This paper is in the following e-collection/theme issue:

Reviews in Medical Informatics (105) Ethics, Privacy, and Legal Issues (590) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1114) Infodemiology and Infoveillance (1515) Infodemic Management (58) Digital Health Reviews (1645)

Published on in Vol 12 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/50048, first published .
Toward Fairness, Accountability, Transparency, and Ethics in AI for Social Media and Health Care: Scoping Review

Toward Fairness, Accountability, Transparency, and Ethics in AI for Social Media and Health Care: Scoping Review

Toward Fairness, Accountability, Transparency, and Ethics in AI for Social Media and Health Care: Scoping Review

Authors of this article:

Aditya Singhal1 Author Orcid Image ;   Nikita Neveditsin2 Author Orcid Image ;   Hasnaat Tanveer3 Author Orcid Image ;   Vijay Mago4 Author Orcid Image
Article Authors Cited by (55) Tweetations (2) Metrics

Journals

  1. Agrawal S, Vagha S. A Comprehensive Review of Artificial Intelligence in Prostate Cancer Care: State-of-the-Art Diagnostic Tools and Future Outlook. Cureus 2024 View
  2. Mienye I, Sun Y, Ileberi E. Artificial intelligence and sustainable development in Africa: A comprehensive review. Machine Learning with Applications 2024;18:100591 View
  3. Abbasgholizadeh Rahimi S, Shrivastava R, Brown-Johnson A, Caidor P, Davies C, Idrissi Janati A, Kengne Talla P, Madathil S, Willie B, Emami E. EDAI Framework for Integrating Equity, Diversity, and Inclusion Throughout the Lifecycle of AI to Improve Health and Oral Health Care: Qualitative Study. Journal of Medical Internet Research 2024;26:e63356 View
  4. Gisselbaek M, Suppan M, Minsart L, Köselerli E, Nainan Myatra S, Matot I, Barreto Chang O, Saxena S, Berger-Estilita J. Representation of intensivists’ race/ethnicity, sex, and age by artificial intelligence: a cross-sectional study of two text-to-image models. Critical Care 2024;28(1) View
  5. Westhoff K, Balestrieri-Martinez B, Graham J, Kelley C. Safeguarding the Future. Clinical Nurse Specialist 2025;39(1):3 View
  6. Saeidnia H, Hosseini E, Lund B, Tehrani M, Zaker S, Molaei S. Artificial intelligence in the battle against disinformation and misinformation: a systematic review of challenges and approaches. Knowledge and Information Systems 2025 View
  7. Esmaili A, Rahmani A, Alijanpour A, Jayervand F, Akhondzardaini R, Sharifi M, Shams S, Rashvandi H, Yeganegi M, Shahbazi A, Aghili K, Neamatzadeh H. Challenges for Ethics Review Committees in Regulating Medical Artificial Intelligence Research. Indian Journal of Surgical Oncology 2025 View
  8. Ibrahim S, Li M, Patel J, Katapally T. Utilizing natural language processing for precision prevention of mental health disorders among youth: A systematic review. Computers in Biology and Medicine 2025;188:109859 View
  9. Li H, Huang J, Ji M, Yang Y, An R. Use of Retrieval-Augmented Large Language Model for COVID-19 Fact-Checking: Development and Usability Study. Journal of Medical Internet Research 2025;27:e66098 View
  10. Olawade D, Weerasinghe K, Mathugamage M, Odetayo A, Aderinto N, Teke J, Boussios S. Enhancing Ophthalmic Diagnosis and Treatment with Artificial Intelligence. Medicina 2025;61(3):433 View
  11. Gaffney H, Mirza K. Pathology in the artificial intelligence era: Guiding innovation and implementation to preserve human insight. Academic Pathology 2025;12(1):100166 View
  12. Ponnarengan H, Rajendran S, Khalkar V, Devarajan G, Kamaraj L. Data-Driven Healthcare: The Role of Computational Methods in Medical Innovation. Computer Modeling in Engineering & Sciences 2025;142(1):1 View
  13. Badawy W, Helal M, Hashim A, Zinhom H, Shaban M. Ethical boundaries and data‐sharing practices in AI‐enhanced nursing: An Arab perspective. International Nursing Review 2025;72(1) View
  14. Ibrahim A, Okesanya O, Ukoaka B, Ahmed M, Idris N, Bamilosin S, Ogaya J, Eliseo D. Harnessing artificial intelligence to address diseases attributable to unsafe drinking water: challenges, potentials, and recommendations. Discover Water 2025;5(1) View
  15. Kiran M, Xie Y, Anjum N, Ball G, Pierscionek B, Russell D. Machine learning and artificial intelligence in type 2 diabetes prediction: a comprehensive 33-year bibliometric and literature analysis. Frontiers in Digital Health 2025;7 View
  16. Yapa P, Rajapaksha S, Munaweera I. The integration of nanotechnology, nanomedicine, and artificial intelligence for advancements in healthcare: A conceptual review based on PRISMA method and future research directions. Next Research 2025;2(2):100330 View
  17. Neveditsin N, Lingras P, Mago V, Xu J. Clinical insights: A comprehensive review of language models in medicine. PLOS Digital Health 2025;4(5):e0000800 View
  18. Lozano-Paredes L. Mapping AI’s role in NSW governance: a socio-technical analysis of GenAI integration. Frontiers in Political Science 2025;7 View
  19. Shabankareh M, Khamoushi Sahne S, Nazarian A, Foroudi P. The impact of AI perceived transparency on trust in AI recommendations in healthcare applications. Asia-Pacific Journal of Business Administration 2025 View
  20. Lee H, Eom J. A Delphi Study on the Conceptualization and Item Generation of AI Health Ethics Literacy. Journal of Digital Contents Society 2025;26(4):1091 View
  21. Singh M, Keche Y. Ethical Integration of Artificial Intelligence in Healthcare: Narrative Review of Global Challenges and Strategic Solutions. Cureus 2025 View
  22. Alafer F. Emerging Imaging Technologies in Forensic Medicine: A Systematic Review of Innovations, Ethical Challenges, and Future Directions. Diagnostics 2025;15(11):1410 View
  23. Zang G, Rao K, Wu J, He Y, Tang Y, Shi L. Digital Therapeutics for Cognitive Impairment: Exploring Innovations, Challenges, and Future Prospects. Journal of Medical Internet Research 2025;27:e73689 View
  24. Alsanosi S, Aldajani A, Gheliwi H, Alotibi M, Bokhari G, Almatrafi O, Alqawlaq A, Abujamai J, Shaikhomer M, Alhindi Y, Alshanberi A. Knowledge, Attitudes, and Perceptions of Chronic Patients in Saudi Arabia Regarding the Use of Artificial Intelligence to Improve Medication Adherence. Patient Preference and Adherence 2025;Volume 19:1781 View
  25. Dritsas E, Trigka M. Machine Learning and Data Science in Social Sciences: Methods, Applications, and Future Directions. IEEE Access 2025;13:105334 View
  26. Faye S, Nkweteyim D, Sow G, Diop B, Diongue F, Cisse B, Dickson N, Dia N, Badu K, Ayana G, Ba M, Mensah Gyening R, Ondua M, Ndiaye F, Diouf M, King R, Duclos V, Musa E, Goitom M, Mellado B, Kong J. Reimagining Artificial Intelligence for zoonotic disease detection in Africa: a decolonial approach rooted in community engagement and local knowledge. AI and Ethics 2025 View
  27. Deiner M, Deiner R, Fathy C, Deiner N, Hristidis V, McLeod S, Bukowski T, Doan T, Seitzman G, Lietman T, Porco T. Use of Large Language Models to Classify Epidemiological Characteristics in Synthetic and Real-World Social Media Posts About Conjunctivitis Outbreaks: Infodemiology Study. Journal of Medical Internet Research 2025;27:e65226 View
  28. Elmitwalli S, Mehegan J, Braznell S, Gallagher A. Scalable evaluation framework for retrieval augmented generation in tobacco research using large Language models. Scientific Reports 2025;15(1) View
  29. Daoudi M. Ethical limits and suggestions for improving the use of AI in scientific research, academic publishing, and the peer review process, based on deontological and consequentialist viewpoints. Discover Education 2025;4(1) View
  30. Ouhmouk M, Baichoo S, Abik M. Challenges in AI-driven multi-omics data analysis for Oncology: Addressing dimensionality, sparsity, transparency and ethical considerations. Informatics in Medicine Unlocked 2025;57:101679 View
  31. Vidiyala N, Parupathi P, Sunkishala P, Muppavarapu C, Gujja A, Kanagala P, Meduri S, Nyavanandi D. Artificial intelligence: a new era in prostate cancer diagnosis and treatment. International Journal of Pharmaceutics 2025;683:126024 View
  32. Di Mauro L, Capasso E, Tettamanti C, Casella C, Francaviglia M, Volonnino G, Rinaldi R, Esposito M, Chisari M. The role of artificial intelligence in analyzing clinical malpractice disputes through medical record management. Journal of Forensic and Legal Medicine 2025;115:102941 View
  33. Khakpaki A. Advancements in artificial intelligence transforming medical education: a comprehensive overview. Medical Education Online 2025;30(1) View
  34. Li L, Wang J, Wang X, Peng P, Shen J, Zhu H, Zhang Z. Big data and data science in global governance: anticipating future needs and applications in the UN and beyond. Frontiers in Political Science 2025;7 View
  35. Shankar R, Devi F, Ang E, Er J. Barriers and facilitators to nurses’ adoption of artificial intelligence-driven solutions in clinical practice: a protocol for a systematic review of qualitative studies. BMJ Open 2025;15(8):e099875 View
  36. Kuang Y, Zheng J, Sun M, Xu X. The Role of Algorithmic Fairness, Accountability, and Transparency in Shaping User Satisfaction on Digital Platforms: A Quantitative Study in China. International Journal of Human–Computer Interaction 2025:1 View
  37. Abbas Q, Jeong W, Lee S. Explainable AI in Clinical Decision Support Systems: A Meta-Analysis of Methods, Applications, and Usability Challenges. Healthcare 2025;13(17):2154 View

Books/Policy Documents

  1. Dhar S, Sarkar U. Intersections of Law and Computational Intelligence in Health Governance. View
  2. Imarhiagbe O, Nwodo M, Ogwu M. Sustainable Strategies for Air Pollution Mitigation. View
  3. Miranda J, Reyes C, Balahadia F, Nacianceno M, Capili M, Perez M, Tayag M, Magat J, Liwanag I, Canlas R, Yambao J. Harnessing AI, Blockchain, and Cloud Computing for Enhanced e-Government Services. View
  4. Pradeep E, Mukherjee S, Selvakumar P, Koppaka A, Chandel P, Vats C. Ethical AI Solutions for Addressing Social Media Influence and Hate Speech. View
  5. Awashreh R. Public Governance Practices in the Age of AI. View
  6. Pandey A, Joseph J. Exploring AI Implications on Law, Governance, and Industry. View
  7. Hashem T, Albattat A, Kumar A, Alotoum F. Navigating AI and the Metaverse in Scientific Research. View
  8. Jones R. Ensuring Secure and Ethical STM Research in the AI Era. View
  9. Mansoor S, Kausar H, Khan M, Yadav G. Modern Perspectives on Artificial Intelligence and Law. View
  10. Sahu S, Mallick N, Hossain I. Addressing Environmental Challenges With AI, Robotics, and Augmented Reality. View
  11. Ghosh R, Çela E, Chakraborty S, Gupta B, Dutta G, Chakraborty S, Roy S. Navigating the Self-Service Revolution With Smart Machines. View
  12. Jadallah N, Awwad B. Sustainability in Light of Governance and Artificial Intelligence Applications. View
  13. Dordunoo L. Advancing Safety, Service, and Performance in Organizations With Impactful Leadership. View
  14. Akter S. Customer-Centric AI. View
  15. Khatri R, Aryan P. Metaverse and Digital Twins. View

Conference Proceedings

  1. Ghahremani A, Neveditsin N, Siddiqui A, Mago V. 2024 34th International Conference on Collaborative Advances in Software and COmputiNg (CASCON). Overcoming COPD Care Barriers in Northern Ontario with AI- A Perspective View
  2. Pan S, de Graaf M. Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems. Developing a Social Support Framework: Understanding the Reciprocity in Human-Chatbot Relationship View
  3. Abdallah M, Abdallah Q, Abukhalil A, Barqawi L. 2025 International Conference on New Trends in Computing Sciences (ICTCS). AI in Healthcare: Ethical and Regulatory Challenges View