Law and Ethics in the Development of Artificial Intelligence Technology
Keywords:
Artificial Intelligence, Law, Ethics, Data Protection, Legal ResponsibilityAbstract
The development of artificial intelligence (AI) technology offers significant potential for progress in various sectors, including the economy, health, and security. However, the development of AI also raises complex legal and ethical challenges, such as issues of personal data protection, legal liability, algorithmic discrimination, and its impact on employment. This study aims to examine these challenges in the Indonesian context, focusing on the analysis of existing regulations and ethical issues arising from the application of AI. The normative legal research method is used to evaluate the conformity of AI regulations in Indonesia with international standards and identify existing legal gaps. In addition, an ethical approach is applied to analyze the social and moral impacts of the use of AI. The results of this study indicate that Indonesia needs to develop a more comprehensive and adaptive regulatory and ethical framework to address the challenges posed by AI technology, including personal data protection, legal liability, and mitigating its social impacts. Policy recommendations resulting from this study are expected to support the development of responsible and sustainable AI in Indonesia.
References
Asaro, P. (2008). "How Just Could a Robot War Be?" In P. Lin, K. Abney, & G. A. Bekey (Eds.), Robot Ethics: The Ethical and Social Implications of Robotics (pp. 50-70). Cambridge: MIT Press.
Autor, D.H. (2015). "Why Are There Still So Many Jobs? The History and Future of Workplace Automation." Journal of Economic Perspectives, 29(3), 3-30.
Bostrom, N. (2014). Superintelligence: Paths, Dangers, Strategies. Oxford: Oxford University Press.
Brynjolfsson, E., & McAfee, A. (2014). The Second Machine Age: Work, Progress, and Prosperity in a Time of Brilliant Technologies. New York: W. W. Norton & Company.
Feldstein, S. (2019). The Road to Digital Unfreedom: How Artificial Intelligence is Reshaping Repression. Washington, DC: Brookings Institution Press.
Floridi, L., & Taddeo, M. (2016). "What Is Data Ethics?" Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 374(2083), 20160360.
Floridi, L., Cowls, J., Beltrametti, M., Chatila, R., Chazerand, P., Dignum, V., & Schafer, B. (2018). "AI4People—An Ethical Framework for a Good AI Society: Opportunities, Risks, Principles, and Recommendations." Minds and Machines, 28, 689–707.
Friedman, B., & Nissenbaum, H. (1996). "Bias in Computer Systems." ACM Transactions on Information Systems, 14(3), 330-347.
Goodman, B. (2016). "A Step Towards Accountable Algorithms?" AI & Society, 31(1), 89-95.
Ministry of Communication and Information. (2021). Guidelines for Personal Data Protection in Indonesia. Jakarta: Ministry of Communication and Information of the Republic of Indonesia.
O’Neil, C. (2016). Weapons of Mathematics Destruction: How Big Data Increases Inequality and Threatens Democracy. New York: Crown.
Raji, I.D., Bender, E.M., Scheuerman, M.K., & Hanna, A. (2020). “AI and the Everything in the Whole Wide World Benchmark.” Proceedings of the 2020 Conference on Fairness, Accountability, and Transparency.
Susskind, R., & Susskind, D. (2015). The Future of the Professions: How Technology Will Transform the Work of Human Experts. Oxford: Oxford University Press.
UNIDIR. (2020). The Weaponization of Increasingly Autonomous Technologies: Artificial Intelligence in Weapons Systems. Geneva: United Nations Institute for Disarmament Research.
Zuboff, S. (2019). The Age of Surveillance Capitalism: The Fight for a Human Future at the New Frontier of Power. New York: PublicAffairs.
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