Los derechos humanos durante la introducción masiva de la inteligencia artificial y los sistemas robóticos en la vida pública

DOI: https://doi.org/10.46398/cuestpol.3971.36
Keywords: human rights, robotics, social rating, state, civil society

Abstract

Purpose: This article considers legal approaches to implementing human rights during the mass exploitation of artificial intelligence and robotic systems in public life. Methods: Within the framework of this study, an emphasis is placed on the legal regulation of artificial intelligence systems and robotics used for remote biometric identification of a person and the creation of social credit systems. This study analyzes different models of legal regulation that are typical of certain countries and regions, including the UK, USA, China, and the EU. Results: In the UK, it is allowed to use real-time face recognition systems in public spaces but the set of scenarios and situations for their use is significantly limited by legislation and law enforcement. The legal regulation of these systems in each state is based on a constant dialogue between state and civil society. The use of artificial intelligence and robotic systems to create social credit systems is tested in some countries. Modern states have formed several approaches to the creation of such systems: some of them completely prohibit these systems, while others develop a technological and regulatory framework for the creation of national systems.

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Author Biographies

Dmitry Kuteynikov, Kutafin Moscow State Law University

Kutafin Moscow State Law University, Moscow, Russia.

Osman Izhaev, Kutafin Moscow State Law University

Kutafin Moscow State Law University, Moscow, Russia.

Valerian Lebedev, Kutafin Moscow State Law University

Kutafin Moscow State Law University, Moscow, Russia.

Sergey Zenin, Tyumen State University

Tyumen State University, Tyumen, Russia; Kutafin Moscow State Law University, Moscow, Russia.

References

BIOMETRICS AND FORENSICS ETHICS GROUP. 2021. Briefing note on the ethical issues arising from public–private collaboration in the use of live facial recognition technology (accessible). GOV.UK. Available online. In: https://www.gov.uk/government/publications/public-private-use- of-live-facial-recognition-technology-ethical-issues/briefing-note-on- the-ethical-issues-arising-from-public-private-collaboration-in-the- use-of-live-facial-recognition-technology-accessible. Consultation date: 05/05/2021.

CENTRE FOR DATA ETHICS AND INNOVATION. 2020. Independent report Snapshot Paper – Facial Recognition Technology. GOV.UK. Available online. In: https://www.gov.uk/government/publications/cdei- publishes-briefing-paper-on-facial-recognition-technology/snapshot- paper-facial-recognition-technology. Consultation date: 05/05/2021.

EUROPEAN DATA PROTECTION BOARD. 2021. EDPB & EDPS call for ban on use of AI for automated recognition of human features in publicly accessible spaces, and some other uses of AI that can lead to unfair discrimination. edpb.europa.eu. Available online. In: https://edpb. europa.eu/news/news/2021/edpb-edps-call-ban-use-ai-automated- recognition-human-features-publicly-accessible_en. Consultation date: 28/08/2021.

FEINER, Lauren; PALMER, Annie. 2021. Rules around facial recognition and policing remain blurry. CNBC. Available online. In: https://www. cnbc.com/2021/06/12/a-year-later-tech-companies-calls-to-regulate- facial-recognition-met-with-little-progress.html. Consultation date: 28/08/2021.

GORDON, Barrie. 2021. “Automated facial recognition in law enforcement: the Queen (on application of Edward Bridges) v the chief constable of South 619

Wales Police” In: Potchefstroom Electronic Law Journal. Vol. 24, pp. 1-29.

GURINOVICH, Aleksander; LAPINA, M.A; IVANOV, A.E. 2020. “Ways of restricting the rights of taxpayers under agreements for the avoidance of double taxation in national legislation” In: SAGE Open. Vol. 10, No. 4, pp. 1-8.

GURINOVICH, Aleksander; SMIRNIKOVA, J.L. 2021. “Debt policy of the Russian regions: economic and legal research” In: Indian Journal of Finance. Vol. 15, No. 1, pp. 23-35.

HACIYAKUPOGLU, Gulizar. 2021. China’s social credit system: questions on the current status, role of data and surveillance, and influence outside of China. NATO Strategic Communications Centre of Excellence. Riga, Latvia. Available online. In: https://stratcomcoe.org/publications/ chinas-social-credit-system-current-status-role-of-data-and- surveillance-and-influence-outside-of-china/209. Consultation date: 28/08/2021.

KOSTKA, Genia; STEINACKER, Lea; MECKEL, Miriam. 2021. “Between security and convenience: facial recognition technology in the eyes of citizens in China, Germany, the United Kingdom, and the United States” In: Public Understanding of Science. Vol. 30, No. 6, pp. 671-690.

LIVINGSTON, Steven; RISSE, Mathias. 2019. “The future impact of artificial intelligence on humans and human rights” In: Ethics & International Affairs. Vol. 2, pp. 141-158.

PROPOSAL FOR A REGULATION OF THE EUROPEAN PARLIAMENT AND OF THE COUNCIL LAYING DOWN HARMONISED RULES ON ARTIFICIAL INTELLIGENCE (ARTIFICIAL INTELLIGENCE ACT) AND AMENDING CERTAIN UNION LEGISLATIVE ACTS. 2016. EUR-Lex. Available online. In: https://eur-lex.europa.eu/legal-content/EN/ ALL/?uri=CELEX:52021PC0206. Consultation date: 05/05/2021.

ROBERTS, Huw; COWLS, Josh; MORLEY, Jessica; TADDEO, Mariarosaria; WANG, Vincent; FLORIDI, Luciano 2021. “The Chinese approach to artificial intelligence: an analysis of policy, ethics, and regulation” In: AI & Society. Vol. 36, pp. 59-77.

SAKIN, Nicole. 2021. Will there be federal facial recognition regulation in the US? iapp.org. Available online. In: https://iapp.org/news/a/u-s-facial- recognition-roundup/. Consultation date: 05/05/2021.

SURVEILLANCE CAMERA CODE OF PRACTICE. 2013. GOV.UK. Available online. In: https://assets.publishing.service.gov.uk/government/uploads/system/uploads/attachment_data/file/1010815/Surveillance_ Camera_Code_of_Practice update_.pdf. Consultation date: 05/05/2021.

THE COURT OF APPEAL OF ENGLAND AND WALES. 2020. The Queen (on the application of Edward Bridges) (Appellant) v The Chief Constable of South Wales Police (Respondent) & others [2020] EWCA Civ 1058. Available online. In: https://www.judiciary.uk/wp-content/ uploads/2020/08/R-Bridges-v-CC-South-Wales-ors-Judgment.pdf. Consultation date: 05/05/2021.

WOOLLACOTT, Emma. 2021. UK Government accused of sneaking through new live facial recognition rules. Forbes.com. Available online. In: https://www.forbes.com/sites/emmawoollacott/2021/08/23/uk- government-accused-of-sneaking-through-new-live-facial-recognition- rules/?sh=e47cf88706f3. Consultation date: 28/08/2021.

ZIYAN, Chen; SHIGUO, Liu. 2021. “China’s self-driving car legislation study” In: Computer Law and Security Review. Vol. 41, Article 105555.
Published
2021-12-18
How to Cite
Kuteynikov, D., Izhaev, O., Lebedev, V., & Zenin, S. (2021). Los derechos humanos durante la introducción masiva de la inteligencia artificial y los sistemas robóticos en la vida pública. Political Questions, 39(71), 609-620. https://doi.org/10.46398/cuestpol.3971.36
Issue
Vol. 39 No. 71 (2021): Cuestiones Políticas
Section
Derecho Público

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