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

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 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 View
  15. Viswanathan V, Parmar V, Madabhushi A. Towards equitable AI in oncology. Nature Reviews Clinical Oncology 2024 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

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. . View