The development and rapid diffusion of Artificial Intelligence (AI) systems, especially those related to deep learning, generative AI and basic models, raise complex questions regarding the governance of scientific research.

The growing integration of AI in many intellectual activities is also profoundly changing the way research is done, intervening in essential phases such as data collection and analysis, theoretical modelling and the publication of results. This means that the discussions that have arisen around the self-learning, autonomy and creativity of AI systems, among others, cannot only represent the object of research investigation but must be placed at the center of policymakers’ reflections, to stimulate governance choices to protect the freedom of science.

In this context, the scientific community is called upon to adopt policies that give adequate attention to these issues, to ensure that scientific research continues to represent that ethical-social dimension in which to guarantee “the full development of the human person”.