Sistema financiero, en riesgo por uso de la IA
The lack of state oversight over the intensive use of artificial intelligence in the Mexican financial sector constitutes a serious risk to the security of millions of users. This insufficient regulation significantly increases vulnerability to the theft and mishandling of personal data, which could accelerate cyber fraud and identity forgery, affecting not only digital banking but also other critical sectors such as healthcare and education. The emergence of quantum computing and advanced AI capabilities urgently demands ethical regulation that prioritizes human rights and privacy over corporate efficiency. Experts emphasize the need for a regulatory framework that does not stifle innovation but instead establishes clear safeguards, requiring financial institutions to be transparent about data collection and to obtain specific consent for the use of automated systems. This case is relevant to *open data* because it illustrates the fundamental tension between technological transparency and the protection of sensitive information. The article underscores that while data openness can drive innovation, it must coexist with robust governance mechanisms that prevent the improper exploitation of personal information. The proposed regulation seeks to balance digital economic development with the assurance that citizens' data remain secure and are treated ethically, serving as a model for balancing informational freedom with public safety.
Source: milenio.comPublished on 2023-12-12