UPSI Digital Repository (UDRep)
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UPSI Digital Repository (UDRep)
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| Abstract : Universiti Pendidikan Sultan Idris |
| Artificial Intelligence (AI) is increasingly taking hold throughout worldwide businesses. Since 2017, anticipated AI usage in Malaysia has increased by 32 percent due to innovative city projects and public safety and intelligent transportation applications. However, such AI development is afflicted by privacy and data breaches as the existing data protection regulation safeguards against unlawful commercial use of personal data. Recent developments reflect the failure of present legal mechanisms to address such infringements and effective data management and protection deficiencies. This study examines the legal concerns of privacy and data protection and problems associated with the use of AI in Malaysia. This research adopts a methodology of doctrinal research, a systematic method of legal reasoning, including analyzing primary and secondary resources. The findings imply that AI evolves, magnifying the ability to use personal information that may affect privacy. Thus, infringement of privacy and use of personal data without legal oversight or effective governance could result in privacy deprivation and abuse of personal data that might be used to perpetrate crimes ? 2021 IEEE. |
| References |
(0000). Artificial Intelligence and Privacy-Datatilsynet, Retrieved from www.scopus.com (2021). Criminal and Civil Liability of Data Breaches Under the Malaysian Law-Azmi & Associates, Retrieved from www.scopus.com Agrawal, A., Gans, J., & Goldfarb, A. (2019). Finding needles in haystacks: Artificial intelligence and recombinant growth. The Economics of Artificial Intelligence: An Agenda, Retrieved from www.scopus.com Ahmad, N., & Chauhan, P. (2020). State of data privacy during COVID-19. Computer, 53(10), 119-122. doi:10.1109/MC.2020.3010549 Asaro, P. M. (2019). AI ethics in predictive policing: From models of threat to an ethics of care. IEEE Technology and Society Magazine, 38(2), 40-53. doi:10.1109/MTS.2019.2915154 Bhasin, M. L. (2008). Guarding privacy on the internet: Privacy policy, government regulations and technology solutions. International Journal of Internet Marketing and Advertising, 4(2-3), 213-240. doi:10.1504/IJIMA.2008.017023 Blasch, E., & Sung, J. (2021). Standards for the artificial intelligence community. Automatic Target Recognition XXXI, Retrieved from www.scopus.com Bloustein, E. (1978). Group privacy: The right to huddle. Individual and Group Privacy, , 123-186. Retrieved from www.scopus.com Buttarelli, G. (2016). Privacy in an Age of Hyperconnectivity Keynote Speech to., Retrieved from www.scopus.com Chassang, G., Thomsen, M., Rumeau, P., Sèdes, F., & Delfin, A. (2021). An interdisciplinary conceptual study of artificial intelligence (AI) for helping benefit-risk assessment practices. AI Communications, 34(2), 121-146. doi:10.3233/AIC-201523 Cieh, E. L. Y. (2013). Personal data protection and privacy law in malaysia. Beyond Data Protection, , 5-29. Retrieved from www.scopus.com Davenport, T. H. (2018). The AI advantage: How to put the artificial intelligence revolution to work. The AI Advantage: How to Put the Artificial Intelligence Revolution to Work, Retrieved from www.scopus.com Felten, E., Raj, M., & Seamans, R. (2021). Occupational, industry, and geographic exposure to artificial intelligence: A novel dataset and its potential uses. Strategic Management Journal, 42(12), 2195-2217. doi:10.1002/smj.3286 Garcia, D. (2017). Preparing for artificial intelligence in the legal profession. Lexis Prac.Advisor J., Retrieved from www.scopus.com Ismail, N. (2012). Selected issues regarding the malaysian personal data protection act (PDPA) 2010. International Data Privacy Law, 2(2), 105-112. doi:10.1093/idpl/ips005 Ismail, N. (2012). Selected issues regarding the malaysian personal data protection act (PDPA) 2010. International Data Privacy Law, 2(2), 105-112. doi:10.1093/idpl/ips005 Kandiah, S. (2021). The privacy, data protection and cybersecurity law review: Malaysia. The Law Reviews-the Privacy, Data Protection and Cybersecurity Law Review, Retrieved from www.scopus.com Kesa, A., & Kerikmäe, T. (2020). Artificial intelligence and the GDPR: Inevitable nemeses. TalTech Journal of European Studies, 10(3), 68-90. doi:10.1515/bjes-2020-0022 Koos, S. (2018). Artificial intelligence-science fiction and legal reality. Malaysian Journal of Syariah and Law, 6(3), 23-29. Retrieved from www.scopus.com Kuo, R. J., Chen, C. H., & Hwang, Y. C. (2001). An intelligent stock trading decision support system through integration of genetic algorithm based fuzzy neural network and artificial neural network. Fuzzy Sets and Systems, 118(1), 21-45. doi:10.1016/S0165-0114(98)00399-6 Laneret, N. (2018). CIPL AI first report-artificial intelligence and data protection in tension. FUTURIUM-European Commission, Retrieved from www.scopus.com Lauterbach, A. (2019). Artificial intelligence and policy: Quo vadis? Digital Policy, Regulation and Governance, 21(3), 238-263. doi:10.1108/DPRG-09-2018-0054 Lee, Z. Y., Karim, M. E., & Ngui, K. (2021). Deep learning artificial intelligence and the law of causation: Application, challenges and solutions. Information and Communications Technology Law, 30(3), 255-282. doi:10.1080/13600834.2021.1890678 Leenen, L., & Meyer, T. (2021). Artificial intelligence and big data analytics in support of cyber defense. Research Anthology on Artificial Intel-Ligence Applications in Security, , 1738-1753. Retrieved from www.scopus.com Leong, F. C. (1970). Malaysia personal data. Foong Cheng Leong, Retrieved from www.scopus.com Lim, H. W., Hau, Y. W., Lim, C. W., & Othman, M. A. (2016). Artificial intelligence classification methods of atrial fibrillation with implementation technology. Computer Assisted Surgery, 21, 155-162. doi:10.1080/24699322.2016.1240303 Luckow, A. (2018). Artificial intelligence and deep learning applications for automotive manufacturing. 2018 IEEE International Conference on Big Data (Big Data), Retrieved from www.scopus.com Luger, G. F., & Stubblefield, W. A. (1998). Artificial Intelligence: Structures and Strategies for Complex Problem Solving, Retrieved from www.scopus.com Magrani, E. (2019). New perspectives on ethics and the laws of artificial intelligence. Internet Policy Review, 8(3), 1-19. doi:10.14763/2019.3.1420 Manap, N. A., & Abdullah, A. (2020). REGULATING ARTIFICIAL INTELLIGENCE IN MALAYSIA: THE TWO-TIER APPROACH. UUM Journal of Legal Studies, 11(2), 183-201. Retrieved from www.scopus.com Manheim, K., & Kaplan, L. (2019). Artificial intelligence: Risks to privacy and democracy. Yale Journal of Law & Technology, 21(1) Retrieved from www.scopus.com Mohamad, A. M., Hamin, Z., & Othman, M. (2017). Balancing open justice and privacy rights in adopting ICT in the malaysian courts. Advanced Science Letters, 23(8), 7996-8000. doi:10.1166/asl.2017.9629 Moonesar, I. A., & Dass, R. (2021). Arti-cial intelligence in health policy-A global perspective. Global J.Comput.Sci.Technol, 1, 1-7. Retrieved from www.scopus.com Natale, S., & Balbi, G. (2014). Media and the imaginary in history: The role of the fantastic in different stages of media change. Media History, 20(2), 203-218. doi:10.1080/13688804.2014.898904 Negnevitsky, M. (2002). Artificial Intelligence: A Guide to Intelligent Systems, Retrieved from www.scopus.com Ng, S. I., Ho, J. A., Lim, X. J., Chong, K. L., & Latiff, K. (2019). Mirror, mirror on the wall, are we ready for gen-Z in marketplace? A study of smart retailing technology in malaysia. Young Consumers, 22(1), 68-89. doi:10.1108/YC-06-2019-1006 Puaschunder, J. M. (2019). The legal and international situation of AI, robotics and big data with attention to healthcare. SSRN Electronic Journal, Retrieved from www.scopus.com Rajaretnam, T., & Young, A. (2019). Data privacy in malaysia with the emergence of big data and artificial intelligence. Computer and Telecommunications Law Review, 25(7), 181-186. Retrieved from www.scopus.com Rascão, J. P. (2020). Freedom of expression, privacy, and ethical and social responsibility in democracy in the digital age. International Journal of Business Strategy and Automation, 1(3), 1-23. Retrieved from www.scopus.com Rosli, W. R. (2018). The Scent of A Woman: Governing the Gendered Crime of Cyber Stalking, Retrieved from www.scopus.com Schwab, D., Goulian, J., & Tchechmedjiev, A. (2013). Worst-case complexity and empirical evaluation of artificial intelligence methods for unsupervised word sense disambiguation. International Journal of Web Engineering and Technology, 8(2), 124-153. doi:10.1504/IJWET.2013.055713 Smith, G. (2019). Artificial intelligence and the privacy paradox of opportunity, big data and the digital universe. Paper presented at the Proceedings of 2019 International Conference on Computational Intelligence and Knowledge Economy, ICCIKE 2019, 150-153. doi:10.1109/ICCIKE47802.2019.9004264 Retrieved from www.scopus.com Stahl, B. C., Andreou, A., Brey, P., Hatzakis, T., Kirichenko, A., Macnish, K., . . . Wright, D. (2021). Artificial intelligence for human flourishing – beyond principles for machine learning. Journal of Business Research, 124, 374-388. doi:10.1016/j.jbusres.2020.11.030 Stilgoe, J. (2017). Machine learning, social learning and the governance of self-driving cars. SSRN Electron.J., Retrieved from www.scopus.com Tang, A. (2019). Study: Malaysia the fifth-worst country for personal data protection. The Star, Retrieved from www.scopus.com Tee, K. L. (2002). Towards a personal data protection regime in malaysia. J.Malay.Compara.Law, 29, 255-282. Retrieved from www.scopus.com Tegmark, M. (2021). Benefits & risks of artificial intelligence-future of life institute. Future of Life Institute, Retrieved from www.scopus.com Truby, J. (2020). Governing artificial intelligence to benefit the UN sustainable development goals. Sustainable Development, 28(4), 946-959. doi:10.1002/sd.2048 Tygar, J. D. (2011). Adversarial machine learning. IEEE Internet Computing, 15(5), 4-6. doi:10.1109/MIC.2011.112 Ventrella, E. (2020). Privacy in emergency circumstances: Data protection and the COVID-19 pandemic. ERA Forum, 21(3), 379-393. doi:10.1007/s12027-020-00629-3 Vöneky, S. (2021). How should we regulate AI? current rules and principles as basis for 'responsible artificial intelligence. Legal Theory and Interpretation in a Dynamic Society, , 279-310. Retrieved from www.scopus.com Wang, W., & Siau, K. (2019). Artificial intelligence, machine learning, automation, robotics, future of work and future of humanity: A review and research agenda. Journal of Database Management, 30(1), 61-79. doi:10.4018/JDM.2019010104 Wu, F., Lu, C., Zhu, M., Chen, H., Zhu, J., Yu, K., . . . Pan, Y. (2020). Towards a new generation of artificial intelligence in china. Nature Machine Intelligence, 2(6), 312-316. doi:10.1038/s42256-020-0183-4 Yong, N. H. (2018). GDPR-are you ready for it?: Skrine-advocates & solicitors. Skrine, Retrieved from www.scopus.com Zhang, R., Yang, K., Alomainy, A., Abbasi, Q. H., Qaraqe, K., & Shubair, R. M. (2016). Discussing incomplete 2-tuple fuzzy linguistic preference relations in multi-granular linguistic MCGDM with unknown weight information. Soft Comput, (3), 1-13. Retrieved from www.scopus.com |
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