OpenAI, derechos de autor y el nuevo frente legal que amenaza a la inteligencia artificial

The rapid evolution of generative artificial intelligence has transformed the legal debate over copyright, shifting the focus from data ingestion for training to the nature of the content produced. Although companies have historically invoked the concept of "fair use" to justify machine learning, this defense weakens when models generate works that are visually identical to protected originals. The expressive and easily identifiable nature of images, as opposed to text, exacerbates this risk, placing platforms in a legally vulnerable position regarding infringement claims. Legal liability for these infringements appears to extend beyond developers, implicating end users as well, although clear judicial doctrine establishing this shared responsibility is still lacking. The situation is further complicated by revelations of questionable practices by major developers, suggesting a possible intent to conceal the use of protected materials. This not only fuels lawsuits from the creative industry but also erodes public trust in technological ethics, especially when these tools are used to create offensive or non-consensual content. This article is relevant to the open data movement because it highlights the inherent contradictions in training AI on private or protected data. It underscores the urgency of developing transparent and ethical frameworks that balance innovation with respect for intellectual property and privacy. By demonstrating how opacity in data usage generates legal and social conflicts, the text emphasizes the need for sustainable access to information and knowledge creation, ensuring that technological progress is not built on the indiscriminate exploitation of intellectual resources without clear consent.

Source: wwwhatsnew.com
Published on 2025-10-28

OpenAI, derechos de autor y el nuevo frente legal que amenaza a la inteligencia artificial

Related news