IA Generativa y el Pacto de la UE: un futuro tecnológico responsable

Generative Artificial Intelligence is redefining business models and social interactions, but its widespread adoption demands robust governance that balances innovation with the protection of human rights and security. This article is relevant to the open data community because it underscores the critical need for flexible and transparent regulatory frameworks. For AI to be ethical and effective, access to training data must be regulated by balancing intellectual property rights with innovation, ensuring that the datasets used to train models do not violate rights or concentrate power in the hands of a few actors, thereby fostering fair competition. Moreover, digital transformation poses significant challenges in the labor market, displacing certain tasks while simultaneously creating demand for specialized talent. There is an emphasis on the importance of continuous learning and the development of hard-to-automate skills, such as critical thinking and creativity. For data managers, this means that data are not merely technical inputs but structural elements that require ethical oversight to ensure that automation does not exacerbate labor inequalities but instead complements human capabilities. Finally, Telefónica positions self-regulation and public-private collaboration as essential pillars, signing compacts that promote responsible standards of conduct. The relevance to open data lies in this call for collective action: the survival and success of the AI era depend on institutions, companies, and citizens co-creating clear rules regarding traceability and sustainability. Only through global coordination and shared ethical principles can we ensure that technology benefits all of society without compromising the integrity or equitable availability of information.

Source: telefonica.com
Published on 2024-09-25

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