El enorme lío de las imágenes 'creadas' por robots: derechos de autor, falsedad, manipulación…
The article highlights the growing difficulty of distinguishing reality from virtuality due to advances in generative artificial intelligence. Experts warn that the proliferation of tools such as Deepfakes and image generators increases public manipulation, as these systems learn from massive web datasets that often perpetuate social stereotypes and discriminatory biases. Public confusion is identified as a critical risk requiring immediate intervention. To address this challenge, regulation, such as the upcoming AI Act in the European Union, aims to enforce transparency through mandatory identification of AI-generated content. This approach does not ban the technology but rather regulates its harmful uses, balancing innovation with the protection of human dignity. Furthermore, issues of intellectual property are raised, along with the need for external audits to prevent algorithms from operating as opaque “black boxes” that respond solely to commercial interests. This report is relevant to the open data movement because it underscores the fundamental importance of transparency in datasets and algorithms. The ability to audit information sources is essential to combat biases, ensure accountability, and build public trust in emerging technologies, ensuring that technological development serves the common good rather than privileged groups.
Source: publico.esPublished on 2023-04-03