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;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 2025;40(4):2551 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 2025;40(4):3045 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 2025;25(1) 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 2025;224(2) 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
  31. Bukke S, Komarla Kumarachari R, Komarla Rajasekhar E, Dudekula J, Kamati M. Computational intelligence techniques for achieving sustainable development goals in female cancer care. Discover Sustainability 2024;5(1) View
  32. Collins B, Bélisle-Pipon J, Evans B, Ferryman K, Jiang X, Nebeker C, Novak L, Roberts K, Were M, Yin Z, Ravitsky V, Coco J, Hendricks-Sturrup R, Williams I, Clayton E, Malin B. Addressing ethical issues in healthcare artificial intelligence using a lifecycle-informed process. JAMIA Open 2024;7(4) View
  33. Tandon A, Cobb B, Centra J, Izmailova E, Manyakov N, McClenahan S, Patel S, Sezgin E, Vairavan S, Vrijens B, Bakker J. Human Factors, Human-Centered Design, and Usability of Sensor-Based Digital Health Technologies: Scoping Review. Journal of Medical Internet Research 2024;26:e57628 View
  34. Wagner J, Cabrera L, Gerke S, Susser D, Yoon D. Synthetic data and ELSI-focused computational checklists—A survey of biomedical professionals’ views. PLOS Digital Health 2024;3(11):e0000666 View
  35. Goktas P, Kucukkaya A, Karaçay P. Exploring the Exciting Possibilities of Visual ChatGPT in Pressure Injury Care: Time for Change?. Advances in Skin & Wound Care 2024;37(11&12):1 View
  36. Patel J, Hung C, Katapally T. Evaluating predictive artificial intelligence approaches used in mobile health platforms to forecast mental health symptoms among youth: a systematic review. Psychiatry Research 2025;343:116277 View
  37. Trotsyuk A, Waeiss Q, Bhatia R, Aponte B, Heffernan I, Madgavkar D, Felder R, Lehmann L, Palmer M, Greely H, Wald R, Goetz L, Trengove M, Vandersluis R, Lin H, Cho M, Altman R, Endy D, Relman D, Levi M, Satz D, Magnus D. Toward a framework for risk mitigation of potential misuse of artificial intelligence in biomedical research. Nature Machine Intelligence 2024;6(12):1435 View
  38. Chen Y, Lehmann C, Malin B. Digital Information Ecosystems in Modern Care Coordination and Patient Care Pathways and the Challenges and Opportunities for AI Solutions. Journal of Medical Internet Research 2024;26:e60258 View
  39. Raea S, Almotairi K, Alharbi A, Almutairi G, Alhassun A, Binselm K, Alruqaie R, Albalawi B, Alyamani A, Alamri B, Alharbi M, Alsulami A, Albather M, Alfawzan I. Ethical considerations in the use of patient medical records for research. International journal of health sciences 2023;7(S1):3829 View
  40. Hutson J, Fulcher B, Ratican J. Enhancing Assessment and Feedback in Game Design Programs. IJERI: International Journal of Educational Research and Innovation 2024;(22):1 View
  41. Gauckler C, Werner M. Artificial Intelligence: A Challenge to Scientific Communication. Klinische Monatsblätter für Augenheilkunde 2024;241(12):1309 View
  42. Yuan H. Clinical decision making: Evolving from the hypothetico‐deductive model to knowledge‐enhanced machine learning. Medicine Advances 2024;2(4):375 View
  43. Romero C, Subardjo R. AI-Enhanced Health Counseling: A Futuristic Approach to Holistic Well-Being. Bincang Sains dan Teknologi 2024;3(03):97 View
  44. Samajdar S, Chatterjee R, Mukherjee S, Dey A, Saboo B, Pal J, Joshi S, Chatterjee N. Artificial Intelligence in Healthcare: Current Trends and Future Directions. Current Medical Issues 2025;23(1):53 View
  45. Sood A, Moyer A, Jahangiri P, Mar D, Nitichaikulvatana P, Ramreddy N, Stolyar L, Lin J. Evaluation of the Reliability of ChatGPT to Provide Guidance on Recombinant Zoster Vaccination for Patients With Rheumatic and Musculoskeletal Diseases. JCR: Journal of Clinical Rheumatology 2025;31(4):156 View
  46. Nelson J, Kaplan J, Simerly G, Nutter N, Edson-Heussi A, Woodham B, Broman-Fulks J. The balance and integration of artificial intelligence within cognitive behavioral therapy interventions. Current Psychology 2025;44(9):7847 View
  47. Bhattacharjee S, Bhattacharya S. Leveraging AI-driven nudge theory to enhance hand hygiene compliance: paving the path for future infection control. Frontiers in Public Health 2025;12 View
  48. Mohd Amin M, Ismail I, Sivakumaran V. Revolutionizing Education with Artificial Intelligence (AI)? Challenges, and Implications for Open and Distance Learning (ODL). Social Sciences & Humanities Open 2025;11:101308 View
  49. Khattak F, Subasri V, Krishnan A, Pou-Prom C, Akinli-Kocak S, Dolatabadi E, Pandya D, Seyyed-Kalantari L, Rudzicz F. MLHOps: Machine Learning Health Operations. IEEE Access 2025;13:20374 View
  50. Bhavnani S, Zhang W, Bao D, Raji M, Ajewole V, Hunter R, Kuo Y, Schmidt S, Pappadis M, Smith E, Bokov A, Reistetter T, Visweswaran S, Downer B. Subtyping Social Determinants of Health in the "All of Us" Program: Network Analysis and Visualization Study. Journal of Medical Internet Research 2025;27:e48775 View
  51. Smith M, Zalesky C, Lee S, Gottlieb M, Adhikari S, Goebel M, Wegman M, Garg N, Lam S. Artificial Intelligence in Emergency Medicine: A Primer for the Nonexpert. JACEP Open 2025;6(2):100051 View
  52. Mercer K, Weaver K, Mehlenbacher A, Virdi M. Do we trust ourselves? Is the human the weak link?. IFLA Journal 2025;51(3):570 View
  53. Buchan M, Katapally T, Bhawra J. Application of an Innovative Methodology to Build Infrastructure for Digital Transformation of Health Systems: Developmental Program Evaluation. JMIR Formative Research 2025;9:e53339 View
  54. Lacmanovic S, Skare M. Artificial intelligence bias auditing – current approaches, challenges and lessons from practice. Review of Accounting and Finance 2025;24(3):375 View
  55. Koçak B, Ponsiglione A, Stanzione A, Bluethgen C, Santinha J, Ugga L, Huisman M, Klontzas M, Cannella R, Cuocolo R. Bias in artificial intelligence for medical imaging: fundamentals, detection, avoidance, mitigation, challenges, ethics, and prospects. Diagnostic and Interventional Radiology 2024 View
  56. Bevilacqua R, Bailoni T, Maranesi E, Amabili G, Barbarossa F, Ponzano M, Virgolesi M, Rea T, Illario M, Piras E, Lenge M, Barbi E, Sakellariou G. Framing the Human-Centered Artificial Intelligence Concepts and Methods: Scoping Review. JMIR Human Factors 2025;12:e67350 View
  57. Tiwari A, Farag H. Responsible AI Framework for Autonomous Vehicles: Addressing Bias and Fairness Risks. IEEE Access 2025;13:58800 View
  58. Doğan H. Artificial Intelligence in Academic Education: An Opportunity for Social Work?. Anemon Muş Alparslan Üniversitesi Sosyal Bilimler Dergisi 2025;13(1):184 View
  59. Yeung J, Ho K, Cheung J, Tsang J, Chong D. Artificial intelligence-based technology in communication training in nursing education: A scoping review. Journal of Professional Nursing 2025;59:40 View
  60. Paik S, Novozhilova E, Mays K, Katz J. Who Benefits from AI? Examining Different Demographics' Fairness Perceptions across Personal, Work, and Public Life. Discover Artificial Intelligence 2025;5(1) View
  61. Peeples M, Saunders M, Scher L, Drago L, Macleod J. Employ Artificial Intelligence to Advance Diabetes Cardiometabolic Care. ADCES in Practice 2025;13(4):12 View
  62. Tzimourta K. Human-Centered Design and Development in Digital Health: Approaches, Challenges, and Emerging Trends. Cureus 2025 View
  63. Laux J, Stephany F, Liefgreen A. Better pay, clearer guidance: Investing in the working conditions of artificial intelligence data workers. Big Data & Society 2025;12(2) View
  64. Hussain S, Bresnahan M, Zhuang J. Can artificial intelligence revolutionize healthcare in the Global South? A scoping review of opportunities and challenges. DIGITAL HEALTH 2025;11 View
  65. Haykal D, Goldust M, Cartier H, Treacy P. AI in humanitarian healthcare: a game changer for crisis response. Frontiers in Artificial Intelligence 2025;8 View
  66. Yang N, Khanna G. AI and Technology in Grief Support: Clinical Implications and Ethical Considerations. The Counseling Psychologist 2025;53(4):579 View
  67. Wang T, Emami E, Jafarpour D, Tolentino R, Gore G, Rahimi S, Kuo P. Integrating equity, diversity, and inclusion throughout the lifecycle of artificial intelligence for healthcare: a scoping review. PLOS Digital Health 2025;4(7):e0000941 View
  68. Mastrangelo Gittler A, Lam S. Decision Making and Decision Support During the Design of Healthcare Facilities: A Systematic Review. Buildings 2025;15(14):2474 View
  69. Wenderott K, Krups J, Weigl M, Wooldridge A. Facilitators and Barriers to Implementing AI in Routine Medical Imaging: Systematic Review and Qualitative Analysis. Journal of Medical Internet Research 2025;27:e63649 View
  70. Segura-Cedres M, Manzano-Farray D, Aguiar-Castillo C, Perez-Jimenez R, Guerra-Yanez V. An Ontology Proposal for Implementing Digital Twins in Hospitality: The Case of Front-End Services. Sensors 2025;25(14):4504 View
  71. Jensen V, Jørgensen M, Jensen R, Lange J, Wolff J, Høybye M. Ethics in Danish healthcare AI policy: A document analysis. International Journal of Medical Informatics 2025;204:106065 View
  72. Voutsa M, Tsapatsoulis N, Djouvas C. Biased by Design? Evaluating Bias and Behavioral Diversity in LLM Annotation of Real-World and Synthetic Hotel Reviews. AI 2025;6(8):178 View
  73. Shiroma K, Miller J. Representation of Rural Older Adults in AI for Health Research: Systematic Literature Review. JMIR Human Factors 2025;12:e70057 View
  74. Taheri Hosseinkhani N. Economic Evaluation of Artificial Intelligence Integration in Global Healthcare: Balancing Costs, Outcomes, and Investment Value. SSRN Electronic Journal 2025 View
  75. Mahamadou A, Trotsyuk A. Revisiting Technical Bias Mitigation Strategies. Annual Review of Biomedical Data Science 2025;8(1):287 View
  76. Zhong J, Mo Y, Zhang J, Liu P, Luo X, Liu L, Ding R, Huang J, Zheng Y. Beyond anger: uncovering complex emotional patterns between cyberbullying roles through affective computing and epistemic network analysis. Humanities and Social Sciences Communications 2025;12(1) View
  77. Liu Z, Dong S, Zeng W, Wang Y, Niu D. Exploring the impact of human-centred AI on firms’ social and operational performance: A large language model approach. Transportation Research Part E: Logistics and Transportation Review 2025;203:104381 View
  78. Mastrodicasa D, van Assen M. Artificial intelligence for cardiac imaging is ready for widespread clinical use: Pro Con debate AI for cardiac imaging. BJR|Open 2024;7(1) View
  79. Mohammad A. The Impact of Artificial Intelligence on the Daily Responsibilities of Family Doctors: A Comprehensive Review of Current Knowledge. Journal of Community Medicine and Health Solutions 2025:067 View
  80. Arghode V, Nafukho F. Emotionally intelligent and ethically grounded AI: reimagining learning and development in the digital age. European Journal of Training and Development 2025 View
  81. Masalonis A, Nelson C, Reinerman-Jones L, Krush W, Fashakin F, Hayes-Watson C. Trust, Security, and Regulatory Compliance in AI: Literature and Practical Experience, and the Way Forward for AI in Healthcare. Proceedings of the International Symposium on Human Factors and Ergonomics in Health Care 2025;14(1):1 View
  82. Ricchezze G, Tomassini L, Bacci M. Ethical Reflections on Integrating Artificial Intelligence in Care Practices. Community Health Equity Research & Policy 2025 View
  83. Baghbani S, Mehrabi Y, Movahedinia M, Babaeinejad E, Joshaghanian M, Amiri S, Shahrezaee M. The revolutionary impact of artificial intelligence in orthopedics: comprehensive review of current benefits and challenges. Journal of Robotic Surgery 2025;19(1) View
  84. Dwivedi A. Why AI Cannot Be an Agent of Equality: A Critique of Technological Utopianism and the Category Error of Algorithmic Justice. Emerging Media 2025;3(3):428 View
  85. Carwright N, Biel F, Hoopes M, Bataineh A, Rivera P, Bet K, Cook N. Identifying Firearm Violence Exposure in Primary Care Clinical Notes: Protocol for Developing a National Language Processing Text Classifier. JMIR Research Protocols 2025;14:e76681 View
  86. Hammad M, Rahamaddulla S, Muhamad Tamyez P, Fauzi M. From Industry 4.0 to 5.0: leveraging AI and IoT for sustainable and human-centric operations. International Journal of Industrial Engineering and Operations Management 2025:1 View
  87. De Matas J. Reprograming the Narrative Machine: Toward a Decolonial Ethics of Artificial Intelligence in Global Health. Emerging Media 2025;3(3):451 View
  88. Caminero A, Tropini C, Valles-Colomer M, Shung D, Gibbons S, Surette M, Sokol H, Tomeo N, Alenghat T, Awoniyi M, Di Rienzi S, Grinspan A, Hoffmann D, Holtz L, Hecht A, Kashyup P, Loomba R, Ranallo R, Reyes Muñoz A, Pimentel M, Nguyen L, Clark M, Tarr P, Verdu E. Credible inferences in microbiome research: ensuring rigour, reproducibility and relevance in the era of AI. Nature Reviews Gastroenterology & Hepatology 2025 View
  89. Jarrahi M, Li L, Robinson A, Meng S. Generative AI and the augmentation of information practices in knowledge work. Behaviour & Information Technology 2025:1 View
  90. Pelka O, Sigle S, Werner P, Schweizer S, Iancu A, Scherer L, Kamzol N, Eil J, Apfelbacher T, Seletkov D, Susetzky T, May M, Bucher A, Fegeler C, Boeker M, Braren R, Prokosch H, Nensa F. Democratizing AI in Healthcare with Open Medical Inference (OMI): Protocols, Data Exchange, and AI Integration. RöFo - Fortschritte auf dem Gebiet der Röntgenstrahlen und der bildgebenden Verfahren 2025 View
  91. Nizamani M, Zhang H, Lai Z. Human-centered AI: advancing ethical, transparent, and context-aware systems for sustainable development. Technology in Society 2026;84:103121 View
  92. Chen G, Yu Z, Xie Y, Liu Z, Yu C. The study of human-AI Co-creation design under generative artificial intelligence: cognition, process, method, and outcome. Journal of Engineering Design 2025:1 View
  93. Maheshwari A, Sarkar A, Misra S. Comparative analysis of human-generated versus Artificial Intelligence-drafted summary paragraphs for medical student performance evaluations. Medical Teacher 2025:1 View
  94. Mendelevich V, Galyautdinov G, Zhidyaevskij A, Andrianov A, Kichatov S. Digital transformation in psychiatry: is artificial intelligence changing approaches to diagnosis and treatment of mental disorders?. Neurology Bulletin 2025;LVII(3):199 View
  95. Eskandar K. Artificial intelligence in aesthetic and reconstructive surgery: Clinical applications, ethical challenges, and future trends. Сибирский научный медицинский журнал 2025;45(5):147 View
  96. Mikaeili N, Naeim M, Narimani M. Reimagining Mental Health with Artificial Intelligence: Early Detection, Personalized Care, and a Preventive Ecosystem. Journal of Multidisciplinary Healthcare 2025;Volume 18:7355 View
  97. Carter L, Stone-Jovicich S, Bohensky E, Coates R, Douglas D, Ferrer-Mestres J, Harwood B, Islam M, Kandanaarachchi S, McGrath M, Ong C, Paris C, Reeson A, Scovell M, Wissing K, Chades I. Lessons from the Edges of Interdisciplinarity - Integrating Artificial Intelligence with the Humanities, Social and Economic Sciences. Applied Artificial Intelligence 2025;39(1) View
  98. Liang Q, Zhao J, Yang F, Chen X, Song Y, Shi Z, Pang Q. Face2Bone explainable AI model predicts osteoporosis risk from facial images in proof of concept study. Scientific Reports 2025;15(1) View
  99. Clayton E, Rose S, Nebecker C, Novak L, Bensoussan Y, Chen Y, Collins B, Cordes A, Evans B, Ferryman K, Hurst S, Jiang X, Lee A, McWeeney S, Parker J, Bélisle-Pipon J, Rosenthal E, Yin Z, Yracheta J, Malin B, Evans N, Chandrasekharan S, Goldberg I, McWeeney S. Biomedical data repositories require governance for artificial intelligence/machine learning applications at every step. JAMIA Open 2025;8(6) View
  100. Rajpoot K. Role of Artificial Intelligence in Nanomedicine and Organ-specific Therapy: An Updated Review. Current Drug Targets 2025;26(13):921 View
  101. Hu D, Navas D, Gaube S, Mozannar H, Taylor M, Dvijotham K, Bondi‐Kelly E. Human at the Center: A Framework for Human‐Driven AI Development. AI Magazine 2025;46(4) 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
  8. Asrifan A, Susanto A, Elpisah E, Saodi S, Herlina H. Teachers' Roles and Perspectives on AI Integration in Schools. View
  9. Risi E, Briziarelli M, Mohammad Y. Understanding Generative AI in a Cultural Context. View
  10. Piazzoli A. Socio-economic Impact of Artificial Intelligence. View
  11. Urban H. Digital Health, AI and Generative AI in Healthcare. View
  12. Norris S, Resmini A, Lund J, Lindberg S. HCI International 2025 Posters. View
  13. Jafar A, Shabnam S, Khan A. AI in Mental Health. View
  14. Converso G, Gallo M, Popolo V, Rozhok A. Proceedings of LLEAHMM 2024. View
  15. Usman N, Kusumanegara A, Husnaini H, Said Y, Ismayanti D. Advancing Society 5.0 Through AI-Driven Curriculum Innovation. View
  16. Ghildiyal V, Sharma H, Kuruva M. Web 3.0 Unleashed. View
  17. Gaur L, Abraham A. Generative Artificial Intelligence and Ethics for Healthcare. View
  18. Syed M, Chauhan V, Mathur B, Goyal S, Narad P, Sengupta A. Artificial Intelligence and Blockchain in Precision Medicine and Virology. View

Conference Proceedings

  1. Chen C, Liao M, Sundar S. Proceedings of the Second International Symposium on Trustworthy Autonomous Systems. When to Explain? Exploring the Effects of Explanation Timing on User Perceptions and Trust in AI systems View
  2. Jose N, Deshpande R, Yalagi P, Praveen R, Rohini V, D S. 2025 11th International Conference on Communication and Signal Processing (ICCSP). Mind Fusion: Utilizing the Mixstyle Neural Networks in Constructing Mental Health Diagnosis and Therapy for Individual Patient View
  3. Chamaidi T, Charoupia H, Stavrakis M. Proceedings of the 3rd International Conference of the ACM Greek SIGCHI Chapter. More-than-a-prediction: reframing AI's role in more-than-human design of interactions View
  4. Umbreen J, Abbas S, Ahmad Y, Naseem A, Mirza M. 2025 4th International Conference on Communication, Computing and Digital Systems (C-CODE). Exploring Human-Centered Design Barriers in AI Powered MVPs: A Study from Emerging Market Startups View