Artificial Intelligence and the Nonprofit Sector: A Working Bibliography
Artificial Intelligence has a long history in the science of information and communications technology. The recent emergence of programs like CHAT-GPT have captivated the public mind and raised fear and promises of a new world of either wonder or horror or both.
Ahn, M. J., & Chen, Y. C. (2020, June). Artificial intelligence in government:
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Alperstein, N. (2021). Exploring Issues of Social Justice and Data Activism: The
Personal Cost of Network Connections in the Digital Age. In Performing Media
Activism in the Digital Age (pp. 143-177). Palgrave Macmillan, Cham.
Baek, T. H., Bakpayev, M., Yoon, S., & Kim, S. (2022). Smiling AI agents: How anthropomorphism and broad smiles increase charitable giving. International Journal of Advertising, 41(5), 850-867.
Belfield, H. (2020, February). Activism by the AI community: Analysing recent
achievements and future prospects. In Proceedings of the AAAI/ACM Conference
on AI, Ethics, and Society (pp. 15-21).
Benjamin, R. (2019). Assessing risk, automating racism.
Science, 366(6464), 421-422.
Bondi, E., Xu, L., Acosta-Navas, D., & Killian, J. A. (2021, July). Envisioning communities: A participatory approach towards AI for social good. In Proceedings of the 2021 AAAI/ACM Conference on AI, Ethics, and Society (pp. 425-436).
Berendt, B. (2019). AI for the Common Good?! Pitfalls, challenges, and ethics pen-testing. Paladyn, Journal of Behavioral Robotics, 10(1), 44-65.
Buolamwini, J. (2016). The algorithmic justice league. Medium (December,
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Ceccaroni, L., Bibby, J., Roger, E., Flemons, P., Michael, K., Fagan, L., & Oliver, J. L. (2019). Opportunities and risks for citizen science in the age of artificial intelligence. Citizen Science: Theory and Practice, 4(1), Article-number.
Cave, S., & Dihal, K. (2020). The whiteness of AI. Philosophy & Technology, 33(4),
685-703.
Chen, Y. C., Ahn, M. J., & Wang, Y. F. (2023). Artificial Intelligence and Public Values: Value Impacts and Governance in the Public Sector. Sustainability, 15(6), 4796.
Cihon, P., Schuett, J., & Baum, S. D. (2021). Corporate governance of artificial intelligence in the public interest. Information, 12(7), 275.
Cornebise, J., Worrall, D., Farfour, M. & Marin, M.(2018). Witnessing atrocities: quantifying villages destruction in Darfur with crowdsourcing and transfer learning. In Proc. AI for Social Good NeurIPS2018 Workshop, NeurIPS ’18,Montreal, Canada (2018).
Cowls, J., Tsamados, A., Taddeo, M., & Floridi, L. (2021). The AI gambit: leveraging artificial intelligence to combat climate change—opportunities, challenges, and recommendations. Ai & Society, 1-25.
Cowls, J., Tsamados, A., Taddeo, M., & Floridi, L. (2021). A definition, benchmark and database of AI for social good initiatives. Nature Machine Intelligence, 3(2), 111-115.
Eubanks, V. (2018). Automating inequality: How high-tech tools profile,
police, and punish the poor. St. Martin's Press.
Farmer, J., McCosker, A., Albury, K., & Aryani, A. (2023). Data for Social Good: Non-Profit Sector Data Projects (p. 127). Springer Nature.
Feldstein, S. (2019). The road to digital unfreedom: How artificial intelligence
is reshaping repression. Journal of Democracy, 30(1), 40-52.
Fruchterman, J. (2016). Using data for action and for impact. Stanford Social Innovation Review, 14(3), 30.
Goldkind, L., & McNutt, J. G. (2019). We could be unicorns: Human services
leaders Moving from Managing Programs to Managing Information Ecosystems.
Human Service Organizations: Management, Leadership & Governance, 43(4),
269-277.
Goldkind, L. (2021). Social Work and Artificial Intelligence:
Into the Matrix. Social Work.,
https://doi.org/10.1093/sw/swab028
Inclezan, D., & Pradanos, L. I. (2017). A critical view on smart cities and AI.
Journal of Artificial Intelligence Research, 60, 681-686.
Janssen, M., Brous, P., Estevez, E., Barbosa, L. S., & Janowski, T. (2020). Data
governance: Organizing data for trustworthy Artificial Intelligence. Government
Information Quarterly, 37(3), 101493.
Krafft, P. M., Young, M., Katell, M., Lee, J. E., Narayan, S., Epstein, M., ...
& Barghouti, B. (2021, March). An Action-Oriented AI Policy Toolkit for
Technology Audits by Community Advocates and Activists. In Proceedings of the
2021 ACM Conference on Fairness, Accountability, and Transparency (pp.
772-781).
Kshirsagar, M., Robinson, C., Yang, S., Gholami, S., Klyuzhin, I., Mukherjee, S., ... & Lavista Ferres, J. M. (2021, July). Becoming good at AI for good. In Proceedings of the 2021 AAAI/ACM Conference on AI, Ethics, and Society (pp. 664-673).
Laynor, G. (2021). Artificial Whiteness: Politics and Ideology in Artificial
Intelligence by Yarden Katz. Information & Culture, 56(3), 356-357.
Lee, G., Pippy, J., & Hobbs, M. (2022, December). Optimizing the Feature Set for Machine Learning Charitable Predictions. In Australasian Joint Conference on Artificial Intelligence (pp. 631-645). Cham: Springer International Publishing.
Mate, A., Madaan, L., Taneja, A., Madhiwalla, N., Verma, S., Singh, G., ... & Tambe, M. (2022, June). Field study in deploying restless multi-armed bandits: Assisting non-profits in improving maternal and child health. In Proceedings of the AAAI Conference on Artificial Intelligence (Vol. 36, No. 11, pp. 12017-12025).
McBride, K., van Noordt, C., Misuraca, G., & Hammerschmid, G. (2021). Towards a
Systematic Understanding on the Challenges of Procuring Artificial Intelligence
in the Public Sector.
https://doi.org/10.31235/osf.io/un649
McNutt, J.G. (2018) (ed).
Technology, Activism and Social Justice in a Digital Age. London &
New York: Oxford University Press.
McNutt, J.G., Guo, C., Goldkind, L., & An, S. (2018). Technology in Nonprofit
organizations and voluntary action.
Voluntaristics Review. 3(1) 1-63.
Medaglia, R., Gil-Garcia, J. R., & Pardo, T. A. (2021). Artificial Intelligence
in Government: Taking Stock and Moving Forward. Social Science Computer
Review, 08944393211034087.
Mehr, H. (2017). Artificial intelligence for citizen services and government.
Ash Cent. Democr. Gov. Innov. Harvard Kennedy Sch., no. August, 1-12.
Mitchell, S., Potash, E., Barocas, S., D'Amour, A., & Lum, K. (2021).
Algorithmic fairness: Choices, assumptions, and definitions. Annual Review of
Statistics and Its Application, 8, 141-163.
Musikanski, L., Rakova, B., Bradbury, J., Phillips, R., & Manson, M. (2020).
Artificial intelligence and community well-being: A proposal for an emerging
area of research. International Journal of Community Well-Being, 3(1),
39-55.
Najibi, A. (2020). Racial discrimination in face recognition technology. Harvard
University.https://sitn.hms.harvard.edu/flash/2020/racial-discrimination-in-face-recognition-technology/
Noble, S. U. (2018). Algorithms of oppression. New York University Press.
Rakova, B., Yang, J., Cramer, H., & Chowdhury, R. (2021). Where responsible AI
meets reality: Practitioner perspectives on enablers for shifting organizational
practices. Proceedings of the ACM on Human-Computer Interaction, 5(CSCW1),
1-23.
Ren, C., & Bloemraad, I. (2022). New Methods and the Study of Vulnerable Groups: Using Machine Learning to Identify Immigrant-Oriented Nonprofit Organizations. Socius, 8, 23780231221076992.
Saura, J. R., Ribeiro-Soriano, D., & Palacios-Marqués, D. (2021). Using data
mining techniques to explore security issues in smart living environments in
Twitter, Computer Communications.
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Pérez-Morote, R., Pontones-Rosa, C., & Núñez-Chicharro, M. (2020). The effects
of e-government evaluation, trust and the digital divide in the levels of
e-government use in European countries.
Technological Forecasting and Social Change, 154, 119973.
Tomašev, N., Cornebise, J., Hutter, F., Mohamed, S., Picciariello, A., Connelly, B., ... & Clopath, C. (2020). AI for social good: unlocking the opportunity for positive impact. Nature Communications, 11(1), 2468.
Tripp, W., Gage, D., & Williams, H. (2020). Addressing the data analytics gap: A community-university partnership to enhance analytics capabilities in the non-profit sector. Collaborations: A Journal of Community-Based Research and Practice, 3(1).
Valle-Cruz, D., Alejandro Ruvalcaba-Gomez, E., Sandoval-Almazan, R., & Ignacio
Criado, J. (2019, June). A review of artificial intelligence in government and
its potential from a public policy perspective. In Proceedings of the 20th
Annual International Conference on Digital Government Research (pp. 91-99).
Verhulst, S. G. (2018). Where and when AI and CI meet: exploring the intersection of artificial and collective intelligence towards the goal of innovating how we govern. AI & society, 33, 293-297.
West, D. M., &
Allen, J. R. (2018). How artificial
intelligence is transforming the world. Report.
April, 24, 2018
Brookings Institution.
West, D. M., & Allen, J. R. (2020). Turning
Point: Policymaking in the Era of Artificial Intelligence. Brookings
Institution Press.
West, D. M. (2018). The future of work: Robots, AI, and automation.
Brookings Institution Press.
Winschiers-Theophilus, H., Zaman, T., & Stanley, C. (2019). A classification of
cultural engagements in community technology design: introducing a transcultural
approach. Ai & Society, 34(3), 419-435.
Wirtz, B. W., Weyerer, J. C., & Sturm, B. J. (2020). The dark sides of
artificial intelligence: An integrated AI governance framework for public
administration. International Journal of Public Administration, 43(9),
818-829.
Završnik, A. (2019). Algorithmic justice: Algorithms and big data in criminal
justice settings. European Journal of Criminology, 1477370819876762.
Züger, T., & Asghari, H. (2023). AI for the public. How public interest theory shifts the discourse on AI. AI & SOCIETY, 38(2), 815-828.
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