1. Smith, B.: “Facial recognition: It’s time for action,” https://blogs.microsoft.com/on-the-issues/2018/12/06/facial-recognition-its-time-for-action (2018) Accessed Oct. 7, 2019
2. Diakopoulos, N., Friedler, S.: “How to hold algorithms accountable,” MIT Technology Review, Nov. 17, 2016, https://www.technologyreview.com/s/602933/how-to-hold-algorithms-accountable (2016) Accessed Oct. 12, 2019
3. Simonite, T.: “The best algorithms struggle to recognize black faces equally,”wired.com, July 22, 2019, https://www.wired.com/story/best-algorithms-struggle-recognize-black-faces-equally (2019) Accessed January 8, 2023
4. Buolamwini, J., Gebru, T.: Gender shades: Intersectional accuracy disparities in commercial gender classification. Proc. Mach. Learn. Res. 81, 1–15 (2018)
5. DeGuerin, M.: “Here is a list of every animal humans currently monitor using facial recognition technology,” New York Magazine, Oct. 12, 2018, http://nymag.com/developing/2018/10/what-creatures-may-we-place-in-the-panopticon.html (2018) Accessed January 8, 2023