Legal Status of Artificial Intelligence from Quantum-Theoretic Perspective

E. Melnikova, I. Surov
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Abstract

Massive inclusion of artificial intelligence (AI) in the technosphere and electronic governments urges an update in legal regulation of these and related areas. The issue converges on the key question of whether AI can be endowed with legal personhood and capacity. Opposing views in this respect build on hardly compatible ethics and largely outdated scientific grounds with a clear perspective for deep cultural antagonisms and further fragmentation of the world. We contribute to this debate from the perspective of quantum cognitive science and show how it can resolve some of the current impasses. Our approach builds on the quantum-theoretic refinement of the concept of uncertainty into quantum and classical types: classical uncertainty denotes subjective ignorance of the present state of affairs, while quantum uncertainty accounts for individual freedom to construct the future. We show that legal capacity of intelligence, at bottom, is defined by the type of uncertainty it is capable to resolve. Natural intelligence, in particular, can resolve quantum uncertainties, generating genuine novelty and affective experience in the process. Classical AI, in contrast, is limited to algorithmic computation, bound to produce predefined results regardless of its complexity. Concepts of decision-making, subjectness, creativity, and personal meaning then are recognized as physically inapplicable to such systems. The proposed definitions of these terms complement and sharpen the criteria of legal capacity in the existing legislations, indicating that “autonomy” is essentially equivalent to “appreciation.” Classical AI then appears as fundamentally alien to subjectness and legal capacity both in civil and common laws, resolving a delicate contradiction between them. Quantum-empowered AI, in contrast, escapes this conclusion due to its access to quantum uncertainty, introducing novel challenges with respect to responsibility gaps and meaningful human control. The developed approach aligns with the present legal practice and ethical discourse, contributing to the scientifically informed development of law in technological societies.
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从量子理论角度看人工智能的法律地位
人工智能(AI)在技术圈和电子政府中的大规模融入,促使对这些领域和相关领域的法律监管进行更新。这个问题集中在人工智能是否可以被赋予法律人格和行为能力的关键问题上。在这方面的反对意见建立在难以兼容的伦理和大部分过时的科学基础上,对深刻的文化对抗和世界的进一步分裂有一个清晰的看法。我们从量子认知科学的角度为这场辩论做出了贡献,并展示了它如何解决当前的一些僵局。我们的方法建立在对不确定性概念的量子理论细化为量子和经典类型的基础上:经典不确定性表示对当前状态的主观无知,而量子不确定性则说明了个人构建未来的自由。我们表明,智力的法律能力,从根本上说,是由它能够解决的不确定性类型来定义的。特别是自然智能,可以解决量子不确定性,在这个过程中产生真正的新奇和情感体验。相比之下,经典人工智能仅限于算法计算,无论其复杂性如何,都必然产生预定义的结果。决策、主体性、创造力和个人意义的概念被认为在物理上不适用于这样的系统。这些术语的拟议定义补充和强化了现有立法中的法律行为能力标准,表明“自治”本质上等同于“赞赏”。古典人工智能似乎从根本上与民法和普通法中的主体性和法律行为能力格格不入,解决了它们之间的微妙矛盾。相比之下,量子授权的人工智能由于其对量子不确定性的访问而逃避了这一结论,在责任差距和有意义的人类控制方面引入了新的挑战。开发的方法与目前的法律实践和伦理话语一致,有助于科学地发展技术社会中的法律。
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