3,423
Views
5
CrossRef citations to date
0
Altmetric
Research

Artificial Intelligence and Robots in Libraries: Opportunities in LIS Curriculum for Preparing the Librarians of Tomorrow

ORCID Icon & ORCID Icon

References

  • Allison, D. (2012). Chatbots in the library: Is it time? Library Hi Tech, 30(1), 95–107. https://doi.org/10.1108/07378831211213238
  • American Library Association. (n.d.). Artificial intelligence. ALA. https://www.ala.org/tools/future/trends/artificialintelligence.
  • American Medical Association. (n.d.). Augmented intelligence in medicine. AMA. https://www.ama-assn.org/practice-management/digital/augmented-intelligence-medicine.
  • 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
  • Association for Information Science and Technology. (n.d.). Statement on AI ethics and the contributions of diverse voices in the discussion. ASIS&T. https://www.asist.org/2020/12/21/ethics-in-ai-statement/.
  • Australian Library and Information Association. (2019, May). ALIA submission in response to the CSIRO Data61 Artificial Intelligence: Australia’s Ethics Framework Discussion Paper, May 2019. ALIA. https://read.alia.org.au/alia-submission-response-csiro-data61-artificial-intelligence-australias-ethics-framework-discussion.
  • Australian Library and Information Association (ALIA). (2020). Foundation knowledge, skills and attributes for information professionals working in archives, libraries and records management https://www.alia.org.au/common/Uploaded%20files/ALIA-Docs/2021/Foundation_knowledge_skills_and_attributes_relevant_to_information_professionals.pdf.
  • Ayinde, L., & Kirkwood, H. (2020). Rethinking the roles and skills of information professionals in the 4th Industrial Revolution. Business Information Review, 37(4), 142–153. https://doi.org/10.1177/0266382120968057
  • Belpaeme, T., Kennedy, J., Ramachandran, A., Scassellati, B., & Tanaka, F. (2018). Social robots for education: A review. In Science Robotics (Vol. 3, Issue 21). American Association for the Advancement of Science. https://doi.org/10.1126/scirobotics.aat5954
  • Benson, M., & Willett, P. (2014). The information School at the University of Sheffield, 1963–2013. Journal of Documentation, 70(6), 1141–1158. https://doi.org/10.1108/JD-03-2013-0040
  • Blyth, C. R. (1972). On Simpson’s Paradox and the Sure-Thing Principle. Journal of the American Statistical Association, 67(338), 364–366. https://doi.org/10.2307/2284382
  • Burgess, J. T. F., & Knox, E. J. M. (Eds.). (2019). Foundations of information ethics. American Library Association.
  • Byrne, A. (2011). 2.1 Australia. Early adopters down under: Technology in Australian libraries. In R. Sharma (Ed.), Libraries in the early 21st century: An international perspective (Vol. 1, pp. 51–62). De Gruyter. https://doi.org/10.1515/9783110270631.51
  • Calvert, P. (2017). Robots, the quiet workers, are you ready to take over? Public Library Quarterly, 36(2), 167–172. https://doi.org/10.1080/01616846.2017.1275787
  • Chawner, B. (2015). Library and information studies education in New Zealand and Australia: Background, issues, and challenges. Journal of Education for Library and Information Science, 56(1), 17–26. https://doi.org/10.3138/jelis.56.s1.17
  • Clarke, R. I., & Schoonmaker, S. (2020). Metadata for diversity: Identification and implications of potential access points for diverse library resources. Journal of Documentation, 76(1), 173–196. https://doi.org/10.1108/JD-01-2019-0003
  • Cockshott, P., & Renaud, K. (2016). Humans, robots and values. Technology in Society, 45, 19–28. https://doi.org/10.1016/j.techsoc.2016.01.002
  • Corrado, E. M. (2021). Artificial intelligence: The possibilities for metadata creation. Technical Services Quarterly, 38(4), 395–405. https://doi.org/10.1080/07317131.2021.1973797
  • Cox, A. (2021b). The impact of AI, machine learning, automation and robotics on the information professions: A report for CILIP.
  • Cox, A. M. (2021a). Exploring the impact of artificial intelligence and robots on higher education through literature-based design fictions. International Journal of Educational Technology in Higher Education, 18(1), https://doi.org/10.1186/s41239-020-00237-8
  • 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.
  • Dawson D., Schleiger E., Horton J., McLaughlin J., Robinson C., Quezada G., Scowcroft J. & Hajkowicz S. (2019). Artificial Intelligence: Australia’s Ethics Framework. Data61 CSIRO, Australia.
  • Department of the Prime Minister and Cabinet. (2021). Digital Economy strategy: A leading Digital Economy and society by 2030. Commonwealth of Australia. https://digitaleconomy.pmc.gov.au/sites/default/files/2021-05/digital-Economy-strategy.Pdf.
  • Digital Preservation Coalition. (2020, March 17). DPC launches new office in Melbourne, Australia. DPC. https://www.dpconline.org/news/dpc-aus-office-launched.
  • Duarte, M. E., & Belarde-Lewis, M. (2015). Imagining: Creating spaces for indigenous ontologies. Cataloging & Classification Quarterly, 53(5–6), 677–702. https://doi.org/10.1080/01639374.2015.1018396
  • Edge, S. J. (2019). A subject ‘Queer’-y: A literature review on subject access to LGBTIQ materials. The Serials Librarian, 75(1–4), 81–90. https://doi.org/10.1080/0361526X.2018.1556190
  • Fernandez, P. (2016). Through the looking glass: Envisioning new library technologies’ understanding artificial intelligence. Library Hi Tech News, 33(3), 20–23. https://doi.org/10.1108/LHTN-03-2016-0013
  • Frederick, D. E. (2019). Information seeking in the age of the data deluge. Library Hi Tech News, 36(2), 6–10. https://doi.org/10.1108/LHTN-10-2018-0065
  • Frost, M., Goates, M., Cheng, S., & Johnston, J. (2020). Virtual reality: A survey of use at an academic library. Information Technology and Libraries, 39(1), 1. https://doi.org/10.6017/ITAL.V39I1.11369
  • Geiger, R. S., Cope, D., Ip, J., Lotosh, M., Shah, A., Weng, J., & Tang, R. (2021). ‘Garbage in, garbage out’ revisited: What do machine learning application papers report about human-labeled training data? Quantitative Science Studies, 2(3), 795–827. https://doi.org/10.1162/qss_a_00144
  • Gibbons, L., & White, H. (2019). A comparative study of LIS accreditation frameworks in Australia, New Zealand, United States, and Canada. Journal of Education for Library and Information Science, 60(4), 241–264. https://doi.org/10.3138/jelis.2018-0040
  • Harper, C. (2018). Machine learning and the library or: How I learned to stop worrying and love my robot overlords. Code4Lib, no. 41. https://journal.code4lib.org/articles/13671.
  • Harris-Pierce, R. L., & Quan Liu, Y. (2012). Is data curation education at library and information science schools in North America adequate? New Library World, 113(11/12), 598–613. https://doi.org/10.1108/03074801211282957
  • Hervieux, S., & Wheatley, A. (2021). Perceptions of artificial intelligence: A survey of academic librarians in Canada and the United States. Journal of Academic Librarianship, 47(1), https://doi.org/10.1016/j.acalib.2020.102270
  • Higgins, S. (2018). Digital curation: The development of a discipline within information science. Journal of Documentation, 74(6), 1318–1338. doi:10.1108/JD-02-2018-0024
  • High-Level Expert Group on Artificial Intelligence (AI HLEG). (2019). Ethics guidelines for trustworthy AI. European Commission. https://ec.europa.eu/digital-single-market/en/news/ethics-guidelines-trustworthy-ai.
  • Howard, K., Partridge, H., Hughes, H., & Oliver, G. (2016). Passion trumps pay: A study of the future skills requirements of information professionals in galleries, libraries, archives and museums in Australia. Information Research: An International Electronic Journal, 21(2), n2.
  • Igbinovia, M.O. & Okuonghae, O. (2021), Internet of Things in contemporary academic libraries: application and challenges. Library Hi Tech News, 38(5), 1–4. https://doi.org/10.1108/LHTN-05-2021-0019
  • Johnson, B. (2018). Libraries in the age of artificial intelligence. Computers in Libraries, 38(1), 14–16.
  • Johnson, S. L. J. (2019). AI, machine learning, and ethics in health care. Journal of Legal Medicine, 39(4), 427–441. https://doi.org/10.1080/01947648.2019.1690604
  • Kilkenny, M. F., & Robinson, K. M. (2018). Data quality: ‘Garbage in – garbage out’. Health Information Management Journal, 47(3), 103–105. https://doi.org/10.1177/1833358318774357
  • Lapuschkin, S., Wäldchen, S., Binder, A., Montavon, G., Samek, W., & Müller, K.-R. (2019). Unmasking Clever Hans predictors and assessing what machines really learn. Nature Communications, 10(1096), https://doi.org/10.1038/s41467-019-08987-4
  • Llewellyn, A. (2019). Innovations in learning and teaching in academic libraries: A literature review. In New Review of Academic Librarianship, 25(2–4), 129–149. https://doi.org/10.1080/13614533.2019.1678494
  • Lund, B. D., Omame, I., Tijani, S., & Agbaji, D. (2020). Perceptions toward artificial intelligence among academic library employees and alignment with the diffusion of innovations’ adopter categories. College & Research Libraries, 81(5), 865–882. https://doi.org/10.5860/crl.81.5.865
  • Magrabi, F., Ammenwerth, E., McNair, J. B., De Keizer, N. F., Hyppönen, H., Nykänen, P., Rigby, M., Scott, P. J., Vehko, T., Wong, Z. S. Y., & Georgiou, A. (2019). Artificial intelligence in clinical decision support: Challenges for evaluating AI and practical implications. Yearbook of Medical Informatics, 28(1), 128–134. https://doi.org/10.1055/s-0039-1677903
  • Marcella, R., & Oppenheim, C. (2020). Does education in library and information studies in the United Kingdom have a future? Education for Information, 36(4), 411–440. https://doi.org/10.3233/EFI-200370
  • Massis, B. (2018). Artificial intelligence arrives in the library. Information and Learning Sciences, 119(7–8), 456–459. https://doi.org/10.1108/ILS-02-2018-0011
  • McNeal, M. L., & Newyear, D. (2013). Streamlining information services using chatbots. Library Technology Reports, 49(8).
  • Miller, S. (2014). Collaborative approaches needed to close the big data skills gap. Journal of Organization Design, 3(1), 26–30. https://doi.org/10.7146/jod.9823
  • Mohamed, S., Png, M.-T., & Isaac, W. (2020). Decolonial AI: Decolonial theory as sociotechnical foresight in artificial intelligence. Philosophy & Technology, 33(4), 659–684. https://doi.org/10.1007/s13347-020-00405-8
  • Murdoch, B. (2021). Privacy and artificial intelligence: Challenges for protecting health information in a new era. BMC Ethics, 22(122), https://doi.org/10.1186/s12910-021-00687-3
  • Nakamura, K. (2021). Information seeking criteria: Artificial intelligence, economics, psychology, and neuroscience. Reviews in the Neurosciences, 33(1), https://doi.org/10.1515/revneuro-2020-0137
  • Nguyen, L. C. (2020). The impact of humanoid robots on Australian public libraries. Journal of the Australian Library and Information Association, 69(2), 130–148. https://doi.org/10.1080/24750158.2020.1729515
  • Obermeyer, Z., Powers, B., Vogeli, C., & Mullainathan, S. (2019). Dissecting racial bias in an algorithm used to manage the health of populations. Science, 366(6464), 447–453. https://doi.org/10.1126/science.aax2342
  • Ortiz-Repiso, V., Greenberg, J., & Calzada-Prado, J. (2018). A cross-institutional analysis of data-related curricula in information science programmes: A focused look at the iSchools. Journal of Information Science, 44(6), 768–784. https://doi.org/10.1177/0165551517748149
  • Partridge, H., Hider, P., Burford, S., & Ellis, L. (2014). Who are Australia’s information educators? The Australian Library Journal, 63(4), 275–291. https://doi.org/10.1080/00049670.2014.966409
  • Patton, M. Q. (2002). Qualitative research and evaluation methods. Sage.
  • Preer, J. L. (2006). ‘Louder please’: Using historical research to foster professional identity in LIS students. Libraries & the Cultural Record, 41(4), 487–496. https://doi.org/10.1353/lac.2006.0064
  • Royal Australian College of General Practitioners. (n.d.). Artificial intelligence in primary care. RACGP. https://www.racgp.org.au/advocacy/position-statements/view-all-position-statements/clinical-and-practice-management/artificial-intelligence-in-primary-care.
  • Saldeen, N. A. (2020). Artificial intelligence chatbots for library reference services. Journal of Management Information and Decision Sciences, 23(1).
  • Tait, E., Martzoukou, K., & Reid, P. (2016). Libraries for the future: The role of IT utilities in the transformation of academic libraries. Palgrave Communications, 2(1), 1–9. https://doi.org/10.1057/palcomms.2016.70
  • Talley, N. B. (2016). Imagining the use of intelligent agents and artificial intelligence in academic law libraries. Law Library Journal, 108(3), 383–402.
  • Um, A. Y., & Feather, J. (2007). Education for information professionals in the UK. The International Information & Library Review, 39(3–4), 260–268. https://doi.org/10.1080/10572317.2007.10762754
  • United Nations. (2021, September 15). Urgent action needed over artificial intelligence risks to human rights. UN News. https://news.un.org/en/story/2021/09/1099972.
  • Vincze, J. (2017). Virtual reference librarians (Chatbots). Library Hi Tech News, 34(4), 5–8. https://doi.org/10.1108/LHTN-03-2017-0016
  • Wang, Y., & Kosinski, M. (2018). Deep neural networks are more accurate than humans at detecting sexual orientation from facial images. Journal of Personality and Social Psychology, 114(2), 246–257. https://doi.org/10.1037/pspa0000098
  • Weatherburn, J., & Harvey, R. (2016). Finding and forming the bold and the fearless: The future of LIS education in Australia. The Australian Library Journal, 65(4), 251–261. https://doi.org/10.1080/08164649.2016.1237946
  • Weyerer, J. C., & Langer, P. F. (2019, June 18–20). Garbage In, Garbage Out: The vicious cycle of AI-based discrimination in the public sector [Conference Paper]. Proceedings of the 20th Annual International Conference on Digital Government Research, Dubai. https://doi.org/10.1145/3325112.3328220
  • Wheatley, A., & Hervieux, S. (2019). Artificial intelligence in academic libraries: An environmental scan. Information Services & Use, 39(4), 347–356. https://doi.org/10.3233/isu-190065
  • Williams, R. (2019). Artificial intelligence assistants in the library Siri, Alexa, and beyond. Online Searcher, 43(3), 10–14.
  • Wilson, H. J., & Daugherty, P. R. (2018). Collaborative intelligence: Humans and AI are joining forces. Harvard Business Review, 96(4), 114–123.
  • Winkler, R., & Söllner, M. (2018). Unleashing the potential of chatbots in education: a state-of-the-art analysis. Academy of Management Annual Meeting (AOM), Chicago, USA.
  • Wood, B. A., & Evans, D. (2018). Librarians’ perceptions of artificial intelligence and its potential impact on the profession. Computers in Libraries, 38(1), 116–124. https://doi.org/10.1177/0266382120952016
  • Yoon, J. W., Andrews, J. E., & Ward, H. L. (2021). Perceptions on adopting artificial intelligence and related technologies in libraries: Public and academic librarians in North America. Library Hi Tech, 37(3), https://doi.org/10.1108/LHT-07-2021-0229
  • Zhou, Q., Zuley, M., Guo, Y., Yang L., Nair B., Vargo A., Ghannam S., Arefan D., & Wu S. (2021). A machine and human reader study on AI diagnosis model safety under attacks of adversarial images. Nature Communications, 12(7281), https://doi.org/10.1038/s41467-021-27577-x

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.