Cyber & IT Supervisory Forum - Additional Resources

AI Transparency Resources

GAO-21-519SP - Artificial Intelligence: An Accountability Framework for Federal Agencies & Other Entities. Artificial Intelligence Ethics Framework for the Intelligence Community. WEF Companion to the Model AI Governance Framework- WEF - Companion to the Model AI Governance Framework, 2020. Datasheets for Datasets. United States Department of Health, Education, and Welfare's National Commission for the Protection of Human Subjects of Biomedical and Behavioral Research. The Belmont Report: Ethical Principles and Guidelines for the Protection of Human Subjects of Research. Volume II. United States Department of Health and Human Services Office for Human Research Protections. April 18, 1979. Office for Human Research Protections (OHRP). “45 CFR 46.” United States Department of Health and Human Services Office for Human Research Protections, March 10, 2021. URL Note: Federal Policy for Protection of Human Subjects (Common Rule). 45 CFR 46 (2018) Office for Human Research Protections (OHRP). “Human Subject Regulations Decision Chart.” United States Department of Health and Human Services Office for Human Research Protections, June 30, 2020. Jacob Metcalf and Kate Crawford. “Where Are Human Subjects in Big Data Research? The Emerging Ethics Divide.” Big Data and Society 3, no. 1 (2016). Boaz Shmueli, Jan Fell, Soumya Ray, and Lun-Wei Ku. "Beyond Fair Pay: Ethical Implications of NLP Crowdsourcing." arXiv preprint, submitted April 20, 2021. Divyansh Kaushik, Zachary C. Lipton, and Alex John London. "Resolving the Human Subjects Status of Machine Learning's Crowdworkers." arXiv preprint, submitted June 8, 2022. Office for Human Research Protections (OHRP). “International Compilation of Human Research Standards.” United States Department of Health and Human Services Office for Human Research Protections, February 7, 2022. National Institutes of Health. “Definition of Human Subjects Research.” NIH Central Resource for Grants and Funding Information, January 13, 2020. URL Joy Buolamwini and Timnit Gebru. “Gender Shades: Intersectional Accuracy Disparities in Commercial Gender Classification.” Proceedings of the 1st Conference on Fairness, Accountability and Transparency in PMLR 81 (2018): 77–91. URL References

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