Inteligencia artificial: cuáles son los 5 peligros que más preocupan a los expertos

Generative artificial intelligence has democratized content creation, but its widespread integration has exposed serious risks to cybersecurity and fundamental rights. Experts warn that the ease of access to these tools has created legal and ethical gaps, endangering privacy and originality. Because the technology is trained on massive volumes of data, it often lacks transparency regarding the origin of that information, which facilitates copyright infringement and the exploitation of individuals’ identities without consent or compensation. The relevance of this text for the open data community lies in its critique of the training data sources for these models. Generative AI relies on large datasets, frequently obtained from public sources without explicit authorization. This directly challenges the principles of transparency and consent that define ethical practices in open data management, highlighting the need to regulate how datasets that feed these systems are collected, used, and shared. To mitigate these impacts, an integrated approach is required that prioritizes regulatory transparency, effective content moderation, and public education about the risks of misinformation. The solution is not solely technical but also social, requiring major technology companies and society at large to assume responsibility for developing ethical practices. Only through data diversification and continuous auditing can we ensure that the use of AI respects informational integrity and individual rights.

Source: clarin.com
Published on 2024-03-16

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