[223] Brent Daniel Mittelstadt and Luciano Floridi. The ethics of big data: current and foreseeable issues in biomedical contexts. The ethics of biomedical big data, pages 445-480, 2016.
[224] Ali Mollahosseini, Behzad Hasani, and Mohammad H Mahoor. Affectnet: A database for facial expression, valence, and arousal computing in the wild. IEEE Transactions on Affective Computing, 10(1):18-31, 2017.
[225] Carl-Maria Mörch, Abhishek Gupta, and Brian L Mishara. Canada protocol: An ethical checklist for the use of artificial intelligence in suicide prevention and mental health. Artificial intelligence in medicine, 108:e101934-e101934, 2020.
[226] Stylianos Moschoglou, Athanasios Papaioannou, Christos Sagonas, Jiankang Deng, Irene Kotsia, and Stefanos Zafeiriou. Agedb: the first manually collected, in-the-wild age database. In IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), pages 51-59, 2017.
[227] Emad Mostaque (Stability AI). We actually used 256 a100s for this per the model card, 150k hours in total so at market price $600k. https://twitter.com/emostaque/status/1563870674111832066, August 2022. [Accessed August 12, 2023].
[228] Jessica Mudditt. The nation where your 'faceprint' is already being tracked. https://www.bbc.com/future/article/20220616-the-nation-where-your-faceprint-is-already-being-tracked, 2022. [Accessed June 30, 2022].
[229] Guilherme Nascimento, Camila Laranjeira, Vinicius Braz, Anisio Lacerda, and Erickson R. Nascimento. A robust indoor scene recognition method based on sparse representation. In Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, pages 408-415. Springer, 2018.
[230] National Commission for the Protection of Human Subjects of Biomedical and Behavioral Research, Bethesda, Md. The Belmont report: Ethical principles and guidelines for the protection of human subjects of research. Superintendent of Documents, 1978.
[231] National Health and Medical Research Council. Payment of participation in research: information for researchers, hrecs and other ethics review bodies. https://www.nhmrc.gov.au/about-us/publications/payment-participants-research-information-researchers-hrecs-and-other-ethics-review-bodies, 2019. [Accessed May 12, 2023].
[232] National Institutes of Health - Division of Program Coordination, Planning and Strategic Initiatives. Gender pronouns & their use in workplace communications. https://dpcpsi.nih.gov/sgmro/gender-pronouns-resource, 2022. [Accessed November 24, 2022].
[233] National People's Congress. Personal information protection law. https://personalinformationprotectionlaw.com/, 2021. [Accessed November 12, 2022].
[234] Cornelia Neuert, Katharina Meitinger, Dorothée Behr, and Matthias Schonlau. The use of open-ended questions in surveys. Methods, data, analyses: a journal for quantitative methods and survey methodology (mda), 15(1):3-6, 2021.
[235] Lokesh P Nijhawan, Manthan D Janodia, BS Muddukrishna, Krishna Moorthi Bhat, K Laxminarayana Dairy, Nayanabhirama Udupa, Prashant B Musmade, et al. Informed consent: Issues and challenges. Journal of advanced pharmaceutical technology & research, 4(3):134, 2013.
[236] Zhenxing Niu, Mo Zhou, Le Wang, Xinbo Gao, and Gang Hua. Ordinal regression with multiple output cnn for age estimation. In IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pages 4920-4928, 2016.
[237] Roosa Norja, Linda Karlsson, Jan Antfolk, Thomas Nyman, and Julia Korkman. How old was she? the accuracy of assessing the age of adolescents' based on photos. Nordic Psychology, 74(1):70-85, 2022.
[238] Brian A Nosek and Daniel Lakes. Registered reports, 2014.