RIGHTS AND OBLIGATIONS OF ARTIFICIAL INTELLIGENCE IN THE FIELD OF BIG DATA: PROBLEMS AND SOLUTIONS

Authors

Keywords:

artificial intelligence, big data, legal regulation, ethics, responsibility, transparency, non-discrimination, personal data

Abstract

This article is devoted to analyzing problems and potential solutions in the regulation of the rights and responsibilities of artificial intelligence (AI) in the context of the processing and analysis of Big Data. We explore the legal and ethical aspects of accountability, transparency, non-discrimination, and protection of personal data in the use of AI. The research examines existing legal frameworks, and we propose measures that have the potential to improve them significantly, including the development of specific legislation, the establishment of independent audit mechanisms, the establishment of transparency and accountability requirements, and the promotion of international cooperation. Particular attention is paid to the role of transparency and accountability principles in AI regulation. The features of regulation of AI and Big Data in Uzbekistan are analyzed. It is concluded that with these promising measures, it is necessary to create an effective and balanced regulatory system that ensures the development of innovative technologies and the protection of human rights in the digital age.

References

1. Barfield W., Pagallo U. Research Handbook on the Law of Artificial Intelligence. Edward Elgar Publ., 2018, 640 p.

2. Coeckelbergh M. AI Ethics. MIT Press Publ., 2020, 256 p.

3. Ethically Aligned Design: A Vision for Prioritizing Human Well-being with Autonomous and Intelligent Systems. V. 2. IEEE Global Initiative on Ethics of Autonomous and Intelligent Systems, 2017, 138 p.

4. Floridi L. The Fourth Revolution: How the Infosphere is Reshaping Human Reality. Oxford University Press Publ., 2014, 272 p.

5. Comparative Analysis of National Strategies for Artificial Intelligence. Future of Life Institute Publ., 2020, 97 p.

6. Taeihagh A. Governance of artificial intelligence. Policy and Society, 2021, vol. 40 (2), pp. 137–157.

7. Dignum V. Responsible Artificial Intelligence: How to Develop and Use AI in a Responsible Way. Springer Publ., 2019, 127 p.

8. Doshi-Velez F., Kim B. Towards A Rigorous Science of Interpretable Machine Learning. arXiv:1702.08608, 2017, 13 p.

9. Selbst A.D., Powles J. Meaningful information and the right to explanation. International Data Privacy Law, 2017, vol. 7 (4), pp. 233–242.

10. Tene O., Polonetsky J. Big Data for All: Privacy and User Control in the Age of Analytics. Northwestern Journal of Technology and Intellectual Property, 2013, vol. 11 (5), pp. 239–273.

11. Barocas S., Selbst A.D. Big Dataʼs Disparate Impact. California Law Review, 2016, vol. 104,

pp. 671–732.

12. Goodman B., Flaxman S. European Union Regulations on Algorithmic Decision-Making and

a “Right to Explanation”. AI Magazine, 2017, vol. 38 (3), pp. 50–57.

13. Floridi L., Cowls J. A Unified Framework of Five Principles for AI in Society. Harvard Data Science Review, 2019, vol. 1, no 1, pp. 1–13.

14. Regulation (EU) 2016/679 of the European Parliament and of the Council of 27 April 2016 on the protection of natural persons with regard to the processing of personal data and on the free movement of such data, and repealing Directive 95/46/EC (General Data Protection Regulation). Official Journal of the European Union, 2016, L. 119, pp. 1–88.

15. Algorithmic Accountability Act of 2019, H.R. 2231, 116th Cong. 2019.

16. Civil Rights Act of 1964, Pub. L. 88-352, 78 Stat. 241. 1964.

17. Angwin J., Tobin A., Varner M. Facebook (Still) Letting Housing Advertisers Exclude Users by Race. ProPublica, 2017, November 21.

18. Facebookʼs Ad Discrimination Problem, Statement of ACLU Washington Legislative Office. American Civil Liberties Union, 2018, September 18.

19. Schellekens M. Self-driving cars and the chilling effect of liability law. Computer Law & Security Review, 2015, vol. 31 (4), pp. 506–517.

20. Kaminski M.E. The Right to Explanation, Explained. Berkeley Technology Law Journal, 2019,

vol. 34, no 1, pp. 189–218.

21. Price W.N. Artificial Intelligence in Health Care: Applications and Legal Issues. The SciTech Lawyer, 2017, vol. 14 (1), pp. 10–13.

22. Mittelstadt B., Allo P., Taddeo M., Wachter S., Floridi L. The ethics of algorithms: Mapping the debate. Big Data & Society, 2016, vol. 3 (2), pp. 1–21.

23. Bryson J., Winfield A. Standardizing Ethical Design for Artificial Intelligence and Autonomous Systems. Computer, 2017, vol. 50 (5), pp. 116–119.

24. Tutt A. An FDA for Algorithms. Administrative Law Review, 2017, vol. 69, pp. 83–123.

25. Hagendorff T. The Ethics of AI Ethics: An Evaluation of Guidelines. Minds and Machines, 2020, vol. 30, pp. 99–120.

26. Ebers M. Regulating AI and Robotics: Ethical and Legal Challenges. Regulating Artificial Intelligence. Eds. T.E. Synodinou, P. Jougleux, C. Markou, T. Prastitou. Springer Publ., 2020, pp. 37–98.

27. Castelluccia C., Le Métayer D. Understanding algorithmic decision-making: Opportunities and challenges. Panel for the Future of Science and Technology, European Parliamentary Research Service, 2019, 94 p.

Downloads

Published

2024-05-17

How to Cite

RIGHTS AND OBLIGATIONS OF ARTIFICIAL INTELLIGENCE IN THE FIELD OF BIG DATA: PROBLEMS AND SOLUTIONS. (2024). JURISPRUDENCE, 4(2), 56-66. https://yurisprudensiya.tsul.uz/index.php/yurisprudensiya/article/view/614