AI and the stewardship of science: Time for a new blueprint?

The intrinsic value of research depends largely on the ability of its practitioners to translate its outputs into applications and insights that benefit society at large.  In recent decades, the stewardship of this process has tended to rest in the hands of select groups of experts, given added legitimacy by academic seniority, the peer review system and codes of research ethics.  Yet the mainstream emergence of AI technologies - combined with the chaotic realities of the social media age - are obliging a deep rethink how research outputs are assessed, translated and communicated, and how to secure public and political trust in science. In this context, does the world of research need to redefine its stewardship models and the ways in which it connects and communicates with society? And looking to the future, what roles might different stakeholders play in shaping and installing a new paradigm?