Our guest is the Commandant of Midshipman, Col James Mcdonough, USMC. We discuss how the principles of character and resilience influenced the evolution of his leadership style, from Midshipman to Marine Colonel. We go on to talk about the changing landscape of technology in modern warfare, the evolving role of women in leadership positions, and the increasing emphasis on mental health at the Academy and in the military. We conclude with some final words from Col Mcdonough, looking towards the future, and how he envisions what his legacy will be at the Naval Academy.

Colonel “J.P.” McDonough is the 89th Commandant of Midshipmen at the US Naval Academy. He is a career artillery officer and has held operational assignments in every level of command including Commander, 10th Marine Regiment, 2nd Marine Division. He has numerous deployments under his belt in the War on Terror as commanding officer of artillery units, and embedded training with the Afghan National Army. Besides Staff and Joint tours, he served as a modeling and simulation analyst for multiple simulation programs at the USMC Training and Education Command.

Colonel McDonough graduated from the Naval Academy with a Bachelor of Science in Systems Engineering in 1994. He earned a master’s degree in virtual environments, modeling and simulation from the Naval Postgraduate School, and graduated with distinction from the Eisenhower School for National Security and Resource Strategy at National Defense University.

How does the Naval Academy balance the potential educational benefits of generative AI with the need to maintain educational integrity and the development of critical thinking skills in Midshipmen? Given the nuanced approach to AI in classroom settings, what challenges have you faced in implementing and enforcing policies on the use of generative AI, and how have these been addressed? How has the introduction of generative AI impacted the pedagogical approaches within the Academy, especially concerning the emphasis on the writing process over the final product? Finally, with generative AI technologies evolving rapidly, what future plans does the Naval Academy have to continuously adapt its educational strategies to ensure that Midshipmen remain competitive and ethically grounded leaders in the age of AI?

Doctor Samara Firebaugh is the Academic Dean and Provost at the United States Naval Academy. In that role, she is responsible for the entire academic program for the 4,400-member Brigade of Midshipmen, oversees nearly 600 faculty members, and serves as the primary source of information and advice for the Superintendent regarding the education of midshipmen.

Professor Firebaugh graduated magna cum laude from Princeton University with a Bachelor’s degree in Electrical Engineering in 1995. She received her Masters and PhD from the Massachusetts Institute of Technology in 1997 and 2001, respectively, both also in Electrical Engineering. Dr. Firebaugh’s area of scholarship is microelectromechanical systems (MEMS), and particularly in integrated sensors and micro robotics. She is the 2014 recipient of the Class of 1951 Civilian Faculty Award for Excellence in Teaching, and the 2012 recipient of the Raouf Award for Excellence in Engineering Teaching.

How might the philosophies of the classical Greeks apply to today's AI technologies? Does the concept of a virtuous life translate into the development and use of artificial intelligence? Given their belief in the value of seeking knowledge as a pathway to virtue, how might this principle apply to the creation of AI systems that learn and evolve? Plato introduces the four cardinal virtues of wisdom, courage, justice and temperance in Book 4 of "The Republic" and Aristotle expands them and explains how to make them practical in "The Nicomachean Ethics. How can these virtues be integrated into the design and operational principles of AI systems to ensure they contribute positively to society? The Greeks faced numerous ethical dilemmas that tested their principles. Can you discuss a modern ethical dilemma in AI that may involve a young Naval Officer's leadership and decision making, and how applying a classical Greek approach to ethics might offer a path to resolving it?

Dr. Joe Thomas serves as the Director, VADM James B. Stockdale Center for Ethical Leadership at the US Naval Academy. A retired Marine, he served previously as the Class of 1961 Professor of Leadership Education at USNA and as Director, MajGen John A. Lejeune Leadership Institute at Marine Corps University. In addition, he’s taught at the University of Notre Dame, University of Maryland, George Washington University and the National Outdoor Leadership School. He has published five books on the topics of leadership and ethics, along with numerous articles, book chapters, and research reports. Joe supported student research that led to the award of Rhodes, Mitchell, and Fulbright scholarships. Joe holds masters’ degrees from the Maxwell School of Citizenship and Public Affairs at Syracuse University and the US Army War College, a PhD from George Mason University, and a Certificate in Public Leadership from the Brookings Institute.

We are at an inflection point in warfare, just as significant as the introduction of gunpowder or the airplane. The Joint Artificial Intelligence Center (JAIC) is transforming U.S. Joint warfighting and departmental processes through the integration of Artificial Intelligence. Does the JAIC work in the data center, or at the tip of the spear? How does it work with service components, and with civilian tech companies to get the job done? What are the ethical implications of AI in the DOD? What can a junior officer do today, to make sure s\he is ready to use AI assets?

What is the role of AI in modern targeting processes. We explore the delicate balance between human and machine functions, unravel the essence of 'meaningful human control' in AI targeting, and dissect the crucial steps of target development. Delve into how target system analysis enhances our understanding of enemy vulnerabilities and interdependencies. Plus, we examine the ethical dimensions of maintaining human control in an air interdiction mission. This is an insightful discussion on the intersection of technology, strategy, and ethics in warfare.

Mitt Regan, the McDevitt Professor of Jurisprudence at Georgetown University Law Center, excels in international law, national security, human rights, military and legal ethics, and AI ethics. He is the Director of the Center on Ethics and the Legal Profession and Co-Director of the Center on National Security. Additionally, Regan is a Senior Fellow at the U.S. Naval Academy's Stockdale Center for Ethical Leadership. He's been integral in key projects on national security and ethical leadership. He has authored impactful books on Asymmetric Conflict and National Security Intelligence, including 'Drone Strike,' Professor Regan has served as law clerk to Justice William J. Brennan, Jr. on the U.S. Supreme Court and then-Judge Ruth Bader Ginsburg on the U.S. Court of Appeals for the D.C. Circuit.

Responsible AI Governance involves ongoing monitoring and evaluation of AI systems to identify and address potential risks. This proactive approach helps organizations manage risks related to bias, security, and unintended consequences. But why is RAI Governance important and why does it matter? How can one get started when you want to build RAI Governance control functions and mechanisms in your organization? And what are the best-practices and tips for RAI governance?

Dr. Ben Lange is a Research Group Lead in the Ethics of AI at the Ludwig Maximilians University of Munich and Munich Center for Machine Learning. He holds an Associate Researcher Position at the Oxford Uehiro Centre for Practical Ethics at the University of Oxford and a Visiting Research Fellowship at the Zentrum für Ethik und Philosophie in der Praxis. In the past, he was a Visiting Researcher at Google’s Responsible Innovation team. Ben received his PhD in Moral Philosophy from the University of Oxford. In his capacity as an ethics advisor and as a Senior Advisor at BABLAI, Ben has deep expertise in the whole suite of organizational ethics consulting, including AI ethics and digital ethics, corporate social and digital responsibility (CSR & CDR), and ethics and compliance.

We dive deep into the intricacies and ethical considerations of AI development, specifically focusing on OpenAI's Chat-GPT and GPT-4. Join us as we discuss how OpenAI approached the alignment problem, the impact of Human Aligned Reinforcement Learning, and the role of human raters in shaping Chat-GPT. We'll also revisit past AI mishaps like Microsoft's Tay and explore their influence on current AI models. The episode delves into OpenAI's efforts to address ethical concerns, the debate over universal human values in AI, and the diverse perspectives of users, developers, and society on AI technology. Lastly, we tackle the critical issue of employing workers from the global south for AI alignment, examining the ethical implications and the need for support. Tune in to uncover the complexities and breakthroughs in the evolving world of AI!

Dr. Joel Esposito. He is a Professor in the Robotics and Control Engineering Department at the Naval Academy. He teaches courses in Robotics, Unmanned Vehicles, Artificial Intelligence and Data Science. He is the recipient of the Naval Academy's Rauoff Award for Excellence in Engineering Education, and the 2015 Class of 1951 Faculty Research Excellence Award. He received both a Master of Science, and a Ph.D. from the University of Pennsylvania.

We demystify the technology behind Chat GPT and other generative AI like Google's Bard. Starting from the basics, we explore how Chat GPT functions as an app, generating near-human quality responses. We delve into the mechanics of Large Language Models (LLMs) and how they predict text. The episode also covers the massive scale of training data, computing time, and energy consumption involved in creating such models. We then transition into discussing the AI components, addressing complex issues like word embeddings, attention mechanisms, and the challenges of creating versatile, context-aware responses. Finally, we touch upon ethical considerations and the crucial role of Human Aligned Reinforcement Feedback in refining AI outputs, ensuring they are helpful, appropriate, and devoid of harmful content.

Dr. Joel Esposito is a Professor in the Robotics and Control Engineering Department at the Naval Academy. He teaches courses in Robotics, Unmanned Vehicles, Artificial Intelligence and Data Science. He is the recipient of the Naval Academy's Rauoff Award for Excellence in Engineering Education, and the 2015 Class of 1951 Faculty Research Excellence Award. He received both a Master of Science, and a Ph.D. from the University of Pennsylvania.