La Inteligencia Artificial en Argentina: ¿suficiente con buenas intenciones?
The article argues that while Argentina has established a legal framework for transparency and data protection in artificial intelligence, effective implementation depends on concrete management and sustained investment rather than mere regulatory intentions. The core conclusion is that without robust operational programs and clear rules, existing norms remain empty shells incapable of mitigating the substantial ethical, technological, and economic risks posed by AI adoption. The text highlights the disconnect between the state’s stated objectives and its actual capacity to enforce data security, noting persistent vulnerabilities in both public and private sectors. It emphasizes that current measures lack the necessary preventive mechanisms and active oversight required to protect citizens' rights, especially as algorithmic capabilities and biometric usage expand. Consequently, the author stresses that good intentions are insufficient without a strategic approach that prioritizes risk mitigation over passive compliance. This analysis is highly relevant to open data because it underscores the critical necessity of coupling data openness with rigorous governance structures. True open data initiatives cannot succeed if they ignore the security and ethical implications of AI processing. The article serves as a warning that transparency initiatives must be supported by tangible technical and managerial resources to ensure that data access does not compromise privacy or security, thereby fostering a trustworthy digital ecosystem.
Source: iprofesional.comPublished on 2023-09-25
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