Generative Artificial Intelligence for Industrial Applications

Generative Artificial Intelligence (AI) transforms how we live and work through numerous practical applications of intelligence, insights, and decision-making. These generative intelligence capabilities have expanded into industrial applications and systems, leading to many opportunities for innovation in research, development, practice, training, and education. For instance, in energy systems, Generative AI can inform decisions on renewables integration, energy conservation measures, energy optimization, and predictive maintenance. At the same time, across the board in robotics, it contributes to trajectory planning, state estimation, adaptive vision, and human interaction. In parallel to these rapid technical innovations, the risks of AI are also growing. AI that is poorly designed, developed, and evaluated without consideration of the broader socio-technical landscape of operation can result in system failures, service disruptions, security violations, and even human casualties. Some experts have also escalated this to a risk of extinction from AI that should be a global priority alongside other societal-scale risks such as pandemics and nuclear war. The seminar introduces Generative AI, its composition, capabilities, and distinction from conventional AI, followed by its opportunities and challenges in industrial domains. Risks and ethics of AI alongside globally accepted guidelines for responsible practice and development of AI will also be discussed.
Co-sponsored by: Prof. Aleksander Malinowski
Speaker(s): Dr. Daswin De Silva
Agenda:
2:30 to 3:00 PM: Networking
3:00 to 4:00 PM: Seminar
4:00 to 4:15 PM: After-Event Socializing
Room: 1150/1160, Bldg: Business and Engineering Convergence Center, Bradley University, 1500 W Main St, Peoria, Illinois, United States, 61615, Virtual: https://events.vtools.ieee.org/m/438667