Abstract
By 2024, more than 80% of the world’s AI computing power would be controlled by just five companies. These companies owned the majority of large-scale AI data centers and supercomputers. Here, the goal is to increase first-party objective information and algorithmic logic for sustainable and scalable global AI governance, and it is important that this be done through the control of every single internet user. It is important to go further in research and experimentation on antitrust models, laws and algorithms, addressing the dominance of the AI market in very few hands, promoting competition. I have investigated this extreme concentration in the AI market with the support of the Latour Actor/Network School, and LLM’s of AI, as well as from the logical principles of Dialectical Materialism, Political Economy and already existing ethical frameworks of AI, such as the laws of the USA, the UK and the EU, as well as in reference to certain social activisms of the same nations. The implications of not researching these issues are high and deep, as a global society of users and as a species. Both ecosystems, the Internet and the organic one, are interconnected. Our quality of life, but above all that of our descendants, does not depend on the control of AI alone, as Cybersecurity and AI Ethics usually promotes, but on the interaction of both online-offline social patterns and algorithmic agents. We must apply real scientific and humanistic knowledge on the domain of these markets of it will be too late.
Presenters
Gustavo CerecerProfessor, Social Science and Humanities Faculty, Universidad Autónoma de San Luis Potosí, San Luis Potosí, Mexico
Details
Presentation Type
Paper Presentation in a Themed Session
Theme
KEYWORDS
AI Governance, AI Ethics, Governance Algorithms, AI Markets
