AI Federalism: Shaping AI Policy within States in Germany

Jobin, Anna; Guettel, Licinia; Liebig, Laura; Katzenbach, Christian

doi:10.48550/arxiv.2111.04454

Cited by 2 publications

(2 citation statements)

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“…Two leading countries, France and Germany, are leaders in AI development policies in the EU and first published policy documents (Katzenbach & Bareis, 2021). Additionally, to show different approaches to the studied subject, Poland was added as a country that is not a leader, but represents a different approach which helps answer the second research question about the specificity of the differences in policies among France, Germany, and Poland (Galindo et al, 2021;Jobin et al, 2021). Special attention is paid to the management of the development of AI in terms of building long-term strategies for the future.…”

Section: Methodsmentioning

confidence: 99%

The European map of artificial intelligence development policies: a comparative analysis

Woszczyna

Mania

2023

International Journal of Contemporary Management

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Objective The aim of this paper is to discuss the management aspect of artificial intelligence development policy by the national regulators of the 27 European Union (EU) member states. The solutions formulated by three of them—Germany, France (as a pioneers), and Poland—are analyzed in depth. Conclusions The obtained results allow us to conclude that out of 27 EU countries, only one has not yet prepared its strategic project on artificial intelligence (AI) development, while among the existing policies one can find significant differences in the approach to the matter of strategic management. Methodology The research methods used are content analysis and comparative analysis of selected source documents. In the course of the deliberations presented, key legal acts concerning the areas of AI and modern technologies are cited. Practical applications The presented work formulates a starting point for further research and directions of changes in the management of AI development policy. The attention of subsequent researchers should focus on the possibility of a detailed analysis of other documents published by EU member states, a comparison of policies of other countries across the world, and even an attempt to examine the global dimension of AI strategies. Originality The article addresses the problem of creating law only following, rather than preceding, the emergence of technological changes, the lack of systemic regulation of AI tools and mechanisms, as well as the absence of integrated forms of international cooperation with a strategic and long-term dimension.

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Section: Methodsmentioning

confidence: 99%

The European map of artificial intelligence development policies: a comparative analysis

Woszczyna

Mania

2023

International Journal of Contemporary Management

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“…The production and diffusion of AI and its constituent components is a key issue for technology and industrial policy, such that in recent years we have witnessed a 'Cambrian explosion' of AI policies and strategies at all levels of government, from the supranational to the local in an emerging AI federalism (Jobin et al, 2021). As we anticipated using the case of data in The 'next big thing': Artificial Intelligence, our framework can guide the discussion around AI policy and its instruments.…”

Section: General Implications For Policymentioning

confidence: 99%

Artificial Intelligence’s new clothes? A system technology perspective

Vannuccini

Prytkova

2023

Journal of Information Technology

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In this paper, we offer an original framework to study Artificial Intelligence (AI). The perspective we propose is based on the idea that AI is a system technology, and that a useful description of AI cannot abstain from mapping the components of the system, their interdependence, and how the synergies they create shape at the roots the directions of AI development. We adopt the concept of Large Technical System (LTS) to give substance and structure to our idea. Using LTS, we are able to scaffold AI and the forces at work steering its production, deployment, and evolution. We find that AI as a system shares essential features with infrastructural technologies such as the Internet. The LTS framework proves very useful to capture important nuances of the technology, and it allows us to trace the connections and cross-influences among its constituting domains - algorithms (software), compute (hardware), and data. We compare our proposed framework with other concepts usually associated with radical innovations, and suggest in which respects AI differs from these ideal-types. We consider ours a timely exercise, as we witness the formation of an AI industry. While in the making, this industry is rapidly ossifying, together with its specific problems, power imbalances, and development scenarios; the focus on the system-ness of AI allows uncovering the deeper structure of this technological breakthrough.

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AI Federalism: Shaping AI Policy within States in Germany

Cited by 2 publications

References 0 publications

The European map of artificial intelligence development policies: a comparative analysis

The European map of artificial intelligence development policies: a comparative analysis

Artificial Intelligence’s new clothes? A system technology perspective

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