Advances in the Standards & Applied Sciences

Advances in the Standards & Applied Sciences

Standardization of Emerging Technologies based on Artificial Intelligence

Document Type : Case Report

Author
Kharazmi university
Abstract
Artificial intelligence (AI) has become a transformative force in modern technology and industry, raising critical ethical, regulatory, and societal challenges. While AI excels in decision-making, it lacks inherent moral reasoning, relying instead on predefined rules. This limitation necessitates embedding ethical principles—such as fairness, justice, and integrity—into AI systems through rigorous oversight and standardization. AI's extensive influence across sectors has also exposed significant vulnerabilities, including the perpetuation of human biases, privacy violations, and a lack of accountability. Discriminatory tendencies in key areas like employment and education demand robust interventions, while privacy concerns highlight the importance of stringent data protection measures. Similarly, questions regarding liability for AI-driven actions underline the need for clear accountability frameworks. As AI continues to evolve, concerns about its potential to exceed human control have gained prominence. Addressing these risks requires strong ethical guidelines, regulatory measures, and comprehensive standards. In this paper, we aim to explore several ethical risks posed by AI and examine key areas requiring standardization in its development and application
Keywords
Subjects

[1] J. Mason, B. E. Peoples and J. Lee, "Questioning the Scope of AI Standardization in Learning, Education, and Training," in Journal of ICT Standardization, vol. 8, no. 2, pp. 107-122, 2020, doi: 10.13052/jicts2245-800X.822.
 [2] Henrique Sousa Antunes, Pedro Miguel Freitas, Arlindo L. Oliveira, Clara Martins Pereira, Elsa Vaz de Sequeira, Luís Barreto Xavier (Editors), Multidisciplinary Perspectives on Artificial Intelligence and the Law, Springer Cham, Dec. 2023, Cham, Switzerland.
[3] ISO/DPAS 8800: Road vehicles — Safety and artificial intelligence, ISO, 2024.
[4] Share Pasand, M. M. (2023). Standardization challenges in the IOT and AI era, Advances in the Standards & Applied Sciences, 1(2), pp. 1-2.
[5] Charter, R., 2022. Ethical and trustworthy Artificial Intelligence.
[6] Chapman & Hall/CRC Artificial Intelligence and Robotics Series , Artificial Intelligence safety and security
[7] Standards for AI Governance: International Standards to Enable Global Coordination in AI Research & Development
[8] Share Pasand, M. M., Tavakoli Golpaygani, S and Azadi Parand, F (2024). Book review: Multidisciplinary Perspectives on Artificial Intelligence and the Law, Advances in the Standards & Applied Sciences, 2(4), pp. 50-55.
[9] Hagendorff, T. The Ethics of AI Ethics: An Evaluation of Guidelines. Minds & Machines 30, 99–120 (2020)
[10] Borenstein, J., Mahajan, H.P., Wagner, A.R., Howard, A.: Trust and pediatric exoskeletons: a comparative study of clinician and parental perspectives. IEEE Trans. Technol. Soc. 1(2), 83–88 (2020). https://doi.org/10.1109/TTS.2020.2974990
[11]D. Pedreshi, S. Ruggieri and F. Turini, "Discrimination-aware data mining", Proc. Proc. 14th ACM SIGKDD Int. Conf. Knowl. Discovery Data Mining (KDD), pp. 560-568.
[12] Elliott, David, and Eldon Soifer. "AI technologies, privacy, and security." Frontiers in Artificial Intelligence 5 (2022): 826737.
[13] Zech, H. Liability for AI: public policy considerations. ERA Forum 22, 147–158 (2021). https://doi.org/10.1007/s12027-020-00648-0
[14] THE DANGERS OF ARTIFICIAL INTELLIGENCE Preprint · May 2023 DOI: 10.13140/RG.2.2.22058.80326
[15] D. Lewis, L. Hogan, D. Filip and P. J. Wall, "Global Challenges in the Standardization of Ethics for Trustworthy AI," in Journal of ICT Standardization, vol. 8, no. 2, pp. 123-150, 2020, doi: 10.13052/jicts2245-800X.823.