La Inteligencia Artificial en Argentina: ¿suficiente con buenas intenciones?
Argentina has established a program to regulate artificial intelligence, aiming to align with international standards for transparency and data protection. However, the main conclusion is that merely defining these principles is insufficient without robust management and significant investment. The resolution sets a framework, but the real challenge lies in executing concrete measures that balance ethical obligations with emerging technological and economic needs, ensuring that intentions translate into secure and responsible practices. The article highlights that current efforts are largely characterized by good intentions rather than effective prevention, particularly regarding personal data protection. There is a critical gap in implementing strong programs of best practices, leaving both the public and private sectors vulnerable. The state must move beyond reactive measures to proactive safeguards, especially given the increasing sophistication of algorithms and the widespread use of biometrics, which significantly impact human life and privacy. This topic is highly relevant to open data because it underscores the necessity of combining transparency with strict data governance. For open data initiatives to succeed, they must operate within a clear regulatory framework that protects citizen rights while fostering innovation. Without dedicated resources and active management, open data efforts risk becoming ineffective shells, failing to address the ethical and security risks inherent in modern AI-driven data processing.
Source: iprofesional.comPublished on 2023-09-16