立法行业在应对人工智能犯罪方面面临的挑战

Mayada Moustafa El-Mahrouki
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摘要

目的:本科学论文旨在阐明立法行业在人工智能(AI)技术领域所面临的挑战。具体而言,本文旨在预测和预估与为人工智能工具创建独立法人资格相关的困难,使其能够承担权利和义务,以及在人工智能技术实施应受法律惩罚的犯罪时确定刑事责任和处罚。 研究方法为实现既定目标,本文采用了理论和分析方法。本文全面回顾和分析了与人工智能技术的法律影响相关的现有文献、法律框架和案例研究。此外,本文还讨论了假设情景和潜在挑战,以说明在创建法律框架以应对人工智能工具的独特性质及其对社会的影响时所涉及的复杂性。 结果:分析揭示了立法行业在人工智能技术领域面临的几个关键挑战。这些挑战包括人工智能工具独立法律人格的概念化、确定与这种人格相关的权利和义务,以及建立人工智能技术对其行为负责的机制。此外,本文还探讨了在人工智能技术犯罪的情况下对其施加刑事责任和惩罚的困难。 结论:总之,本科学论文强调了与创建人工智能技术法律框架相关的复杂性和挑战。通过预见和预测这些挑战,它为立法者、政策制定者和参与塑造人工智能监管格局的法律专业人士提供了宝贵的见解。展望未来,必须积极应对这些挑战,并制定法律框架,在人工智能时代促进创新和维护社会利益之间取得平衡。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
LEGISLATIVE INDUSTRY CHALLENGES IN CONFRONTING ARTIFICIAL INTELLIGENCE CRIMES
Objectives: The objective of this scientific paper is to shed light on the challenges facing the legislative industry in the field of artificial intelligence (AI) technologies. Specifically, it aims to anticipate and predict the difficulties related to creating an independent legal personality for AI tools, enabling them to assume rights and obligations, as well as establishing criminal responsibility and punishment in cases where AI technologies commit crimes punishable by law.   Methods: To achieve the stated objectives, this paper employs a theoretical and analytical approach. It involves a comprehensive review and analysis of existing literature, legal frameworks, and case studies related to the legal implications of AI technologies. Additionally, hypothetical scenarios and potential challenges are discussed to illustrate the complexities involved in creating legal frameworks that address the unique nature of AI tools and their impact on society.   Results: The analysis reveals several key challenges facing the legislative industry in the field of AI technologies. These challenges include the conceptualization of an independent legal personality for AI tools, determining the rights and obligations associated with such personality, and establishing mechanisms for holding AI technologies accountable for their actions. Furthermore, the paper explores the difficulties in imposing criminal responsibility and punishment on AI technologies in cases where they commit crimes.   Conclusion: In conclusion, this scientific paper highlights the complexities and challenges associated with creating legal frameworks for AI technologies. By anticipating and predicting these challenges, it provides valuable insights for legislators, policymakers, and legal professionals involved in shaping the regulatory landscape for AI. Moving forward, it is essential to address these challenges proactively and develop legal frameworks that strike a balance between promoting innovation and safeguarding societal interests in the era of artificial intelligence.
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