Fuentes y principios para el uso ético de la inteligencia artificial
The declaration of academic transparency in the use of AI is based on recognized international frameworks that place human dignity, human rights, and responsibility at the center of the development and use of artificial intelligence.
This section compiles the main statements, recommendations, and guidelines that inform the proposals, guidelines, and materials on which the software was developed. All of these are publicly accessible and constitute living references that are updated as technology evolves.
Main sources
OECD AI Principles
These principles, initially adopted in 2019 and updated in 2024, are the first intergovernmental standard on artificial intelligence. They guide governments, businesses, academia, and civil society in promoting innovative and trustworthy AI that respects human rights, democracy, and the rule of law, and drives responsible public policy.
1
UNESCO Recommendation on the Ethics of Artificial Intelligence
The UNESCO Recommendation is the first global standard on AI ethics, adopted by consensus by all 194 Member States in 2021. It establishes principles and areas of action to ensure that AI protects human rights, dignity, cultural diversity and the environment, with an emphasis on transparency, fairness and human oversight throughout the life cycle of AI systems.
2
Heredia Declaration: Principles on the Use of AI in Scientific Publishing
It proposes specific guidelines for the responsible use of AI in scientific research and publishing processes. It emphasizes the importance of transparency in AI use, the traceability of contributions generated by these tools, and the responsibility of authors, publishers, and reviewers in communicating academic knowledge. It is a key reference for the ethical use of AI in research and publishing contexts.
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Ethics Guidelines for Trustworthy AI – European Commission (AI HLEG)
These guidelines, developed by the European Commission's High-Level Expert Group on AI, define the framework for what is known as "trustworthy AI." They establish requirements such as human agency and oversight, technical robustness, privacy and data governance, transparency, diversity and inclusion, social and environmental well-being, and accountability. They bridge the gap between research, innovation, and the responsible implementation of AI systems across various sectors.