The rapid evolution of Artificial Intelligence (AI) has heralded a new era of innovation, transforming industries and redefining possibilities. However, this momentum raises a crucial question: How do we foster groundbreaking advancements while ensuring safety, trustworthiness, and ethical governance? In this seminar, we delve into this dual imperative, drawing on over four decades of experience at the nexus of AI research, fuzzy logic, and responsible innovation.
Dr. Kelly Cohen, an esteemed leader in Aerospace and Biomedical Engineering and President of the North American Fuzzy Information Processing Society (NAFIPS), will explore how frameworks like Explainable AI (XAI) and genetic fuzzy logic provide pathways to balance these priorities. Drawing from his pioneering work with autonomous systems, advanced air mobility, and predictive modeling in medicine, Dr. Cohen will outline strategies for embedding transparency and accountability into AI systems without stifling innovation. Key case studies, ranging from uncrewed aerial vehicle optimization to personalized biomedical applications, will illustrate the practical implementation of these principles.
The talk will also address regulatory challenges and opportunities, highlighting collaboration between academia, industry, and policymakers to create adaptive guardrails that accommodate evolving technological landscapes. By leveraging soft computing and ethical AI paradigms, Dr. Cohen argues for a future where AI systems not only push the boundaries of what is possible but do so in ways that align with societal values and safety requirements.
Whether you are a student, staff, faculty, researcher, policymaker, or industry leader, interested in AI, this talk at UC 2025 AI Symposium provide actionable insights into how we can navigate the complex terrain of fostering progress while building trust and safeguarding humanity.