AI Regulation: Striking the Right Balance Between Innovation and Accountability
- DOI
- 10.2991/978-2-38476-515-7_6How to use a DOI?
- Keywords
- Artificial Intelligence; AI Tools; Algorithm; Data Protection; Data Privacy
- Abstract
This research primarily proposes key components for the Computers, Ethics, Law, and Public Policy curriculum, tailored for professionals in AI, emerging technologies, computer science, information science, and engineering. “It advocates for immersive teaching strategies, emphasizing the integration of ethics and law through real-world scenarios and case studies that highlight moral and legal reasoning. In the modern era, education should transcend mere knowledge acquisition, fostering critical thinking and refined decision-making abilities to navigate complex technological landscapes.” Technology Ethics A few years ago, education was uncommon, but recently, as a result of AI developments, ethics became more widely accepted. In order to reflect the developments in the computing industry since 1992, the ACM amended its Code of Ethics and Professional Conduct in 2018. The code concentrated on professionalism and excellence in the 1990s. The public good is a key consideration in the new code, which covers AI and specifies that “Extraordinary care should be taken to detect and mitigate potential dangers in machine learning systems.” Everyone should be concerned about the ethical challenges raised by new technology, such as the unemployment brought on by self-driving cars, rather than simply computer specialists.
- Copyright
- © 2025 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Sudhanshu Chandra AU - Himanshu AU - Parth Sharma PY - 2025 DA - 2025/12/26 TI - AI Regulation: Striking the Right Balance Between Innovation and Accountability BT - Proceedings of the International Conference on Law and Technology (ICLT 2025) PB - Atlantis Press SP - 58 EP - 70 SN - 2352-5398 UR - https://doi.org/10.2991/978-2-38476-515-7_6 DO - 10.2991/978-2-38476-515-7_6 ID - Chandra2025 ER -