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Dr. Douglas C. Schmidt Inaugural Dean of the School of Computing, Data Sciences & Physics at William & Mary Keynote Title: |
Time & Venue
Abstract
Generative AI models provide both opportunities and challenges to software/systems and AI engineering. I concentrate on two integral domains: AI-augmented software development and the engineering of AI-enabled systems. Throughout my talk, I explore the potential of generative AI tools in aiding various software/systems lifecycle development stages, ranging from requirements gathering to architecture, design, programming, and testing. A particularly promising area is 'prompt patterns" for prompt engineering, which provide valuable knowledge transfer methods for interacting with generative AI models. I also discuss the distinct challenges posed by AI-augmented systems, include the need for AI traceability and addressing emergent behaviors in mission- and safety-critical systems.
Biography