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.


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.

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.

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.

Ex Libris. (2018). Artificial Intelligence in the Library: Advantages, Challenges and Tradition: An Ex Libris Whitepaper. Whitepaper.

Floridi, L. & Cowls, J. (2019). A unified framework of five principles for AI in society. Harvard Data Science Review, 1(1).

Garcia-Febo, L.  (2019). Exploring AI: How libraries are starting to apply artificial intelligence in their work. American Libraries, March 1.

Griffey, J. (Ed.) (2019). Artificial Intelligence and Machine Learning in Libraries, Library Technology Reports 55(1).

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).

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.

Miller, J. (2020). The new library user: Machine learning.

Mischo, W.H. et al. (2020). Discovery in 2020: Trends and User Behaviors, CNI 2020.

NMC Horizon Project. (2018). NMC Horizon Report Preview: 2018 Higher Education Edition.

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.

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.

Wheatley, A. & Hervieux, S. (2020). Artificial intelligence in academic libraries: An environmental scan. Information Services & Use, 39(4), 347-356.

Wood, B.A., & Evans, D.J. (2018).  Librarians' perceptions of artificial intelligence and its potential impact on the profession. Computers in Libraries, 38(1).

Centers, Projects, Initiatives
Conferences and Workshops

21 Open Source Libraries/Tools for Artificial Intelligence.

Welch, S. (2020). Popular Python AI Libraries.

Statistics Fundamentals

Trochim, W. M. K. (2020). Research Methods Knowledge Base.