AI and Libraries: A Bibliography

As part of the work I’ve been doing in this space I’ve collected a reasonable, working bibliography that might be helpful to others. I’m very interested in the early days of this area (hence the resources from the 1980s and 1990s) as well as contemporary work. Happy reading.

…Mike

Alberico, R., & Micco, M. (1990). Expert systems for reference and information retrieval. Meckler.

Aluri, R., & Riggs, D. E. (1988). Application of expert systems to libraries. Advances in Library Automation and Networking, 2, 1–43.

Aluri, R., & Riggs, D. E. (1990). Expert systems. In M. Gorman (Ed.), Convergence: Proceedings of the Second National conference of the Library and Information Technology Association, October 2-6, 1988, Boston, Massachusetts (pp. 169–178). American Library Association.

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://doi.org/10.1080/01930826.2017.1362912

Arny, P. (1990). A prototype expert system for library reference. In M. Gorman (Ed.), Convergence: Proceedings of the Second National conference of the Library and Information Technology Association, October 2-6, 1988, Boston, Massachusetts (pp. 179–182). American Library Association.

Bailey, C. W. (1991). Intelligent library systems: Artificial intelligence technology and library automation systems. Advances in Library Automation and Networking, 4, 1–23.

Bailey, C. W. (1993). The intelligent reference information system project. A merger of CD-ROM LAN and expert system technologies. Information Technology and Libraries, 11(3), 237–44.

Bailey, C. W. (1990). Building knowledge-based systems for public use: The intelligent reference systems project at the University of Houston Libraries. In M. Gorman (Ed.), Convergence: Proceedings of the Second National conference of the Library and Information Technology Association, October 2-6, 1988, Boston, Massachusetts (pp. 190–194). American Library Association.

Bailey, C. W., & Downes, R. N. (1993). Intelligent reference information system (IRIS). In J. V. Boettcher (Ed.), 101 success stories of information technology in higher education: The Joe Wyatt Challenge (pp. 402–407). McGraw-Hill.

Bailey, C. W., Fadell, J., Myers, J. E., & Wilson, T. C. (1989). The Index Expert system: A knowledge-based system to assist users in index selection. Reference Services Review, 17(4), 19–28.

Bailey, C. W., & Gunning, K. (1990). The intelligent reference information system. CD-ROM Librarian, 5(8), 10.

Bell, S. (2016). Promise and peril of AI for academic librarians. Library Journal. http://lj.libraryjournal.com/2016/04/opinion/steven-bell/promise-and-peril-of-ai-for-academic-librarians-from-the-bell-tower/

Beta Writer. (2019). Lithium-Ion Batteries: A Machine-Generated Summary of Current Research. Springer Nature. https://link.springer.com/book/10.1007/978-3-030-16800-1

Boman, C. (2019). An exploration of machine learning in libraries. Library Technology Reports, 55(1), 21–25.

Bourg, C. (2017, March 17). What happens to libraries and librarians when machines can read all the books? Feral Librarian. https://chrisbourg.wordpress.com/2017/03/16/what-happens-to-libraries-and-librarians-when-machines-can-read-all-the-books/

Bridy, A. (2012). Coding creativity: Copyright and the artificially intelligent author. Stanford Technology Law Review, 5. http://stlr.stanford.edu/pdf/bridy-coding-creativity.pdf

Buckland, M. K., & Florian, D. (1992). Expertise, task complexity, and artificial intelligence: A conceptual framework. Journal of the American Society for Information Science, 42(9), 635–43. <a href="https://doi.org/10.1002/(SICI)1097-4571(199110)42:9https://doi.org/10.1002/(SICI)1097-4571(199110)42:9<635::AID-ASI2>3.0.CO;2-L

Bush, V. (1945). As we may think. Atlantic Monthly, 176(July), 101–108.

Butkovich, N. J., Taylor, K. L., Dent, S. H., & Moore, A. S. (1989). An expert system at the reference desk: Impressions from users. The Reference Librarian, 23, 61–74.

Calhoun, K. (2014). Exploring digital libraries: Foundations, practice, prospects. Neal-Schuman.

Calvert, S. (2020). Emerging technologies for research and learning: Interviews with experts. Association of Research Libraries. https://www.arl.org/wp-content/uploads/2020/03/2020.03.25-emerging-technologies-interviews.pdf

Canadian Association of Research Libraries. (2017). Submission to the House of Commons Committee on Access to Information, Privacy and Ethics (ETHI Committee) hearings on the Personal Information Protection and Electronic Documents Act (PIPEDA). CARL. https://www.ourcommons.ca/Content/Committee/421/ETHI/Brief/BR8898600/br-external/CanadianAssociationOfResearchLibrairies-e.pdf

Canadian Federation of Library Associations. (2018). Artificial intelligence and intellectual freedom: Key policy concerns for Canadian libraries. CFLA. http://cfla-fcab.ca/wp-content/uploads/2018/07/CFLA-FCAB-2018-National-Forum-Paper-final.pdf

Cavanagh, J. M. (1989). Library applications of knowledge-based systems. The Reference Librarian, 23, 1–19.

Cerf, V. G. (2019). Libraries considered hazardous. Communications of the ACM, 62(2), 5. https://doi.org/10.1145/3302508

Chen, J. (2010). Artificial intelligence. In M. J. Bates & M. N. Maack (Eds.), Encyclopedia of library and information sciences (3rd ed., pp. 289–298). CRC Press.

Chu, H.-C., & Yang, S.-W. (2012). Innovative semantic web services for next generation academic electronic library via web 3.0 via distributed artificial intelligence. In J. S. Pan, S. M. Chen, & N. T. Nguyen (Eds.), Intelligent Information and Database Systems (pp. 118–124). Springer.

Coleman, C. (2017a, November 3). Artificial intelligence and the library of the future, revisited. Digital Library Blog. http://library.stanford.edu/blogs/digital-library-blog/2017/11/artificial-intelligence-and-library-future-revisited

Coleman, C. (2017b, November 3). Artificial intelligence and the library of the future, revisited. Digital Library Blog. https://library.stanford.edu/blogs/digital-library-blog/2017/11/artificial-intelligence-and-library-future-revisited

Conrad, L. Y. (2019, June 25). The robots are writing: Will machine-generated books accelerate our consumption of scholarly literature? The Scholarly Kitchen. https://scholarlykitchen.sspnet.org/2019/06/25/the-robots-are-writing-will-machine-generated-books-accelerate-our-consumption-of-scholarly-literature/

Cox, A. M., Pinfield, S., & Rutter, S. (2018). The intelligent library: Thought leaders’ views on the likely impact of artificial intelligence on academic libraries. Library Hi Tech. https://doi.org/10.1108/LHT-08-2018-0105

Elosua, J., Brede, A. S., Ritola, M., & Botev, V. (2018). Iris.ai’s project Aiur: An open, community-governed AI engine for knowledge validation. https://iris.ai/wp-content/uploads/2018/05/ProjectAiur_whitepaper.pdf

Enis, M. (2018). Technology: University opens AI lab in library. Library Journal, 143(17), 12–14.

Fernandez, P. (2016). “Through the looking glass: Envisioning new library technologies” how artificial intelligence will impact libraries. Library Hi Tech News, 33(5), 5–8. https://doi.org/10.1108/LHTN-05-2016-0024

Fister, B. (2020, March 9). Libraries and the practice of freedom in the age of algorithms. https://barbarafister.net/libraries/libraries-and-the-practice-of-freedom-in-the-age-of-algorithms/

Geist, M. (2017, June 2). Toward a Canadian knowledge transfer strategy: My appearance before the Standing Committee on Industry, Science and Technology. Michael Geist. http://www.michaelgeist.ca/2017/06/toward-canadian-knowledge-transfer-strategy-appearance-standing-committee-industry-science-technology/

Gorman, M. (Ed.). (1990). Convergence: Proceedings of the Second National Conference of the Library and Information Technology Association, October 2-6, 1988, Boston. American Library Association.

Gramatica, R. (2018). How AI will change libraries. https://www.youtube.com/watch?v=WyRLwoOBSec

Griffey, J. (Ed.). (2019). Artificial intelligence and machine learning in libraries. Library Technology Reports, 55(1). https://doi.org/10.5860/ltr.55n1

Griffey, J., & Webster, K. (2019). Artificial intelligence: Impacts and roles for libraries. https://www.youtube.com/watch v=R4Hk5l7Bvr4&feature=youtu.be

Harper, C. (2018). Machine learning and the library or: How I learned to stop worrying and love my robot overlords. Code4Lib, 41. https://journal.code4lib.org/articles/13671

Head, A. J., Fister, B., & MacMillan, M. (2020). Information literacy in the age of algorithms: Student experiences with news and information, and the need for change. Project Information Literacy. https://www.projectinfolit.org/uploads/2/7/5/4/27541717/algoreport.pdf

Henry, G. (2019). Research librarians as guides and navigators for AI policies at universities. Research Library Issues, 299, 47–64. https://doi.org/10.29242/rli.299.4

Herron, J. (2017). Intelligent agents for the library. Journal of Electronic Resources in Medical Libraries, 14(3–4), 139–144. https://doi.org/10.1080/15424065.2017.1367633

Hilt, K. (2017). What does the future hold for the law librarian in the advent of artificial intelligence? Canadian Journal of Information and Library Science, 41(3), 211–227.

Hristov, K. (2017). Artificial intelligence and the copyright dilemma. Idea, 57(3), 454.

Hsieh, C., & Hall, W. (1989). Survey of artificial intelligence and expert systems in library and information science literature. Information Technology and Libraries, 8(2), 209.

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

Johnson, S. A. (2019). Technology innovation and AI ethics. Research Library Issues, 299, 14–27. https://doi.org/10.29242/rli.299.2

Kennedy, C. A. (2019). You and AI. Against the Grain. https://www.against-the-grain.com/2019/05/artificial-intelligence-and-scholarly-communication/

Kennedy, M. L. (2019). What do artifical intelligence (AI) and ethics of AI mean in the context of research libraries? Research Library Issues, 299, 3–13. https://doi.org/10.29242/rli.299.1

Lancaster, F. W. (1993). Artificial intelligence and expert systems: How will they contribute? In F. W. Lancaster (Ed.), Libraries and the future: Essays on the library in the twenty-first century (pp. 147–156). Haworth Press.

Lancaster, F. Wilfrid, & Smith, L. C. (Eds.). (1992). Artificial intelligence and expert systems: Will they change the library. Graduate School of Library Science, University of Illinois at Urbana-Champaign. http://hdl.handle.net/2027/inu.30000029957960

Lankes, R. D. (2019, July 3). Decoding AI and libraries. R. David Lankes. https://davidlankes.org/decoding-ai-and-libraries/

Leung, S., Baildon, M., & Albaugh, N. (2019). Applying concepts of algorithmic justice to reference instruction, and collections work. MIT Libraries. https://dspace.mit.edu/handle/1721.1/122343

Licklider, J. C. R. (1960). Man-computer symbiosis. Human Factors in Electronics, IRE Transactions On, HFE-1(1), 4–11. https://doi.org/10.1109/THFE2.1960.4503259

Licklider, J. C. R. (1965). Libraries of the Future. MIT Press.

Lippincott, S. (2020). Mapping the current landscape of research library engagement with emerging technologies in research and learning. Association of Research Libraries. https://www.arl.org/wp-content/uploads/2020/03/2020.03.25-emerging-technologies-landscape-summary.pdf

Liu, G. (2011). The application of intelligent agents in libraries: A survey. Program: Electronic Library and Information Systems, 45(1), 78–97. https://doi.org/10.1108/00330331111107411

Liu, J., Liu, C., & Belkin, N. J. (2020). Personalization in text information retrieval: A survey. Journal of the Association for Information Science and Technology, 71(3), 349–369. https://doi.org/10.1002/asi.24234

Liu, X., Guo, C., & Zhang, L. (2014). Scholar metadata and knowledge generation with human and artificial intelligence. Journal of the Association for Information Science and Technology, 65(6), 1187–1201. https://doi.org/10.1002/asi.23013

Lynch, C. (2017). Stewardship in the “age of algorithms.” First Monday, 22(12). http://firstmonday.org/ojs/index.php/fm/article/view/8097

Massis, B. (2018). Artificial intelligence arrives in the library. Information and Learning Science, 119(7/8), 456–459. https://doi.org/10.1108/ILS-02-2018-0011

McDonald, C., & Weckert, J. (Eds.). (1991). Libraries and expert systems: Proceedings of a conference and workshop held at Charles Sturt University – Riverina, Australia, July 1990. Taylor Graham.

Miller, R. B., & Wolf, M. T. (Eds.). (1992). Thinking robots, an aware internet, and cyberpunk librarians. Library and Information Technology Association.

Morris, A. (Ed.). (1992). The Application of expert systems in libraries and information centres. Bowker-Saur.

Mostafa, J. (2018). Documents and (as) machines. Journal of the Association for Information Science and Technology, 69(1), 3–5. https://doi.org/10.1002/asi.23993

Nardi, B. A., & O’Day, V. (1996). Intelligent agents: What we learned at the library. Libri, 46, 59–88.

Neary, M. A., & Chen, S. X. (2017). Artificial intelligence: Legal research and law librarians. AALL Spectrum, 21(5). https://lawdigitalcommons.bc.edu/lsfp/1073/

Neill, S. D. (1980). Canadian libraries in 2001. Parabola Systems.

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

Nyce, J. M., & Kahn, P. (Eds.). (1991). From Memex to hypertext: Vannevar Bush and the mind’s machine. Academic Press.

Padilla, T. (2019). Responsible operations. Data science, machine learning, and AI in libraries. OCLC Research. https://doi.org/10.25333/xk7z-9g97

Padilla, Thomas, Allen, L., Frost, H., Potvin, S., Roke, E. R., & Varner, S. (2019). Always already computational: Collections as data. https://zenodo.org/record/3152935#.XnEmqJNKhTZ

Peters, S. E., Zhang, C., Livny, M., & Ré, C. (2014). A machine reading system for assembling synthetic paleontological databases. PLOS ONE, 9(12), e113523. https://doi.org/10.1371/journal.pone.0113523

Pinfield, S., Cox, A. M., & Rutter, S. (2017). Mapping the future of academic libraries. SCONUL. https://www.sconul.ac.uk/sites/default/files/documents/Mapping%20the%20Future%20of%20Academic%20Libraries%20Final%20proof_0.pdf

Pulla, P. (2019). The plan to mine the world’s research papers. Nature, 571(7765), 316–318. https://doi.org/10.1038/d41586-019-02142-1

Reidsma, M. (2016, March 11). Algorithmic bias in library discovery systems. https://matthew.reidsrow.com/articles/173

Reidsma, M. (2019). Masked by trust: Bias in library discovery. Litwin Books.

Ridley, M. (2019). Explainable artificial intelligence. Research Library Issues, 299, 28–46. https://doi.org/10.29242/rli.299.3

Robertson, C. A. (1990). Designated searchers with expert systems support: A model for the delivery of online information to scientists. In M. Gorman (Ed.), Convergence: Proceedings of the Second National conference of the Library and Information Technology Association, October 2-6, 1988, Boston, Massachusetts (pp. 183–189). American Library Association.

Rolan, G., Humphries, G., Jeffrey, L., & Samaras, E. (2018). More human than human? Artificial intelligence in the archive. Archives and Manuscripts, 1–25. https://doi.org/10.1080/01576895.2018.1502088

Ronzano, F., & Saggion, H. (2015). Dr. Inventor framework: Extracting structured information from scientific publications. In N. Japkowicz & S. Matwin (Eds.), Discovery Science (pp. 209–220). https://doi.org/10.1007/978-3-319-24282-8 18

Rubin, V. L., Chen, Y., & Thorimbert, L. M. (2010). Artificially intelligent conversational agents in libraries. Library Hi Tech, 28(4), 496–522. https://doi.org/10.1108/07378831011096196

Schafer, B., Komuves, D., Zatarain, J., & Diver, L. (2015). A fourth law of robotics? Copyright and the law and ethics of machine co-production. Artificial Intelligence and Law, 23(3), 217–240. https://doi.org/10.1007/s10506-015-9169-7

Schoenenberger, H., Chiarcos, C., & Schenk, N. (2019). Preface. In Beta Writer, Lithium-Ion Batteries: A Machine-Generated Summary of Current Research (pp. v–xxiii). Springer. https://link.springer.com/content/pdf/10.1007%2F978-3-030-16800-1.pdf

Schonfeld, R. C. (2017, July 18). Defining a new content type: The exploratory resource. The Scholarly Kitchen. https://scholarlykitchen.sspnet.org/2017/07/18/new-content-type-exploratory-resource/

Seeber, K. (2018). Teaching CRAAP to robots: Artificial intelligence, false binaries, and implications for information literacy. Critical Librarianship & Pedagogy Symposium, Tucson, AZ.

Smith, D. E. (1989). Reference expert systems: Humanizing depersonalized service. The Reference Librarian, 23, 177–190.

Smith, L. C. (1976). Artificial intelligence in information retrieval systems. Information Processing and Management, 12(3), 189–222. https://doi.org/10.1016/0306-4573(76)90005-4

Smith, L. C. (1981a). Citation analysis. Library Trends, 30(1), 83–106.

Smith, L. C. (1981b). Representation issues in information retrieval system design. ACM SIGIR Forum, 16(1), 100–105.

Smith, L. C. (1986). Knowledge-based systems, artificial intelligence and human factors. In P. Ingwersen, L. Kajberg, & A. M. Pejtersen (Eds.), Information technology and information use (pp. 98–110). Taylor Graham.

Smith, L. C. (1987). Artificial intelligence and information retrieval. In M. E. Williams (Ed.), Annual Review of Information Science and Technology (pp. 41–77). Elsevier.

Smith, L. C. (1989). Artificial intelligence: Relationships to research in library and information science. Journal of Education for Library and Information Science, 30(1), 55–56. https://doi.org/10.2307/40323500

Sparck Jones, K. (1991). The role of artificial intelligence in information retrieval. Journal of the American Society for Information Science, 42(8), 558–565.

Special Libraries Association. (1991). Expert systems and library applications: An SLA information kit. SLA.

Swanson, D. R. (1990). Medical literature as a potential source of new knowledge. Bulletin of the Medical Library Association, 78(1), 29–37.

Taskin, Z., & Al, U. (2019). Natural language processing applications in library and information science. Online Information Review, 43(4), 676–690. https://doi.org/10.1108/OIR-07-2018-0217

Tavosanis, M. L. A. (2017). Libraries, linguistics and artificial intelligence: J. C. R. Licklider and the libraries of the future. JLIS.It, Italian Journal of Library and Information Science, 8(3), 137. https://doi.org/10.4403/jlis.it-12271

Tay, A. (2017, April 9). How libraries might change when AI, machine learning, open data, block chain & other technologies are the norm. Musings about Librarianship. http://musingsaboutlibrarianship.blogspot.com/2017/04/how-libraries-might-change-when-ai.html

Tshitoyan, V., Dagdelen, J., Weston, L., Dunn, A., Rong, Z., Kononova, O., Persson, K. A., Ceder, G., & Jain, A. (2019). Unsupervised word embeddings capture latent knowledge from materials science literature. Nature, 571(7763), 95–100. https://doi.org/10.1038/s41586-019-1335-8

Walters, E. (2017). Artificial intelligence libraries. AALL Spectrum, 22(1), 21–23.

Watson, S. M. (2016). Towards a constructive technology criticism. Tow Center for Digital Journalism, Columbia University. https://www.cjr.org/tow_center_reports/constructive_technology_criticism.php

Wetherington, C., & Wagner, S. (2019). A comprehensive approach to algorithmic machine sorting of Library of Congress call numbers. Information Technology and Libraries, 38(4), 62–75. https://doi.org/10.6017/ital.v38i4.11585

Whitehair, K. (2016). Libraries in an artificially intelligent world. Public Libraries Online. http://publiclibrariesonline.org/2016/02/libraries-in-an-artificially-intelligent-world/

Wittmann, R., Neatrour, A., Cummings, R., & Myntti, J. (2019). From digital library to open datasets: Embracing a “collections as data” framework. Information Technology and Libraries, 38(4), 49–61. https://doi.org/10.6017/ital.v38i4.11101

Yelton, A. (2019). HAMLET: Neural-net-powered prototypes for library discovery. Library Technology Reports, 55(1), 10–15.

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