¿Tiene sus redes sociales públicas? Debería considerar hacerlas privadas; Meta no es la única que puede utilizar sus datos para entrenar IA

The article highlights the growing vulnerability to scams enabled by generative artificial intelligence, such as deepfakes and voice cloning. These technologies allow for the precise and alarming falsification of identities, threatening both the financial security of large corporations and the personal integrity of ordinary individuals. Despite regulatory efforts and watermarking on closed platforms, the existence of open-source tools and unrestricted access to personal data on social media create an environment where current protective mechanisms are insufficient and easily circumvented. The relevance to open data lies in the paradox that transparency and open access to information, which are fundamental to many technological ecosystems, have become the primary fuel for these attacks. The public availability of photographs, interactions, and communication patterns enables malicious actors to train models without authorization, demonstrating that the ethical management of open data must include strict safeguards regarding consent and secondary use of personal information. In conclusion, a paradigm shift is required that integrates digital identity protection as an inherent condition of data availability. The solution is not only technological but also social; reducing the exposure of sensitive information and adopting critical verification practices are essential steps. This implies that open data communities must promote standards that prioritize user privacy and security over the aggressive automation of artificial intelligence.

Source: eltiempo.com
Published on 2024-08-19

¿Tiene sus redes sociales públicas? Debería considerar hacerlas privadas; Meta no es la única que puede utilizar sus datos para entrenar IA

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