The National Academies of Sciences, Engineering, and Medicine's Committee on Solid Earth Geophysics<https://www.nationalacademies.org/our-work/committee-on-solid-earth-geophysics> is hosting a webinar entitled "Artificial Intelligence and Machine Learning in Geophysics - Are We Beyond the Black Box?<https://www.nationalacademies.org/event/40915_11-2023_artificial-intelligence-machine-learning-geophysics-beyond-black-box-committee-on-solid-earth-geophysics-fall-2023-meeting>" on Thursday, November 16 at 1:00 PM EST. This meeting will bring together practitioners and theoreticians from around the earth sciences to explore advances in fields such as physics constrained ML, physics discovery ML, and causality to explore where things stand as to usage of ML technique to improve insights into physics and dynamics of systems. Speakers will include: Anima Anandkumar, Caltech Karianne Bergen, Brown University Youngsoo Choi, Lawrence Livermore National Lab Yao Lai, Stanford University Jannes Münchmeyer, Université Grenoble Alpes Zach Ross, Caltech Jakob Runge, German Aerospace Center, Technische Universität Berlin Laure Zanna, New York University To view the agenda and register for the virtual event, visit the project webpage: https://www.nationalacademies.org/event/40915_11-2023_artificial-intelligence-machine-learning-geophysics-beyond-black-box-committee-on-solid-earth-geophysics-fall-2023-meeting. Please contact Jonathan Tucker (jtucker@nas.edu) with any questions.