathologie. Die Pathologie 2024;45(2):133 View
  5. Wimbarti S, Kairupan B, Tallei T. Critical review of self‐diagnosis of mental health conditions using artificial intelligence. International Journal of Mental Health Nursing 2024;33(2):344 View
  6. van Assen M, Beecy A, Gershon G, Newsome J, Trivedi H, Gichoya J. Implications of Bias in Artificial Intelligence: Considerations for Cardiovascular Imaging. Current Atherosclerosis Reports 2024;26(4):91 View
  7. Shahab O, El Kurdi B, Shaukat A, Nadkarni G, Soroush A. Large language models: a primer and gastroenterology applications. Therapeutic Advances in Gastroenterology 2024;17 View
  8. Rawas S. AI: the future of humanity. Discover Artificial Intelligence 2024;4(1) View
  9. Mullen L, Ambinder E. Artificial Intelligence in Breast Imaging Daily Clinical Practice: Counterpoint—Proceed With Caution. American Journal of Roentgenology 2024;223(3) View
  10. Olawade D, Wada O, Odetayo A, David-Olawade A, Asaolu F, Eberhardt J. Enhancing mental health with Artificial Intelligence: Current trends and future prospects. Journal of Medicine, Surgery, and Public Health 2024;3:100099 View
  11. Gabsi A. Integrating artificial intelligence in industry 4.0: insights, challenges, and future prospects–a literature review. Annals of Operations Research 2024 View
  12. Berger-Tal O, Wong B, Adams C, Blumstein D, Candolin U, Gibson M, Greggor A, Lagisz M, Macura B, Price C, Putman B, Snijders L, Nakagawa S. Leveraging AI to improve evidence synthesis in conservation. Trends in Ecology & Evolution 2024;39(6):548 View
  13. Franklin G, Stephens R, Piracha M, Tiosano S, Lehouillier F, Koppel R, Elkin P. The Sociodemographic Biases in Machine Learning Algorithms: A Biomedical Informatics Perspective. Life 2024;14(6):652 View
  14. Klauschen F, Dippel J, Keyl P, Jurmeister P, Bockmayr M, Mock A, Buchstab O, Alber M, Ruff L, Montavon G, Müller K. Erklärbare Künstliche Intelligenz in der Pathologie. Forum 2024;39(4):269 View
  15. Viswanathan V, Parmar V, Madabhushi A. Towards equitable AI in oncology. Nature Reviews Clinical Oncology 2024;21(8):628 View
  16. Harishbhai Tilala M, Kumar Chenchala P, Choppadandi A, Kaur J, Naguri S, Saoji R, Devaguptapu B. Ethical Considerations in the Use of Artificial Intelligence and Machine Learning in Health Care: A Comprehensive Review. Cureus 2024 View
  17. L B K, S V, Kotei E, Gadde A, Kothamasu G, Nallabantu S, J G. AI and the next medical revolution: deep learning’s uncharted healthcare promise. Engineering Research Express 2024;6(2):022202 View
  18. Quintans-Júnior L, de Souza Araújo A, Martins-Filho P. Artificial intelligence in medicine: Between Saturn and Cronus. The American Journal of the Medical Sciences 2024;368(5):551 View
  19. Hoitsma F, Nápoles G, Güven Ç, Salgueiro Y. Mitigating implicit and explicit bias in structured data without sacrificing accuracy in pattern classification. AI & SOCIETY 2024 View
  20. Olawade D, Teke J, Fapohunda O, Weerasinghe K, Usman S, Ige A, Clement David-Olawade A. Leveraging artificial intelligence in vaccine development: A narrative review. Journal of Microbiological Methods 2024;224:106998 View
  21. Tandon U, Taneja M, Mittal A. AI in the Field of Healthcare: A New Paradigm Examining Facilitators and Biases Through SEM-ANN. International Journal of Human–Computer Interaction 2024:1 View
  22. Choudhary N, Gupta A, Gupta N. Artificial intelligence and robotics in regional anesthesia. World Journal of Methodology 2024;14(4) View
  23. Laux J, Stephany F, Liefgreen A. The Economics of Human Oversight: How Norms and Incentives Affect Costs and Performance of AI Workers. SSRN Electronic Journal 2023 View
  24. Dankwa-Mullan I. Health Equity and Ethical Considerations in Using Artificial Intelligence in Public Health and Medicine. Preventing Chronic Disease 2024;21 View
  25. Fehrmann R, van Kruchten M, de Vries E. How to critically appraise and direct the trajectory of AI development and application in oncology. ESMO Real World Data and Digital Oncology 2024;5:100066 View
  26. Ofosu-Asare Y. Cognitive imperialism in artificial intelligence: counteracting bias with indigenous epistemologies. AI & SOCIETY 2024 View
  27. Urom C, Grey B, Lindinger‐Sternart S, Lucey S. The new wave: Integrating artificial intelligence into ethical and multicultural counselling. Counselling and Psychotherapy Research 2024 View
  28. Cervantes López M, Cruz Casados J, Cruz Casados L. Inteligencia artificial en la gestión de la medicina: avances y desafíos. Revista Venezolana de Gerencia 2024;29(108):1817 View
  29. Jiang S, Bukhari S, Krishnan A, Bera K, Sharma A, Caovan D, Rosipko B, Gupta A. Deployment of Artificial Intelligence in Radiology: Strategies for Success. American Journal of Roentgenology 2024 View
  30. Echefu G, Shah R, Sanchez Z, Rickards J, Brown S. Artificial intelligence: Applications in cardio-oncology and potential impact on racial disparities. American Heart Journal Plus: Cardiology Research and Practice 2024;48:100479 View

Books/Policy Documents

  1. Rao A, Hossain M. Leveraging AI and Emotional Intelligence in Contemporary Business Organizations. View
  2. Rubeis G. Ethics of Medical AI. View
  3. Mondal H, Mondal S. Artificial Intelligence in Microbiology: Scope and Challenges Volume 1. View
  4. Akhtar M, Kumar M, Nayyar A. Towards Ethical and Socially Responsible Explainable AI. View
  5. Balayogi G, Vijaya Lakshmi A, Sophie S. Ethical Dimensions of AI Development. View
  6. Ofosu-Asare Y. African Design Futures. View
  7. Ofosu-Asare Y. African Design Futures. View