42 Association of Research Libraries Research Library Issues 299 2019 to facilitate trust and accountability. As key stakeholders in the scholarly communications ecosystem being significantly disrupted by artificial intelligence, research libraries have a unique and important opportunity to shape the development, deployment, and use of intelligent systems in a manner consistent with the values of scholarship and librarianship. The area of explainable artificial intelligence is only one component of this, but in many ways, it may be the most important. Endnotes 1. Safiya Umoja Noble, Algorithms of Oppression: How Search Engines Reinforce Racism (New York: NYU Press, 2018), 1. 2. Frank Pasquale, The Black Box Society: The Secret Algorithms That Control Money and Information (Cambridge, MA: Harvard University Press, 2015), 8. 3. Jos de Mul and Bibi van den Berg, “Remote Control: Human Autonomy in the Age of Computer-Mediated Agency,” in Law, Human Agency and Autonomic Computing, ed. Mireille Hildebrandt and Antoinette Rouvroy (Abingdon, UK: Routledge, 2011). 4. Pasquale, Black Box Society, 18. 5. Mariarosaria Taddeo, “Trusting Digital Technologies Correctly,” Minds and Machines, 27 no. 4 (2017): 565–568, https://doi.org/10.1007/ s11023-017-9450-5. 6. Explainable Artificial Intelligence (XAI), Broad Agency Announcement DARPA-BAA-16-53 (Arlington, VA: DARPA, August 10, 2016), 5, http://www.darpa.mil/attachments/DARPA-BAA-16-53.pdf. 7. Matt Turek, “Explainable Artificial Intelligence (XAI),” DARPA, accessed August 30, 2019, https://www.darpa.mil/program/ explainable-artificial-intelligence.
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