Algorithmic Governance Policy and Implementation Approaches in the United States

Lucero, Karman

doi:10.2139/ssrn.3902733

Cited by 2 publications

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Subnational AI policy: shaping AI in a multi-level governance system

et al. 2022

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The promises and risks of Artificial Intelligence permeate current policy statements and have attracted much attention by AI governance research. However, most analyses focus exclusively on AI policy on the national and international level, overlooking existing federal governance structures. This is surprising because AI is connected to many policy areas, where the competences are already distributed between the national and subnational level, such as research or economic policy. Addressing this gap, this paper argues that more attention should be dedicated to subnational efforts to shape AI and asks which themes are discussed in subnational AI policy documents with a case study of Germany’s 16 states. Our qualitative analysis of 34 AI policy documents issued on the subnational level demonstrates that subnational efforts focus on knowledge transfer between research and industry actors, the commercialization of AI, different economic identities of the German states, and the incorporation of ethical principles. Because federal states play an active role in AI policy, analysing AI as a policy issue on different levels of government is necessary and will contribute to a better understanding of the developments and implementations of AI strategies in different national contexts.

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Subnational AI policy: shaping AI in a multi-level governance system

et al. 2022

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Artificial Intelligence and Law

Koru,

Ulusoy,

Aybay

2024

Advances in Computational Intelligence and Robotics

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As in many other fields, the use of artificial intelligence (AI) technologies in the legal ground is inevitable. In an era defined by rapid technological advancements, combining AI and the rule of law poses both opportunities and challenges. Certain features of the law that are necessary for it to guide behavior effectively constitute the rule of law. AI has the potential to revolutionize various sectors, including the justice system. However, its widespread adoption raises concerns about the preservation of fundamental legal principles and human rights. This study investigates recent works on the use of AI in the legal ground. Although the contribution of AI to the field of law may improve performance, there may also be some dangers, regarding issues like the principle of legal security, or protection of human rights. A discussion on such dangers is included from a legal perspective, which will help developers of AI tools for legal systems.

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Algorithmic Governance Policy and Implementation Approaches in the United States

Cited by 2 publications

References 0 publications

Subnational AI policy: shaping AI in a multi-level governance system

Subnational AI policy: shaping AI in a multi-level governance system

Artificial Intelligence and Law

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