Penn State CSRAI Research
Workman, D., & Dancy, C. L . (2023, October). Identifying potential inlets of man in the artificial intelligence development process: man and antiblackness in AI development . In Companion Publication of the 2023 Conference on Computer Supported Cooperative Work and Social Computing (pp. 348-353). Zhang, H., Falletta, N. J., Xie, J., Yu, R., Lee, S., Billah, S. M ., & Carroll, J. M . (2025, January). Enhancing the travel experience for people with visual impairments through multimodal interaction: NaviGPT, a real-time AI-driven mobile navigation system . In Companion Proceedings of the 2025 ACM International Conference on Supporting Group Work (pp. 29-35). Xie, J., Yu, R., Zhang, H., Billah, S. M ., Lee, S., & Carroll, J. M . (2025, April). Beyond visual perception: Insights from smartphone interaction of visually impaired users with large multimodal models . In Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems (pp. 1-17). Zipf, S ., Wu, C., & Petricini, T. (2025). Using the information inequity framework to study GenAI equity: analysis of educational perspectives . Information Research an international electronic journal , 30 (iConf), 533-547.Beyene, F. S., & Dancy, C. L . (2025). Layout-Aware OCR for Black Digital Archives with Unsupervised Evaluation . arXiv preprint arXiv:2509.13236 . Deshmukh, A. D., & Wagner, J. K . (2025). FDA Draft Guidelines for AI and the Need for Ethical Frameworks . JAMA Pediatrics, 179 (9), 937–938. Cotter, K . (2024). Epistemic-democratic tension in the bottom-up governance of algorithms . AoIR: Selected Papers of Internet Research .Hosseini, H. , & Schierreich, Š. (2025). The Algorithmic Landscape of Fair and Efficient Distribution of Delivery Orders in the Gig Economy. arXiv preprint arXiv:2503.16002. Venkit, P. N., Li, J., Zhou, Y., Rajtmajer, S. , & Wilson, S. (2025). A Tale of Two Identities: An Ethical Audit of Human and AI-Crafted Personas. arXiv preprint arXiv:2505.07850. Zhang, H., Cui, Z., Wang, X., Zhang, Q., Wang, Z., Wu, D., & Hu, S. (2025). If Multi-Agent Debate is the Answer, What is the Question?. arXiv preprint arXiv:2502.08788.
Articles
Ebo, T. O., Osunmakinde, A., Asaolu, A. J., Ebo, D. M., Egbon, E., & Olawade, D. B. (2026). Automating inequity: how artificial intelligence reproduces systemic failures in patient safety for marginalized communities . AI & SOCIETY , 1-23. Farber, S. (2025). Machines of justice: A systematic review of AI applications in policing and criminal justice . The Police Journal , 0032258X261439572. Copenhaver, A., Denney, A. S., Pendleton, J., & Rakestraw, D. (2026). Media Portrayals of AI Use in the Criminal Justice System: A Mixed-Methods Study . Criminal Justice Review , 07340168261438498. İnce, E. (2026). Algorithmic ableism and the normative body: Disability in the age of technocapitalist AI. Technology and Disability , 10554181261433364. Godwin, E. S., & Smith, M. (2026). Digital human twins for disabled people: technology for enabling or ableism? . AI & SOCIETY , 1-12. Mladenov, T. (2026). AI and disabled people’s independent living: a framework for analysis . AI & SOCIETY , 41 (3), 2593-2605. Zowghi, D., & Bano, M. (2026). Emerging roles and trends of equity, diversity, and inclusion in artificial intelligence . AI & SOCIETY , 1-8. Chigbu, B. I. (2026). Algorithmic management in the global gig economy: an interdisciplinary systematic literature review and critical discourse analysis . Frontiers in Sociology , 11 , 1743445. Chigbu, B. I. (2026). Automation, AI, and the Global Future of Work: Bridging North‐South Divides . Sociology Compass , 20 (5), e70198. De Carvalho, L. L., Buchbinder, F., Da Hora, D. A. B., Ferreira, V. B., & De Carvalho, D. M. (2026). Social participation as an ethical criterion for AI governance in public administration . AI and Ethics , 6 (2), 177. Liang, G. (2026). Governing the amorphous: AI, social justice, and the challenge of future-proof regulation . Social Sciences & Humanities Open , 13 , 102467. Wegner, L., Mirsch, M., & Leicht-Scholten, C. (2026). The emerging relevance of relational justice within algorithmic fairness research: a systematic literature review. AI and Ethics , 6 (2), 197. Lin, T. A., & Huang, L. T. L. (2026). AI, Normality, and Oppressive Things . Minds and Machines , 36 (2), 26. Hayvon, J. C. (2026). Digital Media for Social Justice and Change: Conceptualizing Impacts of Artificial Intelligence on Marginalized Media Creators . Journal of Evidence-Based Social Work , 23 (1), 21-41. Manos, N., Technitis, E., & Sykiotou, A. (2026). The Use of Artificial Intelligence in the Administration of Justice: Suggested Framework of Ethical Principles and Reasoning of Judges in the Use of Intelligent Systems . Laws , 15 (2), 20. Ayeni, O. B., Musinguzi-Karamukyo, I., Onibalusi, O. T., & Omigbodun, O. M. (2026). AI in Everyday Life: How Algorithmic Systems Shape Social Relations, Opportunity, and Public Trust . Societies , 16 (2), 59. Hübschle, A., & Shearing, C. (2026). Artificial intelligence harmscapes: rethinking digital governance in the age of cognitive tools . Contemporary Justice Review , 1-18. Loy, A., & Bantry-White, E. (2026). Evaluating AI in Social Programs: Reframing Complex Intervention as Socio-Technical Intervention . Journal of Evidence-Based Social Work , 23 (1), 94-122. Lendvai, G. F., & Gosztonyi, G. (2025). Algorithmic bias as a core legal dilemma in the age of artificial intelligence: Conceptual basis and the current state of regulation . Laws , 14 (3), 41. Hammerschmidt, T., Stolz, K., & Posegga, O. (2025). Bridging the gap: inequalities that divide those who can and cannot create sustainable outcomes with AI. Behaviour & Information Technology , 1-30. Demirchyan, G. (2025). Algorithmic fairness: challenges to building an effective regulatory regime . Frontiers in Artificial Intelligence , 8 , 1637134. Davis, S. E., Dorn, C., Park, D. J., & Matheny, M. E. (2025). Emerging algorithmic bias: fairness drift as the next dimension of model maintenance and sustainability . Journal of the American Medical Informatics Association , 32 (5), 845-854. Kinchin, N. (2024). “Voiceless”: the procedural gap in algorithmic justice . International Journal of Law and Information Technology , 32 , eaae024. Guler, A., Kula, S., & Boke, K. (2025). Examining public support for AI in policing: the role of perceived procedural justice . Police Practice and Research , 1-23. Overbye-Thompson, H., & Rice, R. E. (2025). Understanding how users may work around algorithmic bias . AI & SOCIETY , 1-15. Bircan, T., & Özbilgin, M. F. (2025). Unmasking inequalities of the code: Disentangling the nexus of AI and inequality. Technological Forecasting and Social Change, 211 , 123925. Shrungare, J. (2024). Tech and Social Justice. XRDS: Crossroads, The ACM Magazine for Students, 30 (4), 67-69. Chordia, I., Baltaxe-Admony, L. B., Boone, A., Sheehan, A., Dombrowski, L., Le Dantec, C. A., ... & Smith, A. D. (2024, May). Social Justice in HCI: A Systematic Literature Review. In Proceedings of the CHI Conference on Human Factors in Computing Systems (pp. 1-33). Iloanusi, N. J., & Chun, S. A. (2024, June). AI Impact on Health Equity for Marginalized, Racial, and Ethnic Minorities. In Proceedings of the 25th Annual International Conference on Digital Government Research (pp. 841-848). Buddemeyer, A., Nwogu, J., Solyst, J., Walker, E., Nkrumah, T., Ogan, A., ... & Stewart, A. (2022, September). Unwritten magic: Participatory design of AI Dialogue to empower marginalized voices. In Proceedings of the 2022 ACM Conference on Information Technology for Social Good (pp. 366-372). Farnadi, G., Havaei, M., & Rostamzadeh, N. (2024). Position: Cracking the Code of Cascading Disparity Towards Marginalized Communities. arXiv preprint arXiv:2406.01757. Aguilar, G. L. (2024). Rhetorically training students to generate with AI: Social justice applications for AI as audience. Computers and Composition, 71 , 102828. Buccella, A. (2023). “AI for all” is a matter of social justice. AI and Ethics, 3 (4), 1143-1152. A vulnerability analysis: Theorising the impact of artificial intelligence decision-making processes on individuals, society and human diversity from a social justice perspective | Elsevier Enhanced Reader . (n.d.).Aimiuwu, E. E. (2022). Enhancing Social Justice: A Virtual Reality and Artificial Intelligence Model. International Journal of Technology in Education and Science , 6 (1), 32–43. Campbell, R. W. (2020). Artificial Intelligence in the Courtroom: The Delivery of Justice in the Age of Machine Learning Articles & Essays. Colorado Technology Law Journal , 18 (2), 323–350. Chohlas-Wood, A., Nudell, J., Yao, K., Lin, Z. (Jerry), Nyarko, J., & Goel, S. (2021). Blind Justice: Algorithmically Masking Race in Charging Decisions. Proceedings of the 2021 AAAI/ACM Conference on AI, Ethics, and Society , 35–45. de la Rosa, F. E., & Zeleznikow, J. (2021). Making intelligent online dispute resolution tools available to self-represented litigants in the public justice system: Towards and ethical use of the ai technology in the administration of justice. Proceedings of the Eighteenth International Conference on Artificial Intelligence and Law , 195–199. Graham, S. S., & Hopkins, H. R. (2022). AI for Social Justice: New Methodological Horizons in Technical Communication. Technical Communication Quarterly , 31 (1), 89–102. Hu, L. (2018). Justice Beyond Utility in Artificial Intelligence. Proceedings of the 2018 AAAI/ACM Conference on AI, Ethics, and Society , 368–369. Kak, A. (2020). “The Global South is everywhere, but also always somewhere”: National Policy Narratives and AI Justice. Proceedings of the AAAI/ACM Conference on AI, Ethics, and Society , 307–312. Lin, P. (2018). AI Decisions, Risk, and Ethics: Beyond Value Alignment. Proceedings of the 2018 AAAI/ACM Conference on AI, Ethics, and Society , 2. Sloan, R. H., & Warner, R. (2020). Beyond Bias: Artificial Intelligence and Social Justice. Virginia Journal of Law & Technology , 24 (1), 1–32. Sloane, M. (2019). Inequality Is the Name of the Game: Thoughts on the Emerging Field of Technology, Ethics and Social Justice. Weizenbaum Conference .
Books
Cant, C., Muldoon, J., & Graham, M. (2024). Feeding the machine: The hidden human labor powering AI . Bender, E. M., & Hanna, A. (2025). The AI con: How to fight big tech’s hype and create the future we want Albright, K., Merlo, T. R., & Agarwal, N. K. (Eds.). (2026). Navigating Inequities and Social Justice in the Age of Artificial Intelligence (Vol. 2) Möllers, N. T. (2026). Against Bias: How Computing Cultures Manufacture Disengagement Zalnieriute, M., & Limante, A. (Eds.). (2026). The Cambridge handbook of AI and technologies in courts . Cambridge University Press. Dement, C. E., Jr., & Smith, M. A. (2026). Algorithmic justice: Artificial intelligence and the transformation of criminal justice Kumar, A. B., & Sanjaya, K. (2025). AI and Social Justice: Democratizing Technology for Inclusive Growth . In Ethical AI Solutions for Addressing Social Media Influence and Hate Speech (pp. 163-190). IGI Global Scientific Publishing. Crawford, K. (2021). The Atlas of AI: Power, politics, and the planetary costs of artificial intelligence . Yale University Press. Hao, K. (2025). Empire of AI: Dreams and Nightmares in Sam Altman's OpenAI. Penguin Group. Microsoft. (2018) The Future Computed: Artificial Intelligence and its Role in Society.
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