Abstract
The article analyzes the problems and prospects of using recognition technologies for human faces. The authors note that their development over recent years brings together the problems of the right to a personal image and the right to privacy, enshrined in the constitutions of most democratic countries. This is due to the fact that these technologies make it difficult, and, in some cases, impossible (or inappropriate) to use traditional legal mechanisms to protect these rights. In this regard, the authors propose to extend the concept of personal integrity to the “digital forms of existence” of an individual reflected in personal images, videos, virtual accounts, etc.
The authors propose to put some approaches formulated in the article as the basis of the legal regulation of the use of facial processing technologies. In particular, there should be a legislative ban on the development and use of programs and systems that search and process photo and video images that are not publicly available, and legal liability measures should be established for its violation. On the contrary, a person’s posting of such information in the public domain should be interpreted as his consent to their search and comparison.
Otherwise, issues should be resolved with the processing of photo and video images, as a result of which they are subjected to various kinds of distortions. Although the prohibition on creating such fakes is unreasonable, their publication and distribution may be restricted by law.
The study was conducted within the grant project 20-011-00355 from the Russian Foundation for Basic Research.
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References
Moghaddam, B., Pentland, A.: Probabilistic Visual Learning for Object Representation. IEEE Trans. Pattern Anal. Mach. Intell. 19, 696–710 (1997)
Belhumeur, P., Hespanha, J., Kriegman, D.: Eigenfaces vs fisherfaces: recognition using class specific linear projection. IEEE Trans. Pattern Anal. Mach. Intell. 19, 711–720 (1997)
Samaria, F.: Face recognition using hidden markov models. PhD thesis, Engineering Department, Cambridge University (1994)
Foltyniewicz, R.: Efficient high order neural network for rotation, translation and distance invariant recognition of gray scale images. In: Lecture Notes in Computer Science - Computer Analysis of Images and Patterns, pp. 424–431 (1995)
Brunelli, R., Poggio, T.: Face recognition: features versus templates. IEEE Trans. Pattern Anal. Machine Intell. 15(10), 235–241 (1993)
Oka, K., Sato, Y., Koike, H.: Real time fingertip tracking and gesture recognition. Proc. IEEE Comput. Graph. Appl. 22(6), 64–71 (2002)
Turk, M., Pentland, A.: Eigen faces for recognition. Cognitive Neurosci. 3(1), 71–86 (1991)
Senan, M., Abdullah, S., Kharudin, W., Saupi N.: CCTV quality assessment for forensics facial recognition analysis. In: 7th International Conference on Cloud Computing, Data Science & Engineering, Confluence, Noida, pp. 649–655 (2017)
Kong, S., Heo, J., Abidi, B., Paik, J., Abidi, M.: Recent advances in visual and infrared face recognition - a review. J. Comput. Vis. Image Understanding 97(1), 103–135 (2005)
Hamouz, M., Tena, J.R., Kittler, J., Hilton, A., Illingworth, J.: 3D assisted face recognition: a survey. In: Koschan A., Pollefeys M., Abidi M. (eds.) 3D Imaging for Safety and Security. Computational Imaging and Vision, vol 35. Springer, Dordrecht (2007)
Celine, J., Agustin, S.: A summary of literature review: face recognition. Int. J. Eng. Sci. Res. Technol. 8, 91–94 (2019)
Tolba, A., El-Baz, A., El-Harby, A.: Face recognition: a literature review. Int. J. Signal Process. 2, 88–103 (2005)
Kaur, P., Krishan, K., Sharma, S.K., Kanchan, T.: Facial-recognition algorithms: a literature review. Medicine, Science and the Law. https://doi.org/10.1177/0025802419893168 (2020)
Phillips, P.J., Moon, H., Rizvi, S., Rauss, P.: The FERET evaluation methodology for face-recognition algorithms. IEEE Trans. Pattern Anal. Machine Intell. 22, 1090–1104 (2000). https://doi.org/10.1109/34.879790
Kostinger, P.W.P.R., Kostinger, H.B.M.: Annotated facial landmarks in the wild. In: IEEE International Conference. Computer Vision Workshops, pp. 2144–2151 (2011)
Wright, E.: The future of facial recognition is not fully known: developing privacy and security regulatory mechanisms for facial recognition in the retail sector, 29 FordhamIntell. Prop. Media & Ent. L.J. 611 (2019). https://ir.lawnet.fordham.edu/iplj/vol29/iss2/6
Ruhrmann, H.: Protecting human rights in policy strategies for facial recognition technologyin law enforcement. Case Studies from the United Kingdom and the United States. CITRIS Policy Lab (2019). https://citrispolicylab.org/wp-content/uploads/2019/09/Facing-the-Future_Ruhrmann_CITRIS-Policy-Lab.pdf
Schneier, B.: We’re banning facial recognition. We’re Missing the Point. The New York Times (2020). https://www.nytimes.com/2020/01/20/opinion/facial-recognition-ban-privacy.html
Nakar, S., Greenbaum, D.: Now You See Me. Now You Still Do: Facial Recognition Technology and the Growing Lack of Privacy, 23 Boston U.Sci. & Tech. L. 88, 116 (2017)
Rassolov, I., Chubukova, S., Mikurova, I.: Biometry in the context of personal data and genetic information: legal issues. Lexrussica 1, 108–118 (2019). (in Russian)
Mamaev, V.: Biometrics: from premonition to materialization. Banking Rev. 3, 70–73 (2018). (in Russian)
Romashov, P.: On the issue of the right to privacy in the digital age. Perm Legal almanac. Ann. Sci. J. 1, 103–118 (2019). (in Russian)
Shavaleev, B.: Fulfillment of the administrative ban on visiting the venues of official sports competitions on the days of their holding. Administrative Law Process 7, 80–82 (2017). (in Russian)
Stepanov, A.: Implementation of systems of intelligent face recognition at the objects of the Ministry of Internal Affairs of Russia in the Omsk region. Prospects and challenges of implementation. Information technology, communications and information protection of the Ministry of Internal Affairs of Russia, no. 2, pp. 151–152 (2012). (in Russian)
The combined cases of the European Court S-203/15 and S-698/15, Tele2 Sverige AB v. The Swedish Postal and Telecommunications Agency and the Minister of the Interior v. Watson, Decree of December 21, 2016, paragraph 107; CCPR/ C/ ZAF/ CO/ 1, paragraphs 42 to 43; and CCPR/ C/ CMR/ CO/ 5, paragraphs 39–40
Information on the case No. 02a-0577/2019. Courts of general jurisdiction of the city of Moscow. The official portal (2019). https://www.mos-gorsud.ru/rs/savyolovskij/cases/docs/content/d2ef41f1-b8a7-44ea-b4e9-80db9c9e28df
Federal Law of July 27, 2006 No. 152-FZ On Personal Data. Meeting of the legislation of the Russian Federation, July 31, 2006, N 31 (1 part), Art. 3451
Romanovskaya, O., Romanovsky, G.: Digital technologies and deconcentration of state power. Constitutional Municipal Law 8, 36–40 (2019). (in Russian)
Universal Declaration of Human Rights (adopted by the UN General Assembly on 10.12.1948)
International Covenant on Civil and Political Rights (Adopted on December 16, 1966 by Resolution 2200 (XXI) at the 1496th plenary meeting of the UN General Assembly)
Convention for the Protection of Human Rights and Fundamental Freedoms (Concluded in Rome 04.11.1950)
Conger, K., Fausset, R., Kovaleski S.: San Francisco Bans Facial Recognition Technology. The New York Times (2019). https://www.nytimes.com/2019/05/14/us/facial-recognition-ban-san-francisco.html
Gurley, L.: 40 Major Music Festivals Have Pledged Not to Use Facial Recognition Technology. VICE (2019). https://www.vice.com/en_us/article/ywakpj/40-major-music-festivals-have-pledged-not-to-use-facial-recognition-technology
Khodakovsky, K.: Clearview AI application for face recognition is tried for an encroachment on freedom. 3DNews. https://3dnews.ru/1002294. (in Russian)
Antonova, N., Balkhaeva, S., Gaunova, J., et al.: The legal concept of robotization: a monograph. Moscow, Prospect (2019). (in Russian)
Face recognition now also serves for tracking people on a national basis. Security News (2019). http://www.secnews.ru/digest/24052.htm#axzz6Ca1psKI4. (in Russian)
Clearview AI. Official site. https://clearview.ai/
Declaration on the Freedom of Communication on the Internet adopted by the Committee of Ministers of the Council of Europe (Strasbourg, May 28, 2003)
Convention for the Protection of Individuals with regard to Automatic Processing of Personal Data (Concluded in Strasbourg on 01.28.1981) (together with the Amendments to the Convention for the Protection of Individuals with Automatic Processing of Personal Data (CETS No. 108) allowing the accession of European communities adopted by the Committee of Ministers in Strasbourg 06/15/1999)
Clarifications of the Federal Service for Supervision in the Sphere of Telecommunications, Information Technologies and Mass Communications dated August 30, 2013 “Clarifications on the issues of classifying photos, videos, fingerprints and other information as biometric personal data and the features of their processing”
Habr.com. Amazon Recognition Facial Recognition System Has Taken 28 US Congressmen for Criminals]. https://habr.com/ru/post/418509/ (2018). (in Russian)
Andreeva, O., Ivanov, V., Nesterov, A., Trubnikova, T.: Face recognition technologies in criminal proceedings: the problem of the grounds for the legal regulation of artificial intelligence. Bull. Tomsk State Univ. 449, 201–212 (2019). https://doi.org/10.17223/15617793/449/25(inRussian)
Antonova, N., et al.: The Legal Concept of Robotization: A Monograph. Prospect, Moscow (2019). (in Russian)
Haykin, S.: Neural Networks: A Comprehensive Foundation (2nd Edition). Prentice Hall (1998)
Vasilchuk, T.: Antisocial monitoring. Muscovites continue to be fined for bad selfies and trips to the hospital. New Newspaper (2020). https://novayagazeta.ru/articles/2020/05/31/85630-antisotsialnyy-monitoring. (in Russian)
Chesney, R., Citron, D.: Deepfakes and the new disinformation war: the coming age of post-truth geopolitics. Foreign Affairs 98, 147 (2019)
Bloomberg: How faking videos became easy and why that’s so scary (2018). https://fortune.com/2018/09/11/deep-fakes-obama-video/
Federal Law of March 18, 2019 No. 27-ФЗ “On Amending the Code of the Russian Federation on Administrative Offenses”. Meeting of the legislation of the Russian Federation, March 25, 2019, No. 12, Art. 1217
Amelin, R., Komkova, G., Kulikova, S.: Legal protection of personal image in digital relations: leading trends. In: Proceedings of the 6th International Conference on Social, Economic, and Academic Leadership (ICSEAL-6-2019). Advances in Social Science, Education and Humanities Research, vol. 441, pp. 382–390 (2020). https://doi.org/10.2991/assehr.k.200526.056
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Amelin, R., Channov, S. (2020). On the Legal Issues of Face Processing Technologies. In: Alexandrov, D.A., Boukhanovsky, A.V., Chugunov, A.V., Kabanov, Y., Koltsova, O., Musabirov, I. (eds) Digital Transformation and Global Society. DTGS 2020. Communications in Computer and Information Science, vol 1242. Springer, Cham. https://doi.org/10.1007/978-3-030-65218-0_17
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