An ad hoc planning committee of the National Academies of Sciences, Engineering, and Medicine will organize and conduct a public workshop that presents a high-level synopsis for scientists and policymakers into the recent use of machine learning and other AI tools for research into metastable materials, e.g., kinetically-trapped materials that retain remarkable and useful properties such as superconductivity or unprecedented hardness when outside of the extreme conditions of their thermodynamic ground state. The planning committee will develop the agenda for the workshop, select and invite speakers and participants, and moderate the discussions. A designated rapporteur will prepare workshop proceedings.