Designing artificial intelligence policy: Comparing design spaces in Latin America

Filgueiras, Fernando

doi:10.1111/lamp.12282

Cited by 9 publications

(4 citation statements)

References 73 publications

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“…In the field of SS, a notable difficulty extends beyond the scope of individual firms and belongs to the Latin American area. Specifically, this challenge revolves around the inadequacy of government initiatives aimed at facilitating the proficient use of technology within small and medium enterprises (SMEs) [97,98].…”

Section: Stage Two: Testing and Resultsmentioning

confidence: 99%

Systems Approach for the Adoption of New Technologies in Enterprises

Ramírez-Gutiérrez,

Solano García,

Morales Matamoros

et al. 2023

Systems

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There is a great challenge in the business sector to adopt new technologies that boost companies to break into Industry 4.0, especially to obtain the capacity to adopt and develop complex systems based on: artificial intelligence, Big Data, Data Mining, and Cyber Physical Systems. However, efforts tend to be more of an empirical process, rather than a prior analysis, that allows companies to identify the complexity of the situation and trigger a viable implementation. For this reason, this research carried out a systematic review to identify and analyze, from the Systems Science approach, the proposed and most used models to face these organizational problems. In total, 42 of the 3800 documents were filtered for discussion using a systems approach. In addition, one of the models was tested by interviews with Mexican managers to understand how it promotes the abstraction of complexity necessary for a viable system change. The findings at the end of the work were to determine the lack of systemic properties in the current proposals, especially in the efforts to adopt artificial intelligence and the need to have a suitable model for the context of technology.

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Section: Stage Two: Testing and Resultsmentioning

confidence: 99%

Systems Approach for the Adoption of New Technologies in Enterprises

Ramírez-Gutiérrez,

Solano García,

Morales Matamoros

et al. 2023

Systems

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“…To address these concerns, several Latin American governments convened in Santiago de Chile in October 2023 under the aegis of UNESCO and the Corporacion Andina de Fomento (CAF) to discuss AI ethics and regulatory frameworks for the deployment of generative AI systems. The initiative highlights the region's commitment to collaborative efforts in determining the future of AI governance, emphasizing the importance of regional cooperation and shared strategies [46,146].…”

Section: Southern Americamentioning

confidence: 99%

“…While collaborative efforts are crucial, individual countries in South America also have distinct approaches to AI regulation [46,94,109]:…”

Section: Southern Americamentioning

confidence: 99%

“…Europe, known for its stringent data protection and privacy regulations like the GDPR, has influenced global AI governance norms. South American countries appear to recognize European proposals such as the EU AI Act, but are concerned in tailoring their AI policies to fit their unique regional context [46]. South America's approach to AI regulation is therefore characterized by a mix of collaborative regional efforts and individual national strategies.…”

Section: Southern Americamentioning

confidence: 99%

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Managing the race to the moon: Global policy and governance in Artificial Intelligence regulation—A contemporary overview and an analysis of socioeconomic consequences

Walter

2024

Discov Artif Intell

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This paper delves into the complexities of global AI regulation and governance, emphasizing the socio-economic repercussions of rapid AI development. It scrutinizes the challenges in creating effective governance structures amidst the AI race, considering diverse global perspectives and policies. The discourse moves beyond specific corporate examples, addressing broader implications and sector-wide impacts of AI on employment, truth discernment, and democratic stability. The analysis focuses on contrasting regulatory approaches across key regions—the United States, European Union, Asia, Africa, and the Americas and thus highlighting the variations and commonalities in strategies and implementations. This comparative study reveals the intricacies and hurdles in formulating a cohesive global policy for AI regulation. Central to the paper is the examination of the dynamic between rapid AI innovation and the slower pace of regulatory and ethical standard-setting. It critically evaluates the advantages and drawbacks of shifting regulatory responsibilities between government bodies and the private sector. In response to these challenges, the discussion proposes an innovative and integrated regulatory model. The model advocates for a collaborative network that blends governmental authority with industry expertise, aiming to establish adaptive, responsive regulations (called “dynamic laws”) that can evolve with technological advancements. The novel approach aims to bridge the gap between rapid AI advancements in the industry and the essential democratic processes of law-making.

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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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Designing artificial intelligence policy: Comparing design spaces in Latin America

Cited by 9 publications

References 73 publications

Systems Approach for the Adoption of New Technologies in Enterprises

Systems Approach for the Adoption of New Technologies in Enterprises

Managing the race to the moon: Global policy and governance in Artificial Intelligence regulation—A contemporary overview and an analysis of socioeconomic consequences

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

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