Booz Allen Hamilton Colloquium: Reza Ghanadan, Senior Manager, Google Cloud AI
Friday, November 13, 2020
3:30 p.m.-4:30 p.m.
301 405 4471
Senior Manager, Google Research AI
Title: Assuring AI for Real-World Applications with Robust AI System Design
Abstract: AI is a powerful technology that is getting increasingly more complex. It will influence all aspects of human society, from how we work, how we commute, how we learn, and even how we think. It is also creating exciting new opportunities for transformational applications to improve the lives of people around the world, from business to healthcare to education. With such a powerful technology, it brings responsibility for safety, security, privacy and reliability.
For example, there is a shift underway in how software is being built for increasingly more real-world applications, moving from the traditional logic-based programming approach to data-driven machine-learning and inference codes. This change is opening up exciting new possibilities but it is also posing new challenges for reliable operation of engineering systems at production, including safety, fairness, privacy, and security.
As such, the development of AI and its applications is raising new questions about effective methods to better characterize and mitigate their vulnerabilities. In particular, what is the best way to develop methods to design more robust AI products that can take into account safety and security built into these systems. We highlight examples of these vulnerabilities and challenges. We also develop an analytical framework to better characterize the impact of these vulnerabilities across the AI stack, and introduce several approaches in improving the robustness of AI and machine learning systems for real-world applications.
Bio: Dr. Reza Ghanadan is a senior manager at Google Research leading AI research in machine perception and strategic technology programs. He has led a number of initiatives at Google to help advance AI research and its robust applications in a number of industries. His current research focus is creating robust, fair and reliable AI systems for real-world applications. Reza’s career started at AT&T Bell Laboratories and has since held several executive management and technical leadership positions in high-tech research organizations. At DARPA, Reza led the creation of several transformational technologies successfully demonstrating foundational applications of AI in a range of complex multidisciplinary scientific domains including autonomy, healthcare, social-cognitive science, material science, neuroscience and life sciences. Reza was a technical fellow at Boeing Research, an engineering fellow and technical director at BAE Systems, and a founding team member of Flarion Technologies which was later acquired by Qualcomm. Dr. Ghanadan has been awarded 18 patents and holds a Ph.D. in EE from UMD, and an Executive MBA from NYU.