EDUCAUSE has released the Horizon Report 2018 Higher Education Edition.
Here's an excerpt:
The Horizon Report highlights six trends, six challenges, and six developments relating to educational technology and practices that are likely to enter mainstream use within their focus sectors over the next five years (2018–22).
Charlie Harper has published "Machine Learning and the Library or: How I Learned to Stop Worrying and Love My Robot Overlords" in he Code4Lib Journal.
Here's an excerpt:
Machine learning algorithms and technologies are becoming a regular part of daily life – including life in the libraries. Through this article, I hope to:
* To introduce the reader to the basic terminology and concepts of machine learning
* To make the reader consider the potential ethical and privacy issues that libraries will face as machine learning permeates society
* To demonstrate hypothetical possibilities for applying machine learning to circulation and collections data using TensorFlow/Keras and open datasets
For a look at earlier AI activity in libraries, see: “Artificial Intelligence in Libraries in the Late 1980's and Early 1990's.”
In the late 1980's and early 1990's, academic libraries were creating prototype and operational expert systems using expert system shells and logic programming languages, such as Prolog.
A snapshot of this activity in ARL libraries is:
Expert Systems in ARL Libraries, SPEC Kit 174. Bailey, Charles W., Jr., and Judy E. Myers. Washington, DC: Association of Research Libraries, 1991.
In-depth treatments include:
Alberico, Ralph, and Mary Micco. Expert Systems For Reference and Information Retrieval. Westport: Meckler, 1990.
Aluri, Rao., and Donald E. Riggs, eds. Expert Systems in Libraries. Norwood, N.J.: Ablex, 1990.
You can get a sense of the AI activities in research libraries during this period by reading articles about the University of Houston Libraries' grant-funded Intelligent Reference Information System Project, which was prototyped in expert system shells and completed in Prolog. The Prolog code was freely distributed to over 500 libraries and other institutions (on floppy disk!).
Bailey, Charles W., Jr., and Robin N. Downes. "Intelligent Reference Information System (IRIS)," In 101 Success Stories of Information Technology in Higher Education: The Joe Wyatt Challenge," ed. Judith V. Boettcher, 402-407. New York: McGraw-Hill, 1993.
Bailey, Charles W., Jr. "The Intelligent Reference Information System Project: A Merger of CD-ROM LAN and Expert System Technologies." Information Technology and Libraries 11 (September 1992): 237-244.
Bailey, Charles W., Jr., and Thomas C. Wilson. "The Intelligent Reference Information System CD-ROM Network." In Library LANs: Case Studies in Practice and Application, ed. Marshall Breeding, 157-171. Westport, CT: Meckler, 1992.
Bailey, Charles W., Jr. "Building Knowledge-Based Systems for Public Use: The Intelligent Reference Systems Project at the University of Houston Libraries." In Convergence: Proceedings of the Second National Conference of the Library and Information Technology Association, October 2-6, 1988, ed. Michael Gorman, 190-194. Chicago: American Library Association., 1990.
Bailey, Charles W., Jr., and Kathleen Gunning. "The Intelligent Reference Information System." CD-ROM Librarian 5 (September 1990): 10-19.
Bailey, Charles W., Jr., Jeff Fadell, Judy E. Myers, and Thomas C. Wilson. "The Index Expert System: A Knowledge-Based System to Assist Users in Index Selection." Reference Services Review 17, no. 4 (1989): 19-28.
For an example of contemporaneous thinking about AI potentials among librarians, see:
Bailey, Charles W., Jr. "Intelligent Library Systems: Artificial Intelligence Technology and Library Automation Systems." In Advances in Library Automation and Networking, vol. 4, ed. Joe A. Hewitt, 1-23. Greenwich, CT: JAI Press, 1991.
There has been very little activity in this area since the turn of the 21st century, but here's an example:
Ma, Wei. "A Database Selection Expert System Based on Reference Librarian's Database Selection Strategy: A Usability and Empirical Evaluation." Journal of the American Society for Information Science & Technology, 53 no. 7 (2002): 567-580.
Twenty-six authors from 14 institutions have released The Malicious Use of Artificial Intelligence: Forecasting, Prevention, and Mitigation.
Here's an excerpt:
This report surveys the landscape of potential security threats from malicious uses of artificial intelligence technologies, and proposes ways to better forecast, prevent, and mitigate these threats. We analyze, but do not conclusively resolve, the question of what the long-term equilibrium between attackers and defenders will be. We focus instead on what sorts of attacks we are likely to see soon if adequate defenses are not developed