The Regulation of AI: Striking the Balance Between Innovation and Fairness
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In this paper, we propose a balanced approach to AI regulation, focused on harnessing the potential benefits of artificial intelligence while upholding fairness and ethical responsibility. With the increasing integration of AI systems into daily life, it is essential to develop regulations that prevent harmful biases and the unfair disadvantage of certain demographics. Our approach involves analyzing regulatory frameworks and case studies in AI applications to ensure responsible development and application. We aim to contribute to ongoing discussions around AI regulation, helping to establish policies that balance innovation with fairness, thereby driving economic progress and societal advancement in the age of artificial intelligence.
Abstract
In this paper, we propose a balanced approach to AI regulation, focused on harnessing the potential benefits of artificial intelligence while upholding fairness and ethical responsibility. With the increasing integration of AI systems into daily life, it is essential to develop regulations that prevent harmful biases and the unfair disadvantage of certain demographics. Our approach involves analyzing regulatory frameworks and case studies in AI applications to ensure responsible development and application. We aim to contribute to ongoing discussions around AI regulation, helping to establish policies that balance innovation with fairness, thereby driving economic progress and societal advancement in the age of artificial intelligence.
참고문헌 (11)
- Bostrom, N., "Super intelligence: Paths, Dangers, Strategies" (2016), Oxford University Press
- Buolamwini, J, "Gender Shades: Intersectional Accuracy Disparities in Commercial Gender Classification", Proceedings of the 1st Conference on Fairness, Accountability and Transparency, Proceedings of Machine Learning Research, 81, pp.77~91 (2023)
- Kate Crawford, "There is a blind spot in AI research", Nature, 538(7625), pp.311~313 (2016), Springer Science and Business Media LLC[DOI]
- Nikolinakos, N.T., "EU Policy and Legal Framework for Artificial Intelligence, Robotics and Related Technologies - The AI Act. Law, Governance and Technology Series" (2023), Springer, Cham
- Morandín-Ahuerma, F, "Twenty-three Asilomar principles for Artificial Intelligence and the Future of Life", September, ~ (2023)
- Jobin, A., "The global landscape of AI ethics guidelines", Nat Mach Intell, 1, pp.389~399 (2019)[DOI]
- "Biased Algorithms Are Everywhere, and No One Seems to Care" (2017)[URL]
- SCHARRE, Paul., "Army of none: Autonomous weapons and the future of war" (2018), WW Norton & Company
- Selbst, Andrew D., "he Intuitive Appeal of Explainable Machines", Fordham Law Review, 87(3), pp.1085~1140 (2018)[DOI]
- "Ensuring american leadership in automated vehicle technologies:Automated vehicles 4.0", NSTC, USDOT, ~ (2020)
- Sandra Wachter, "Why fairness cannot be automated: Bridging the gap between EU non-discrimination law and AI", Computer Law & Security Review, 41, pp.105567~ (2020), Elsevier BV[DOI]