This Resources page lists a variety of information sources regarding AI, organized by the following categories: Publications; Centers, Projects, Initiatives; Conferences and Workshops; Software/Tools.  It is not meant to be exhaustive and will be updated as information becomes available. Please also read our Blog for updates and other AI information.

Publications

Arlitsch, K. & Newell, B. (2017). Thriving in the age of accelerations: A brief look at the societal effects of artificial intelligence and the opportunities for libraries. Journal of Library Administration, 57(7), 789-798. https://www.tandfonline.com/doi/full/10.1080/01930826.2017.1362912

Badia, A. (2019). The Information manifold: Why computers can't solve algorithmic bias and fake news. Cambridge, MA: MIT Press.

Burton, M., Lyon, L., Erdmann, C. & Tijerina, B. (2018). Shifting to data savvy: The future of data science in libraries. Project Report. University of Pittsburgh. Pittsburgh, PA. http://d-scholarship.pitt.edu/33891/

Cox, A. M., Pinfield, S., & Rutter, S. (2019). The intelligent library: Thought leaders' views on the likely impact of artificial intelligence on academic libraries. Library Hi Tech, 37(3), 418-435.

Ex Libris A ProQuest Co. (2019). How AI Can Enhance the Value of Research Libraries. Library Journal. April 15. https://www.libraryjournal.com/?detailStory=how-ai-can-enhance-the-value-of-research-libraries

Ex Libris. (2018). Artificial Intelligence in the Library: Advantages, Challenges and Tradition: An Ex Libris Whitepaper. Whitepaper.https://cdn2.hubspot.net/hubfs/2909474/Ex%20Libris%20Artificial%20Intelligence%20White%20Paper.pdf

Floridi, L. & Cowls, J. (2019). A unified framework of five principles for AI in society. Harvard Data Science Review, 1(1). https://hdsr.mitpress.mit.edu/pub/l0jsh9d1/release/7

Garcia-Febo, L.  (2019). Exploring AI: How libraries are starting to apply artificial intelligence in their work. American Libraries, March 1. https://americanlibrariesmagazine.org/2019/03/01/exploring-ai/

Griffey, J. (Ed.) (2019). Artificial Intelligence and Machine Learning in Libraries, Library Technology Reports 55(1). https://journals.ala.org/index.php/ltr/issue/view/709

Hartson, R., & Pardha, P. (2019). The UX Book: Agile UX design for a quality user experience. 2nd ed. Cambridge, MA: Morgan Kaufmann Publishers.

Johnson, B. (2018). Libraries in the age of artificial intelligence. Computers in Libraries, 38(1).  https://www.infotoday.com/cilmag/jan18/Johnson--Libraries-in-the-Age-of-Artificial-Intelligence.shtml

Kennedy, M. L. (2019). What do artificial intelligence (AI) and ethics of AI mean in the context of research libraries? Research Library Issues, no. 299 (September): 3-13. https://doi.org/10.29242/rli.299.1

Miller, J. (2020). The new library user: Machine learning. https://er.educause.edu/-/media/files/articles/2020/3/er20_1112.pdf

Mischo, W.H. et al. (2020). Discovery in 2020: Trends and User Behaviors, CNI 2020. https://www.cni.org/wp-content/uploads/2020/06/CNI_Discovery_Mischo.pdf

NMC Horizon Project. (2018). NMC Horizon Report Preview: 2018 Higher Education Edition. https://ppgtic.paginas.ufsc.br/files/2018/09/ok_Horizon-2018.pdf

Noble, S.U. (2018). Algorithms of oppression: How search engines reinforce racism. New York: New York University Press.

Padilla, T. (2019). Responsible operations: Data science, machine learning, and AI in libraries. OCLC Research. Dublin, OH. https://www.oclc.org/content/dam/research/publications/2019/oclcresearch-responsible-operations-data-science-machine-learning-ai.pdf

Reidsma, M. (2019). Masked by Trust: Bias in Library Discovery. Sacramento, CA: LibraryJuice Press.

West, S. M., Whittaker, M. & Crawford, K. (2019). Discriminating Systems: Gender, race and power in AI. New York: AI Now Institute. https://ainowinstitute.org/discriminatingsystems.pdf

Wheatley, A. & Hervieux, S. (2020). Artificial intelligence in academic libraries: An environmental scan. Information Services & Use, 39(4), 347-356. https://content.iospress.com/download/information-services-and-use/isu190065?id=information-services-and-use%2Fisu190065

Wood, B.A., & Evans, D.J. (2018).  Librarians' perceptions of artificial intelligence and its potential impact on the profession. Computers in Libraries, 38(1). https://www.infotoday.com/cilmag/jan18/Wood-Evans--Librarians-Perceptions-of-Artificial-Intelligence.shtml

Centers, Projects, Initiatives
Conferences and Workshops
Software/Tools

21 Open Source Libraries/Tools for Artificial Intelligence. https://addiai.com/artificial-intelligence-open-source-libraries/

Welch, S. (2020). Popular Python AI Libraries. https://blog.udacity.com/2020/05/popular-python-ai-libraries.html

Statistics Fundamentals

Trochim, W. M. K. (2020). Research Methods Knowledge Base. conjointly.com/kb/research-data-analysis/