., Ingram, E., Riley, D., Rover, D., Salzman, N., & Sweeney, J. (2017). Talking about a Revolution: Overview of NSF RED Projects. Paper presented at the ASEE Annual Conference and exposition, Columbus, OH.Miller, R. B., & Brickman, S. J. (2004). A Model of Future-Oriented Motivation. Educational Psychology Review. 16(1), 9–33. https://doi.org/10.1023/B:EDPR.0000012343.96370.39Min, T., Zhang, G., Long, R. A., Anderson, T. J., & Ohland, M. W. (2011). Nonparametric Survival Analysis of the Loss Rate of Undergraduate Engineering Students. Journal of Engineering Education, 100(2), 349–373.Steif, P.S. and Dantzler, J.A. (2005), A Statics Concept Inventory: Development and Psychometric Analysis. Journal of Engineering
project has set the stage for lasting cultural transformation. Sustaining these gainswill require ongoing commitment despite leadership transitions and funding shifts. Futureresearch should examine long-term student outcomes and faculty engagement, while broaderadoption of this model could promote systemic change in engineering education.AcknowledgementsThis material is based upon work supported by the National Science Foundation under Grant No.1920761. Any opinions, findings, and conclusions or recommendations expressed in this materialare those of the author(s) and do not necessarily reflect the views of the National ScienceFoundation. References[1] S. M. Lord et al, "Talking about a revolution
platforms that produce text, images, and media based on prompts,known as Generative AI (GenAI). At the same time, researchers in industry, government, andacademia recognize a need for responsible governance of AIs. They question how to regulatepowerful AIs being developed at the frontier of computing. Engineers play an important,informative role in this process, offering valuable technical and design knowledge topolicymakers, including concerns about risks and ethical applications. This summary identifiedresearch papers, governance documents, and industry approaches to responsible AI policy designwithin the U.S. It provides an overview of the voices at the heart of designing AI policy anddemonstrates the challenge of responsibly regulating emergent