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Cordell, R. (2020). Machine learning + libraries—A report on the state of the field (pp. 1–97). Library of Congress. https://labs.loc.gov/static/labs/work/reports/Cordell-LOC-ML-report.pdf?loclr=blogsig (See More ⮕)

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Eileen Jakeway, Lauren Algee, Laurie Allen, Meghan Ferriter, Jaime Mears, Abigail Potter, & Kate Zwaard. (2020). Machine learning + libraries summit event summary (pp. 1–39). Library of Congress. https://labs.loc.gov/static/labs/meta/ML-Event-Summary-Final-2020-02-13.pdf?loclr=blogsig (See More ⮕)

Emerging Technology Community of Interest. (2020a). AI playbook for the U.S. federal government (pp. 1–82). ACT-IAC. https://www.actiac.org/documents/act-iac-white-paper-artificial-intelligence-playbook (See More ⮕)

Emerging Technology Community of Interest. (2020b). Ethical application of AI framework (pp. 1–32). ACT-IAC. https://www.actiac.org/documents/act-iac-white-paper-artificial-intelligence-playbook (See More ⮕)

European Commission. (2020). White paper on artificial intelligence: A european approach to excellence and trust (pp. 1–27). European Commission. https://commission.europa.eu/document/download/d2ec4039-c5be-423a-81ef-b9e44e79825b_en?filename=commission-white-paper-artificial-intelligence-feb2020_en.pdf (See More ⮕) 

EuropeanaTech AI. (2023). AI in relation to GLAMs—Final report (pp. 1–24). EuropeanaTech AI.  https://pro.europeana.eu/files/Europeana_Professional/Europeana_Network/Europeana_Network_Task_Forces/Final_reports/AI%20in%20relation%20to%20GLAMs%20Task%20Force%20Report.pdf (See More ⮕)

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Hasselbalch, G., Olsen, B. K., & Tranberg, P. (2020). White paper on data ethics in public procurement of AI-based services and solutions (pp. 1–54). DataEthics.eu. https://dataethics.eu/wp-content/uploads/dataethics-whitepaper-april-2020.pdf (See More ⮕) 

Hawn Nelson, A., Jenkins, D., Zanti, S., Katz, M., Berkowitz, E., Burnett, T., & Culhane, D. (2020). A toolkit for centering racial equity throughout data integration (pp. 1–76). Actionable Intelligence for Social Policy. https://aisp.upenn.edu/wp-content/uploads/2020/07/AISP-Toolkit_5.27.20.pdf (See More ⮕)

LC PCC (Program for Cooperative Cataloging). (2024). PCC task group on AI and machine learning for cataloging and metadata: Final report 2024 (pp. 1–30). Library of Congress Program for Cooperative Cataloging. https://www.loc.gov/aba/pcc/taskgroup/TG-Strategic-Planning-AI-final-report.pdf (See More ⮕)

Leslie, D., Burr, C., Aitken, M., Katell, M., Briggs, M., & Rincon, C. (2022). Human rights, democracy, and the rule of law assurance framework for AI systems: A proposal (pp. 1–335). Alan Turing Institute. https://doi.org/10.5281/zenodo.5981676 (See More ⮕)

Lo, L. S., & Vitale, C. H. (2024). Evolving AI strategies in libraries: Insights from two polls of ARL member representatives over nine months (pp. 1–27). Association of Research Libraries. https://doi.org/10.29242/report.aipolls2023 (See More ⮕)

Lorang, E., Soh, L.-K., Liu, Y., & Pack, C. (2020). Digital libraries, intelligent data analytics, and augmented description: A demonstration project (pp. 1–46). Library of Congress. https://digitalcommons.unl.edu/libraryscience/396 (See More ⮕)

Luba Pirgova-Morgan. (2023). AI in libraries report: Looking towards a brighter future: The potentiality of AI and digital transformations to library spaces (pp. 1–112). University of Leeds Libraries. https://library.leeds.ac.uk/downloads/download/196/artificial-intelligence-ai-in-libraries (See More ⮕)

Narayanan, M., & Schoeberl, C. (2023). A matrix for selecting responsible AI frameworks (pp. 1–35). Center for Security and Emerging Technology. https://doi.org/10.51593/20220029 (See More ⮕)

Shawn Averkamp, Kerri Willette, Amy Rudersdorf, & Meghan Ferriter. (2021). Humans-in-the-loop recommendations report (pp. 1–97). Library of Congress. https://labs.loc.gov/static/labs/work/reports/LC-Labs-Humans-in-the-Loop-Recommendations-Report-final.pdf (See More ⮕)