Artificial intelligence governance in smart cities: A European regulatory perspective

Brian Fabregue
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Abstract

The integration of AI in our daily lives is rapidly increasing, offering numerous benefits to society. In a Smart City context, said integration is almost implicit: Smart Cities allow for a stream of data upon which AI is not only used but developed and trained. There are however concerns about the unpredictability and uncontrollability of AI, prompting calls for transparency and explainability of its underlying machine-learning algorithms. To ensure useful and understandable explanations of inherent biases, policymakers should focus on the concrete risks and biases of algorithms in relation to specific legal contexts. This article examines the legal implications of AI, including potential regulatory frameworks, the impact on privacy and intellectual property laws, and ethical issues. It also explores governance drivers and policy processes of AI regulation and governance in the European Union. Then, after focusing on the newest Artificial Intelligence Act—viewed both under a fundamental right and a smart city AI integration perspective, it is argued that a three principle-based approach to AI deployment in smart cities is needed to balance inefficiencies derived from the inherent complexity of AI, namely: fairness, privacy and transparency.
智慧城市中的人工智能治理:欧洲监管视角
人工智能正迅速融入我们的日常生活,为社会带来诸多益处。在智能城市中,这种融合几乎是隐性的:智能城市提供了大量数据流,人工智能不仅可以在这些数据流中使用,还可以在这些数据流中发展和训练。然而,人们对人工智能的不可预测性和不可控性表示担忧,这促使人们呼吁提高其基本机器学习算法的透明度和可解释性。为确保对固有偏见做出有用且可理解的解释,政策制定者应重点关注算法在特定法律背景下的具体风险和偏见。本文探讨了人工智能的法律影响,包括潜在的监管框架、对隐私和知识产权法的影响以及伦理问题。文章还探讨了欧盟人工智能监管和治理的治理驱动力和政策流程。然后,在重点讨论了最新的《人工智能法》--从基本权利和智慧城市人工智能整合的角度来看--之后,文章认为,在智慧城市中部署人工智能需要基于三项原则的方法,以平衡人工智能固有的复杂性所带来的低效率,即:公平、隐私和透明。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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