La Inteligencia Artificial en Argentina: ¿suficiente con buenas intenciones?
The article concludes that Argentina’s new resolution on AI transparency, while a significant symbolic step, is insufficient without concrete implementation strategies, adequate funding, and effective management. The mere creation of a program fails to address the critical gap between ethical intentions and the practical, technological, and economic realities of deploying artificial intelligence. Therefore, the true challenge lies not in legislation alone, but in executing robust governance that ensures safe and responsible technology use. The core issue highlighted is the lack of preventive measures and effective data protection mechanisms within both the public and private sectors. The public sector currently demonstrates weaknesses in safeguarding information, while the private sector prioritizes growth over compliance. Without clear rules, training, and proactive investment, existing norms risk becoming empty shells that fail to mitigate the radical societal changes and ethical risks associated with advanced algorithms and biometric data processing. This discussion is highly relevant to open data, as transparency and data protection are foundational to open government initiatives. AI systems often process the very data that constitutes open datasets, raising concerns about privacy, bias, and accountability. For open data ecosystems to remain trustworthy and legally compliant, they must integrate these AI governance principles, ensuring that data accessibility does not come at the cost of individual rights or security.
Source: iprofesional.comPublished on 2023-09-14
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