Cyber & IT Supervisory Forum - Additional Resources

Sasha Costanza-Chock. Design Justice: Community-Led Practices to Build the Worlds We Need. Cambridge: The MIT Press, 2020. David G. Robinson. Voices in the Code: A Story About People, Their Values, and the Algorithm They Made. New York: Russell Sage Foundation, 2022. Fernando Delgado, Stephen Yang, Michael Madaio, and Qian Yang. "Stakeholder Participation in AI: Beyond 'Add Diverse Stakeholders and Stir.'" arXiv preprint, submitted November 1, 2021. George Margetis, Stavroula Ntoa, Margherita Antona, and Constantine Stephanidis. “Human-Centered Design of Artificial Intelligence.” In Handbook of Human Factors and Ergonomics, edited by Gavriel Salvendy and Waldemar Karwowski, 5th ed., 1085–1106. John Wiley & Sons, 2021. Ben Shneiderman. Human-Centered AI. Oxford: Oxford University Press, 2022 Batya Friedman, David G. Hendry, and Alan Borning. “A Survey of Value Sensitive Design Methods.” Foundations and Trends in Human-Computer Interaction 11, no. 2 (November 22, 2017): 63–125. Batya Friedman, Peter H. Kahn, Jr., and Alan Borning. "Value Sensitive Design: Theory and Methods." University of Washington Department of Computer Science & Engineering Technical Report 02-12-01, December 2002. Emanuel Moss, Elizabeth Watkins, Ranjit Singh, Madeleine Clare Elish, and Jacob Metcalf. “Assembling Accountability: Algorithmic Impact Assessment for the Public Interest.” SSRN, July 8, 2021. Alexandra Reeve Givens, and Meredith Ringel Morris. “Centering Disability Perspectives in Algorithmic Fairness, Accountability, & Transparency.” FAT* '20: Proceedings of the 2020 Conference on Fairness, Accountability, and Transparency, January 27, 2020, 684-84. How easily accessible and current is the information available to external stakeholders? What type of information is accessible on the design, operations, and limitations of the AI system to external stakeholders, including end users, consumers, regulators, and individuals impacted by use of the AI system? GAO-21-519SP - Artificial Intelligence: An Accountability Framework for Federal Agencies & Other Entities. WEF Companion to the Model AI Governance Framework – Implementation and Self-Assessment Guide for Organizations AI Transparency Resources References

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