Conjunctural issues in AI regulation
DOI:
https://doi.org/10.29397/reciis.v18i3.4634Keywords:
Artificial intelligence regulation, Automated systems, Transparency, Explainability, Digital and data sovereigntyAbstract
The text begins by addressing the debate surrounding the regulation of existing artificial intelligence (AI), divided between two poles: the protection of innovation and the need to mitigate social and environmental risks. It progresses to highlight the colossal concentration of computational power and data in the hands of digital oligopolies, the big tech companies. The text raises concerns about the impact of this concentration on digital sovereignty and the country’s ability to control its infrastructures and data. It argues that the lack of transparency and explainability in AI systems exacerbates the risks of discrimination and social exclusion. The text advocates that AI regulation should ensure rights, safeguard sovereignty, and promote an autonomous and inclusive digital ecosystem.
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