Bias in Artificial Intelligence

Dissecting racial bias in an algorithm used to manage the health of populations

Obermeyer, Z., Powers, B., Vogeli, C., & Mullainathan, S. (2019) · Science · doi:10.1126/science.aax2342 · Cited by 7,137 · see citing works

Legal and Ethical Consideration in Artificial Intelligence in Healthcare: Who Takes Responsibility?

Naik, N., Hameed, B. M. Z., Shetty, D. K., Swain, D., Shah, M., Paul, R., Aggarwal, K., Ibrahim, S., Patil, V., Smriti, K., et al. (2022) · Frontiers in Surgery · doi:10.3389/fsurg.2022.862322 · Cited by 931 · see citing works

Artificial Intelligence Trust, Risk and Security Management (AI TRiSM): Frameworks, applications, challenges and future research directions

Habbal, A., Ali, M. K., & Abuzaraida, M. A. (2024) · Expert Systems with Applications · doi:10.1016/j.eswa.2023.122442 · Cited by 407 · see citing works

Ethical, legal, and social considerations of AI-based medical decision-support tools: a scoping review

Čartolovni, A., Tomičić, A., & Lazić Mosler, E. (2022) · International Journal of Medical Informatics · doi:10.1016/j.ijmedinf.2022.104738 · Cited by 267 · see citing works

Opening the black box of artificial intelligence for clinical decision support: A study predicting stroke outcome

Zihni, E., Madai, V. I., Livne, M., Galinovic, I., Khalil, A. A., Fiebach, J. B., & Frey, D. (2020) · PLOS ONE · doi:10.1371/journal.pone.0231166 · Cited by 187 · see citing works

Twelve tips for addressing ethical concerns in the implementation of artificial intelligence in medical education

Franco D’Souza, R., Mathew, M., Mishra, V., & Surapaneni, K. M. (2024) · Medical Education Online · doi:10.1080/10872981.2024.2330250 · Cited by 147 · see citing works

Artificial Intelligence and User Experience in reciprocity: Contributions and state of the art

Virvou, M. K. (2023) · Intelligent Decision Technologies · doi:10.3233/idt-230092 · Cited by 137 · see citing works

A survey of recent methods for addressing AI fairness and bias in biomedicine

Yang, Y., Lin, M., Zhao, H., Peng, Y., Huang, F., & Lu, Z. (2024) · Journal of Biomedical Informatics · doi:10.1016/j.jbi.2024.104646 · Cited by 116 · see citing works

Traditional, complementary, and integrative medicine and artificial intelligence: Novel opportunities in healthcare

Ng, J. Y., Cramer, H., Lee, M. S., & Moher, D. (2024) · Integrative Medicine Research · doi:10.1016/j.imr.2024.101024 · Cited by 109 · see citing works

Responsible AI in Africa: Challenges and Opportunities

(2023) · Social and Cultural Studies of Robots and AI · doi:10.1007/978-3-031-08215-3 · Cited by 82 · see citing works

Evaluating Trustworthiness in AI: Risks, Metrics, and Applications Across Industries

Nastoska, A., Jancheska, B., Rizinski, M., & Trajanov, D. (2025) · Electronics · doi:10.3390/electronics14132717 · Cited by 110 · see citing works

Artificial intelligence applications implication for ESG performance: can digital transformation of enterprises promote sustainable development?

Chen, R., & Zhang, T. (2024) · Chinese Management Studies · doi:10.1108/cms-11-2023-0653 · Cited by 63 · see citing works

Augmented Intelligence: Surveys of Literature and Expert Opinion to Understand Relations Between Human Intelligence and Artificial Intelligence

Yau, K. A., Lee, H.-J., Chong, Y.-W., Ling, M. H., Syed, A. R., Wu, C., & Goh, H. G. (2021) · IEEE Access · doi:10.1109/access.2021.3115494 · Cited by 63 · see citing works

Reviewing the Potential Role of Artificial Intelligence in Delivering Personalized and Interactive Pain Medicine Education for Chronic Pain Patients

Robinson, C. L., D'Souza, R. S., Yazdi, C., Diejomaoh, E. M., Schatman, M. E., Emerick, T. D., & Orhurhu, V. (2024) · Journal of Pain Research · doi:10.2147/jpr.s439452 · Cited by 61 · see citing works

AI in Radiology: Navigating Medical Responsibility

Contaldo, M. T., Pasceri, G., Vignati, G., Bracchi, L., Triggiani, S., & Carrafiello, G. (2024) · Diagnostics · doi:10.3390/diagnostics14141506 · Cited by 54 · see citing works

For a critical appraisal of artificial intelligence in healthcare: The problem of bias in mHealth

Brault, N., & Saxena, M. (2020) · Journal of Evaluation in Clinical Practice · doi:10.1111/jep.13528 · Cited by 44 · see citing works

Inherent Bias in Artificial Intelligence-Based Decision Support Systems for Healthcare

Gurupur, V., & Wan, T. T. H. (2020) · Medicina · doi:10.3390/medicina56030141 · Cited by 42 · see citing works

Artificial Intelligence to Improve Health Outcomes in the NICU and PICU: A Systematic Review

Adegboro, C. O., Choudhury, A., Asan, O., & Kelly, M. M. (2021) · Hospital Pediatrics · doi:10.1542/hpeds.2021-006094 · Cited by 41 · see citing works

Science Without Conscience Is but the Ruin of the Soul: The Ethics of Big Data and Artificial Intelligence in Perioperative Medicine

Canales, C., Lee, C., & Cannesson, M. P. (2020) · Anesthesia & Analgesia · doi:10.1213/ane.0000000000004728 · Cited by 41 · see citing works

From Learning to Relearning: A Framework for Diminishing Bias in Social Robot Navigation

Hurtado, J. V., Londoño, L., & Valada, A. (2021) · Frontiers in Robotics and AI · doi:10.3389/frobt.2021.650325 · Cited by 42 · see citing works

Artificial Intelligence Bias in Health Care: Web-Based Survey

Vorisek, C. N., Stellmach, C., Mayer, P. J., Klopfenstein, S. A. I., Bures, D., Diehl, A., Henningsen, M., Ritter, K., & Thun, S. (2023) · Journal of Medical Internet Research · doi:10.2196/41089 · Cited by 38 · see citing works

Algor-ethics: charting the ethical path for AI in critical care

Montomoli, J., Bitondo, M. M., Cascella, M., Rezoagli, E., Romeo, L., Bellini, V., Semeraro, F. F., Gamberini, E., Frontoni, E., Agnoletti, V., et al. (2024) · Journal of Clinical Monitoring and Computing · doi:10.1007/s10877-024-01157-y · Cited by 41 · see citing works

Hurtful Words: Quantifying Biases in Clinical Contextual Word Embeddings

Zhang, H., Lu, A. X., Abdalla, M., McDermott, M., & Ghassemi, M. (2020) · arXiv · doi:10.48550/arxiv.2003.11515 · Cited by 37 · see citing works

Extending application of explainable artificial intelligence for managers in financial organizations

Sabharwal, R., Miah, S. J., Wamba, S. F., & Cook, P. G. (2024) · Annals of Operations Research · doi:10.1007/s10479-024-05825-9 · Cited by 41 · see citing works

Artificial Intelligence–Aided Precision Medicine for COVID-19: Strategic Areas of Research and Development

Santus, E., Marino, N., Cirillo, D., Chersoni, E., Montagud, A., Chadha, A. S., Valencia, A., Hughes, K. S., & Lindvall, C. J. (2021) · Journal of Medical Internet Research · doi:10.2196/22453 · Cited by 32 · see citing works

Organizing workers and machine learning tools for a less oppressive workplace

Young, A., Majchrzak, A., & Kane, G. C. (2021) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2021.102353 · Cited by 30 · see citing works

Towards shaping the future of responsible AI in africa

Eke, D. O., Chintu, S. S., & Wakunuma, K. (2023) · Social and Cultural Studies of Robots and AI · doi:10.1007/978-3-031-08215-3_8 · Cited by 33 · see citing works

Categorization and eccentricity of AI risks: a comparative study of the global AI guidelines

Jia, K., & Zhang, N. (2021) · Electronic Markets · doi:10.1007/s12525-021-00480-5 · Cited by 23 · see citing works

The Relocation Problem of Field Calibrated Low-Cost Sensor Systems in Air Quality Monitoring: A Sampling Bias

Tancev, G., & Pascale, C. (2020) · Sensors · doi:10.3390/s20216198 · Cited by 25 · see citing works

Digital Twins and Automation of Care in the Intensive Care Unit

Chase, J. G., Zhou, C., Knopp, J. L., Möeller, K., Benyó, B. I., Desaive, T., Wong, J. H. K., Malinen, S. K., Näswall, K., Shaw, G. M., et al. (2023) · Wiley eBooks · doi:10.1002/9781119857433.ch17 · Cited by 25 · see citing works

Enabling Artificial Intelligence Adoption through Assurance

Freeman, L., Rahman, A., & Batarseh, F. A. (2021) · Social Sciences · doi:10.3390/socsci10090322 · Cited by 25 · see citing works

Bias reduction in representation of histopathology images using deep feature selection

Bidgoli, A. A., Rahnamayan, S., Dehkharghanian, T., Grami, A., & Tizhoosh, H. R. (2022) · Scientific Reports · doi:10.1038/s41598-022-24317-z · Cited by 23 · see citing works

Integration of artificial intelligence and precision oncology in Latin America

Sussmann, L., García-Robledo, J. E., Ordóñez‐Reyes, C., Forero, Y., Mosquera, A., Ruíz-Patiño, A., Chamorro, D. F., & Cardona, A. F. (2022) · Frontiers in Medical Technology · doi:10.3389/fmedt.2022.1007822 · Cited by 22 · see citing works

Bias and Fairness in Face Detection

Menezes, H. F., Ferreira, A. S., Pereira, E. T., & Gomes, H. M. (2021) · SIBGRAPI Conference on Graphics, Patterns and Images (SIBGRAPI) · doi:10.1109/sibgrapi54419.2021.00041 · Cited by 21 · see citing works

Digital risks and Islamic FinTech: a road map to social justice and financial inclusion

Alsaghir, M. (2023) · Journal of Islamic accounting and business research · doi:10.1108/jiabr-10-2022-0262 · Cited by 21 · see citing works

Variational Bayesian calibration of low-cost gas sensor systems in air quality monitoring

Tancev, G., & Toro, F. G. (2021) · Measurement Sensors · doi:10.1016/j.measen.2021.100365 · Cited by 21 · see citing works

Cardiovascular Health Research in the Workplace: A Workshop Report

Calitz, C., PRATT, C. A., Pronk, N. P., Fulton, J. E., Jinnett, K., Thorndike, A. N., Addou, E., Arena, R. A., Brown, A. G. M., Chang, C., et al. (2021) · Journal of the American Heart Association · doi:10.1161/jaha.120.019016 · Cited by 20 · see citing works

Automated Storytelling Technologies for Cultural Heritage

Cante, L. C., Martino, B. D., Graziano, M., Branco, D., & Pezzullo, G. (2024) · Lecture notes on data engineering and communications technologies · doi:10.1007/978-3-031-53555-0_57 · Cited by 17 · see citing works

Judgemental errors in aviation maintenance

Illankoon, P., & Tretten, P. (2019) · Cognition Technology & Work · doi:10.1007/s10111-019-00609-9 · Cited by 18 · see citing works

Artificial Intelligence and a Pandemic: an Analysis of the Potential Uses and Drawbacks

Williams, C. M., Chaturvedi, R., Urman, R. D., Waterman, R. S., & Gabriel, R. A. (2021) · Journal of Medical Systems · doi:10.1007/s10916-021-01705-y · Cited by 17 · see citing works

Using ChatGPT to Improve Health Communication and Plain Language Writing for Students in Communication Sciences and Disorders

Slavych, B. K., Atcherson, S. R., & Zraick, R. (2024) · Perspectives of the ASHA Special Interest Groups · doi:10.1044/2024_persp-23-00167 · Cited by 16 · see citing works

The Use of Gendered Chatbots in Nigeria: Critical Perspectives

Borokini, F., Wakunuma, K., & Akintoye, S. (2022) · Social and cultural studies of robots and AI · doi:10.1007/978-3-031-08215-3_6 · Cited by 16 · see citing works

How Should Surgeons Consider Emerging Innovations in Artificial Intelligence and Robotics?

Chappell, A. G., & Teven, C. M. (2023) · The AMA Journal of Ethic · doi:10.1001/amajethics.2023.589 · Cited by 15 · see citing works

Professionalism in artificial intelligence: The link between technology and ethics

Klarin, A., Abadi, H. A., & Sharmelly, R. (2024) · Systems Research and Behavioral Science · doi:10.1002/sres.2994 · Cited by 15 · see citing works

Women's Rights Under AI Regulation: Fighting AI Gender Bias Through a Feminist and Intersectional Approach

Belloso, M. L. (2022) · Information technology and law series/Information technology & law series · doi:10.1007/978-94-6265-523-2_5 · Cited by 14 · see citing works

The Role of Artificial Intelligence In Corporate GovernancePreprint

Kaya, B. C. (2022) · SSRN Electronic Journal · doi:10.2139/ssrn.4143846 · Cited by 14 · see citing works

Barriers to Artificial Intelligence Adoption in Healthcare Management: A Systematic Review

Assadullah, M. M. (2019) · SSRN Electronic Journal · doi:10.2139/ssrn.3530598 · Cited by 13 · see citing works

Regulating Artificial Intelligence in the EU, United States and China - Implications for energy systems

Heymann, F., Parginos, K., Hariri, A., & Franco, G. (2023) · IEEE PES Innovative Smart Grid Technologies Europe · doi:10.1109/isgteurope56780.2023.10407482 · Cited by 13 · see citing works

New evidence-based practice: Artificial intelligence as a barrier breaker

Ferreira, R. M. (2023) · World Journal of Methodology · doi:10.5662/wjm.v13.i5.384 · Cited by 13 · see citing works

A review of the application of artificial intelligence in South African Higher Education

Funda, V., & Piderit, R. (2024) · Conference on Information Communications Technology and Society (ICTAS) · doi:10.1109/ictas59620.2024.10507113 · Cited by 23 · see citing works

The Use of a Novel Artificial Intelligence Platform for the Evaluation of Rhytids

Yoelin, S. G., Green, J. B., Dhawan, S., Hasan, F., Mahbod, B., Khan, B., & Dhawan, A. S. (2022) · Aesthetic Surgery Journal · doi:10.1093/asj/sjac200 · Cited by 12 · see citing works

Does artificial intelligence dream of non-terrestrial techno-signatures?

la Torre, G. G. D. (2019) · Acta Astronautica · doi:10.1016/j.actaastro.2019.11.013 · Cited by 11 · see citing works

The Possibility of Applying Artificial Intelligence in the Delivery of Justice by Courts

Tamošiūnienė, E., Terebeiza, Ž., & Doržinkevič, A. (2024) · Baltic Journal of Law & Politics · doi:10.2478/bjlp-2024-0010 · Cited by 10 · see citing works

Fostering Trust in AI-Driven Healthcare: A Brief Review of Ethical and Practical Considerations

Sîrbu, C. L., & Mercioni, M. A. (2024) · International Symposium on Electronics and Telecommunications (ISETC) · doi:10.1109/isetc63109.2024.10797264 · Cited by 11 · see citing works

An Iterative and Collaborative End-to-End Methodology Applied to Digital Mental Health

Boulos, L., Mendes, A., Delmas, A., & Kaadoud, I. C. (2021) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2021.574440 · Cited by 9 · see citing works

Machine Learning Algorithm to Perform the American Society of Anesthesiologists Physical Status Classification

Lew, M. W., Pozhitkov, A. E., Rossi, L. A., Raytis, J. L., & Kidambi, T. D. (2023) · Cureus · doi:10.7759/cureus.47155 · Cited by 8 · see citing works

Phantomless Computed Tomography-Based Quantitative Bone Mineral Density Assessment: A Literature Review

Mallio, C. A., Vertulli, D., Bernetti, C., Stiffi, M., Greco, F., Goethem, J. W. V., Parizel, P. M., Quattrocchi, C. C., & Zobel, B. B. (2024) · Applied Sciences · doi:10.3390/app14041447 · Cited by 8 · see citing works

Attenuation of Human Bias in Artificial Intelligence: An Exploratory Approach

Ahmed, S., Athyaab, S. A., & Muqtadeer, S. A. (2021) · International Conference on Inventive Computation Technologies (ICICT) · doi:10.1109/icict50816.2021.9358507 · Cited by 8 · see citing works

Using Bias Parity Score to Find Feature-Rich Models with Least Relative Bias

Jain, B., Huber, M., Elmasri, R. A., & Fegaras, L. (2020) · Technologies · doi:10.3390/technologies8040068 · Cited by 7 · see citing works

Is the Next Winter Coming for AI? Elements of Making Secure and Robust AI

Harguess, J. D., & Ward, C. M. (2022) · IEEE Applied Imagery Pattern Recognition Workshop · doi:10.1109/aipr57179.2022.10092230 · Cited by 6 · see citing works

Trust, perceived usefulness, and intentions to adopt robotic health advisors for physical and relational health issues

Kim, J., Merrill, K., Jin, X., Collins, C., & Xu, K. (2023) · The Social Science Journal · doi:10.1080/03623319.2023.2289241 · Cited by 6 · see citing works

Detecting the presence of social bias in GPT-3.5 using association tests

Mhatre, A. (2023) · International Conference on Advanced Computing Technologies and Applications (ICACTA) · doi:10.1109/icacta58201.2023.10392776 · Cited by 6 · see citing works

Artificial Neural Network (ANN) for Performance Assessment in Virtual Reality (VR) Simulators: From Surgical to Maritime Training

Tusher, H. M., Nazir, S., Mallam, S., & Munim, Z. H. (2022) · IEEE International Conference on Industrial Engineering and Engineering Management (IEEM) · doi:10.1109/ieem55944.2022.9989816 · Cited by 6 · see citing works

Biased data lead to biased algorithms

Richardson, A. (2022) · Canadian Medical Association Journal · doi:10.1503/cmaj.80860 · Cited by 6 · see citing works

Unveiling the Layers: Analyzing ChatGPT Implementations in Turkish State Universities

Ulum, Ö. G. (2024) · Base for Electronic Educational Sciences · doi:10.29329/bedu.2024.651.7 · Cited by 5 · see citing works

A Inteligência Artificial e os desafios da Ciência Forense Digital no século XXI

Padilha, R., Theóphilo, A., Andaló, F., Vega‐Oliveros, D. A., Cardenuto, J. P., Bertocco, G. C., Nascimento, J., Yang, J., & Rocha, A. D. R. (2021) · Estudos Avançados · doi:10.1590/s0103-4014.2021.35101.009 · Cited by 8 · see citing works

‘Thy Algorithm Shalt Not Bear False Witness’: An Evaluation of Multiclass Debiasing Methods on Word Embeddings

Schlender, T., & Spanakis, G. (2021) · Communications in computer and information science · doi:10.1007/978-3-030-76640-5_9 · Cited by 5 · see citing works

AI-adoption attitudes in Southern Africa’s higher education sector: A pilot survey using the capability, opportunity, motivation and behaviour (COM-B) model

Patterson, M. E., Breytenbach, J., & Coffman, I. (2025) · The African Journal of Information and Communication (AJIC) · doi:10.23962/ajic.i35.21607 · Cited by 6 · see citing works

Statistical AI Models for Environmental Sustainability: ARIMA, LSTM, and CNN-LSTM in Climate Prediction

Folorunso, S. A., Afolabi, S. A., Osanyintupin, O. D., Folorunso, M. A., Kehinde, R. O., Adebiyi, A., Folorunso, A. A., Salam, S., & Oyelakin, T. T. (2025) · Green chemistry and sustainable technology · doi:10.1007/978-3-031-91199-6_15 · Cited by 4 · see citing works

A Latin American perspective on neurodiplomacy

Mostajo-Radji, M. A. (2023) · Frontiers in Medical Technology · doi:10.3389/fmedt.2022.1005043 · Cited by 4 · see citing works

Artificial Intelligence in Human Resource Management: Personnel Marketing and Recruiting

Lüersmann, A. (2023) · Studies in systems, decision and control · doi:10.1007/978-3-031-27506-7_23 · Cited by 4 · see citing works

An Alternative Approach in Anatomy Education: Design of a Learning Environment Based on Artificial Intelligence‐Supported Virtual Manipulatives and Investigation of Its Effectiveness

BOLATLI, G., Birişçi, S., & Bolatlı, Z. (2025) · Clinical Anatomy · doi:10.1002/ca.70008 · Cited by 4 · see citing works

Artificial Intelligence in Ocular Oncology: Differentiating Choroidal Melanocytic Lesions

Harby, L. A., Korot, E., Keane, P. A., Lally, S. E., Ferenczy, S. R., Dalvin, L. A., Pellegrini, M., Duker, J. S., Fung, A. T.-C., Kaliki, S., et al. (2025) · Ophthalmology Science · doi:10.1016/j.xops.2025.100948 · Cited by 3 · see citing works

Technical Considerations for Designing, Developing, and Implementing AI Systems in Africa

Mengesha, G. H., Belay, E. G., & Adams, R. (2024) · Advances in IT standards and standardization research (AISSR) book series/Advances in IT standards and standardization research series · doi:10.4018/978-1-6684-9962-7.ch005 · Cited by 3 · see citing works

The feeling of being classified: raising empathy and awareness for AI bias through perspective-taking in VR

Schlagowski, R., Volanti, M., Weitz, K., Mertes, S., Kuch, J. M., & André, E. (2024) · Frontiers in Virtual Reality · doi:10.3389/frvir.2024.1340250 · Cited by 3 · see citing works

An Evidence-Based Systematic Review: The Impact of Artificial Intelligence in Pharmacology and Health Research

Gudadappanavar, A. M., Hombal, P. R., & Benni, J. M. (2024) · Physiology and Pharmacology · doi:10.61186/phypha.28.3.257 · Cited by 3 · see citing works

Characterizing sensor accuracy requirements in an artificial intelligence-enabled medical device

Bartlett, K. A., Forth, K. E., & Madansingh, S. I. (2022) · IPEM-Translation · doi:10.1016/j.ipemt.2022.100004 · Cited by 2 · see citing works

Dominant View and Perception of Artificial Intelligence in Developing Economy

Belay, E. G., Mengesha, G. H., & Kifle, N. (2022) · Lecture notes in computer science · doi:10.1007/978-3-031-05643-7_8 · Cited by 2 · see citing works

ARTIFICIAL INTELLIGENCE BIAS AND NEURAL MACHINE TRANSLATION: TRANSLATING HEAVILY_LOADED IDEOLOGICAL ENGLISH→ARABIC MESSAGES

Ahmed, S. A. A. (2022) · CDELT Occasional Papers in the Development of English Education · doi:10.21608/opde.2022.282208 · Cited by 3 · see citing works

Integrity, Confidentiality, and Equity: Using Inquiry-Based Labs to help students understand AI and Cybersecurity

Alexander, R., Ma, L., Dou, Z.-L., Cai, Z., & Huang, Y. (2023) · Journal of Cybersecurity Education Research and Practice · doi:10.32727/8.2023.34 · Cited by 2 · see citing works

An Analysis of Artificial Intelligence Adoption in the Human Resource Management

Kumar, A. (2024) · INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT · doi:10.55041/ijsrem32681 · Cited by 3 · see citing works

Risk Evaluation of AI Systems in the Energy Sector - Three Case Studies from TSO Business

Heymann, F., Marot, A., Subramanian, M., & Galus, M. D. (2024) · IEEE International Forum on Research and Technology for Society and Industry (RTSI) · doi:10.1109/rtsi61910.2024.10761769 · Cited by 3 · see citing works

Ethical Considerations in AI-Powered Health Communities to Promote Good Health and Wellbeing

Ang, C., & Lee, K.-F. (2025) · Advances in computational intelligence and robotics book series · doi:10.4018/979-8-3693-5837-5.ch003 · Cited by 2 · see citing works

INNOVACIÓN Y TRANSFORMACIÓN DIGITAL EN LAS ONG. LA VISIÓN DE ACCIÓN CONTRA EL HAMBRE.

de la Blanca, V. G. S. (2021) · Revista Diecisiete Investigación Interdisciplinar para los Objetivos de Desarrollo Sostenible · doi:10.36852/2695-4427_2021_04.14 · Cited by 2 · see citing works

Bias Reduction in Representation of Histopathology Images Using Deep Feature SelectionPreprint

Bidgoli, A. A., Rahnamayan, S., Dehkharghanian, T., Grami, A., & Tizhoosh, H. R. (2022) · Research Square · doi:10.21203/rs.3.rs-1882716/v1 · Cited by 2 · see citing works

Values tensions and values tradeoffs in the development of healthcare artificial intelligence technology: a conceptual model of decisions to create trustworthy technology

Tovmasyan, A., Weinstein, N., & Mittelstadt, B. (2025) · Social Influence · doi:10.1080/15534510.2025.2478940 · Cited by 2 · see citing works

GPTs and digital superintermediaries: dynamics, dilemmas, dangers of generative AI – a conceptual framework

Azionya, C. M. (2025) · Communicare Journal for Communication Studies in Africa · doi:10.36615/wfx19633 · Cited by 1 · see citing works

Feeling seen by something that doesn’t feel: simulated empathy, epistemic vigilance, and ethics of AI

Bartell, S. M. (2026) · Teaching in Higher Education · doi:10.1080/13562517.2026.2697260 · Cited by 1 · see citing works

Using Artificial Intelligence to Address Health Disparities

Merrill, K. (2024) · Oxford University Press eBooks · doi:10.1093/oxfordhb/9780197744345.013.25 · Cited by 1 · see citing works

The mathematics of bias for people prediction

Dev, J. (2022) · XRDS Crossroads The ACM Magazine for Students · doi:10.1145/3538539

دور الذكاء الاصطناعي في الإدارة اللينة للأزمات (دراسة تطبيقية لإدارة أزمة كوفيد– 19)

أمين, ب. م. (2023) · المجلة القانونیة · doi:10.21608/jlaw.2023.325333

Authorship attribution of small messages

Júnior, A. C. T. C. (2022) · doi:10.47749/t/unicamp.2022.1254885

Artificial Intelligence Terminologies

(2024) · Advances in higher education and professional development book series · doi:10.4018/979-8-3693-4074-5.ch001

International Cooperation, Multilateralism, and Civil Society in the Face of the Technological Revolution 4.0

Santana, F. E. N. (2024) · Contributions to international relations · doi:10.1007/978-3-031-66750-3_11

Framing Effects on Large Language Models

Alfred, K. S. Z. S., & Rajarajan, S. B. (2025) · IEEE Integrated STEM Education Conference (ISEC) · doi:10.1109/isec64801.2025.11147285

Humans’ Perceptions of Artificial Intelligence News Anchors

Merrill, K. (2025) · Wiley eBooks · doi:10.1002/9781394250424.ch22

Artificial Intelligence-Empowered Autonomous Software – Moral Dilemmas, Ethics, Regulations, Challenges and Requirements: Interdisciplinary Panel Discussion

Tsihrintzis, G. A., Virvou, M., Asderaki, F., Deligiannis-Virvos, K., Krusche, S., Pantouvakis, A., Slyngstad, J., & Washizaki, H. (2025) · Learning and analytics in intelligent systems · doi:10.1007/978-3-031-98410-5_28

Research and development of innovative mathematical algorithms using cluster-based interactions of metagenomic data in biomedicine

Champion, C. (2021) · doi:10.70675/79fd4203z5327z427bz9c20zcbb27d66da1b

Advanced Methods for Enhancing the Interpretability of AI tools in the Energy Sector

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