2025 IEEE International Conference on AI and Data Analytics
(ICAD 2025)
24 June 2025 - Tufts University School of Engineering Graduate Programs, Medford, Massachusetts USA
Keynote Speaker Mark Maybury: The Promise and Peril of Generative AI
Dr. Mark Maybury is the vice president, Commercialization, Engineering & Technology for Lockheed Martin, responsible for leading efforts to commercialize dual-use products and services across the corporation. Dr. Maybury’s prior roles include first chief technology officer for Stanley Black & Decker, Chief Scientist of the U.S. Air Force, Chief Technology and Chief Security Officer at MITRE and Director of the National Cybersecurity FFRDC. He serves on boards and advises Defense Science Board, LMEvolve, AstrisAI, Forward Edge ASIC, Internet Sciences, Halo.Energy, Nano surfaces, and the Advanced Cybersecurity Center. His past board service includes over 30 national studies, READY Robotics, Object Management Group, Air Force Scientific Advisory Board, Intelligence Science Board and Homeland Security S&T Advisory Committee. Dr. Maybury is a Fellow of both the Institute of Electrical and Electronics Engineers (IEEE) and the Association for the Advancement of Artificial Intelligence.
Topic: The Promise and Peril of Generative AI
Abstract:
Advances in Generative Artificial Intelligence (GAI) (Maybury 2023) promise to enhance productivity across engineering (Maybury 2022a) and manufacturing (Maybury 2022b, 2022c), the enterprise (Maybury 2022c) and at the edge. Transformational use cases now exist across nearly all aspects of life including learning, living, creating, manufacturing, selling, servicing and sustaining and are forecasted to add trillion dollars annually to globally economy (WEF). Exciting possibilities include innovative product creation, resilient supply chains, agile manufacturing, and personalized services. However, GAI suffers from being biased, brittle and baroque (Maybury forthcoming). To ensure full benefits, it is essential to mitigate the vulnerabilities of LLMs and ensure safety, privacy and security for all (Maybury 2021). This presentation will include video illustrations of examples of currently operational AI and generative AI in autonomous helicopters, firefighting intelligence, and space (Maybury, Forrest, and O’Donnell, forthcoming). We will share a collection of methods to enhance correctness, coherence, and clarity to counter LLM vulnerabilities. The presentation will close by pointing out AI future directions and conclude with a brief inspirational video including contributors from the greater Boston AI ecosystem.
References
- Maybury (2023). Generative AI Futures, Video.
- Maybury, M. (2022a). Extreme Innovation with AI. MIT Sloan. 8 March 2022
- Maybury, M. (2022b). Jobs and The Future of Work: Investing in Technology for Front Line Workers Benefits Everyone, 15 May 2022. World Economic Forum.
- Maybury, M. (2022c). Digital Mastery in the Future Workforce. NSF Podcast.
- Maybury, M. (2021). Trusted Artificial Intelligence at Scale, Three Grand Challenges for AI. AFRL. May 2021.
- Maybury, M., Forrest, G. and O’Donnell, D. forthcoming. A “Generative AI for engineering, enterprise and edge: The Astiris GenesisTM AI FactoryTM ,” IEEE International Conference on AI and Data Analytics, Boston, MA, 24 June 2025, to be submitted.
- Maybury, M. forthcoming “Mitigating biased, brittle and baroque generative AI,” IEEE International Conference on AI and Data Analytics, Boston, MA, 24 June 2025. to be submitted.
- Astris AI. 2025. “From the Battlefield to the Boardroom: Real-Time AI Decisions at the Edge,” Astris AI. https://astrisai.com/solutions/edge-intelligence.
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