La Inteligencia Artificial generativa y la propiedad intelectual
The New York Times’ lawsuit against OpenAI and Microsoft highlights the growing tension between content creators and generative artificial intelligence platforms. At the heart of the conflict is the unauthorized use of copyrighted works to train AI models, a practice that technology companies argue provides a competitive advantage while economically harming traditional media. This situation reflects an ethical dissonance: the same corporations that criticize misappropriation often employ similar business models that rely on user data. This article is highly relevant to open data, as it exposes the urgent need to reform data governance. The discussion extends beyond legal issues to address intellectual property and the economic value that original creators do not capture in the current digital ecosystem. It underscores the imperative need for a fairer, more democratic model in which end users are recognized as the true owners of their data, ensuring that information transactions benefit those who generate it, in line with the transparency and equity principles promoted by open data initiatives. Moreover, the irreversible nature of AI learning—which does not allow for “unlearning” incorrect or biased information—highlights the ethical responsibility involved in data curation. This is not merely a technological issue but one rooted in fundamental values concerning privacy, rights of publicity, and ownership. Therefore, the evolution toward responsible artificial intelligence demands widespread public education and clear regulatory frameworks that protect both individual rights and the integrity of intellectual assets, ensuring that technological advancement does not come at the expense of social justice and ownership of information.
Source: canal-ar.com.arPublished on 2024-01-10