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. 

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.

Albright, K., Merlo, T. R., & Agarwal, N. K. (Eds.). (2026). Navigating Inequities and Social Justice in the Age of Artificial Intelligence (Vol. 2). World Scientific.

Möllers, N. T. (2026). Against Bias: How Computing Cultures Manufacture Disengagement. MIT Press.

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. Bloomsbury Academic.

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.    

• Scaling Justice: AI is scaling faster than justice, revealing a dangerous governance gap
• Putting the AI in Racial Justice: Events Confront Growing Concerns Artificial Intelligence Poses for People of Color
• States can—and should—regulate AI in criminal justice

• Data Justice 2026: The Datafied State
• Accelerate: Data and AI for Social Impact Conference
• Artificial Intelligence and Social Inequality Conference
• IASEAI
• Responsible AI Summit
• AI for Good Global Summit
• ICWSM
• Global Partnership on Artificial Intelligence 

• Democracy x AI Cohort: Call for Proposals
• Social Science Research Council - Just Tech Fellowship
• ACLS Digital Justice Grants
• Early-concept Grants for Exploratory Research on Artificial Intelligence (AI) and Society - Supported Jointly with the Partnership on AI   

• Assessing AI for Criminal Justice A User Decision Framework
• UNESCO’s Guidelines for the use of AI systems in courts and tribunals
• The Innovation Framework: A Civil Rights Approach to AI for Practitioners
• Unfairness By Algorithm: Distilling the Harms of Automated Decision-Making - Future of Privacy Forum   

• Bias and Fairness Audit Toolkit for Machine Learning
• Amnesty International — Algorithmic Accountability Toolkit.
• AI Incident Database
• Fairlearn: Improve fairness of AI systems
• AI Fairness 360
• PWC Responsible AI  

• OECD Network of Experts on AI (ONE AI)

• Global Empowerment Meeting 2025: Catalyzing AI for Inclusive Change | Harvard Center for International Development
• CETaS Webinar: AI and Serious Online Crime | The Alan Turing Institute
• Coded Bias (Documentary)
• Algorithms as Social-Ecological-Technological Systems: Sn Environmental Justice lens on Algorithmic Audits
• Kate Crawford on “Atlas of AI: Power, Politics, and the Planetary Costs of Artificial Intelligence”
• AI Is Dangerous, but Not for the Reasons You Think | Sasha Luccioni | TED
• Karen Hao interview about EMPIRE OF AI: Dreams and Nightmares in Sam Altman’s OpenAI
• The Innovation Framework: A Civil Rights Approach to AI
• How inclusive AI technology can improve social justice | TEDxSaoPaulo
• Microsoft Responsible AI
• Harvard Center for International Development (CID): Global Empowerment Meeting 2025: Catalyzing AI for Inclusive Change