AI: More Than Regulatory Laws, What We Need is a National Strategy
Argentina currently ranks 47th in the Global Artificial Intelligence Index. This prestigious ranking highlights that one of our main strengths is the lack of political, economic, and regulatory barriers hindering the development of AI.
The global impact of artificial intelligence (AI), especially with the rise of generative AI (capable of creating new content) and multimodal AI (designed to handle various types of data such as text, images, audio, and video), has sparked widespread debate about the need for regulatory laws and their scope. Many, still operating within an analog framework of legal thought, aim to prohibit, restrict, or limit the creation, deployment, and use of AI without fully understanding its unique characteristics, technological convergence, and the acceleration brought on by the Fourth Industrial Revolution.
In Argentina's National Congress, several bills have been introduced to regulate various aspects, both general and specific, of AI use. In this context, a key question arises: Do we need AI regulatory laws, or should we focus on a national AI strategy?
In 2019, the UK-based Tortoise Media, a media organization known for its distinctive approach called "slow journalism," which focuses on in-depth reporting and reflective analysis, launched the Global AI Index. This tool measures and ranks the state of AI development worldwide. The index assesses a country’s readiness to harness the benefits of AI, considering factors such as research, development, talent, and the integration of AI technologies into the economy.
The Global AI Index is built around three main pillars (Implementation, Innovation, and Investment) divided into seven sub-indices. Implementation examines talent (availability of trained AI professionals and the quality of educational institutions), infrastructure (the technological capabilities and infrastructure needed for AI solutions, including digital connectivity and computing power), and operational environment (political, economic, and regulatory factors affecting AI adoption and public perception of AI). Innovation focuses on research (measuring the quality and quantity of AI research, including scientific publications and patents) and development (investment in AI research and development by both public and private sectors). Investment analyzes governance (evaluating regulations, legislation, and public policies supporting AI development and adoption) and commerce (examining AI-related economic activity, from investments to private sector adoption of AI technologies).
Additionally, the index evaluates scale and intensity. Scale measures a country’s ability to implement and expand AI technologies on a large scale within its economy and society. Countries with high scores here are not only conducting AI research but also have the resources to apply it effectively at an industrial and societal level. Intensity assesses how much focus and dedication a country places on AI, including prioritizing AI development compared to other areas, and analyzing current activity and investment in research, infrastructure, and talent.
In conclusion, while there is growing interest in regulating AI, what Argentina—and many other nations—truly need is a comprehensive national strategy that incorporates AI’s potential to drive innovation, economic growth, and societal benefit. Such a strategy would position the country to fully harness AI’s capabilities while addressing concerns around ethics, privacy, and governance.
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