IAA Talk – John Winder
Jul 23 @ 11:00 am – 12:00 pm

Title: Bridging the Human-Machine Information Gap for AI Fighter Pilots

Abstract: We discuss the research and development of an AI copilot that predicts human pilot decision making and offers time-critical recommendations to enable machine-precision decisions at machine speeds. The latest in a long line of innovation in AI for air combat at the Johns Hopkins University Applied Physics Laboratory (APL), this AI copilot is an autonomous agent that can function simultaneously as a situationally-aware peer, a cognitive support assistant, and a highly-performant fighter jet pilot. In addition, the AI agent can also serve as a loyal wingman, flying one or more uncrewed autonomous vehicles that can respond dynamically in real time to human commands. Achieving this behavior required innovating new forms of machine learning, including recurrent variational autoencoders for imitation learning, graph neural networks for coordinated behavioral prediction, and novel transformer architectures for dynamic multi-tasking and zero-shot generalization. These AI copilot and wingmen agents are integrated into a high-fidelity virtual reality cockpit that enables interactive demonstrations and experimentation of human-machine teaming scenarios.

Bio: Dr. John Winder is a computer scientist and supervisor of the Advanced AI Algorithms section at the Johns Hopkins University Applied Physics Laboratory (APL). At APL, he leads a team researching AI and machine learning for complex, real-world systems. His recent work encompasses multi-agent reinforcement learning (RL) for cooperative-competitive environments, multi-task knowledge transfer, and human-machine teaming. John joined APL in 2020 after receiving his PhD from UMBC, where his doctoral work focused on hierarchical RL for abstract decision making and concept formation to increase generalization and create more adaptable agent-based AI.

Zoom: https://jhuapl.zoomgov.com/j/1602659447?pwd=wuDPqeecjPYRwvbUbwUAKPIpT3HmZk.1
Meeting ID: 160 265 9447
Passcode: 241294

AI Ethics and Governance Symposium @ Johns Hopkins University Bloomberg Center
Oct 7 @ 8:45 am – 6:00 pm

The Johns Hopkins AI Ethics and Governance Symposium will bridge parallel, siloed conversations across disciplines and domains. We will bring together experts in AI, AI ethics, safety, assurance, and algorithmic fairness to synthesize and map an approach to shared and domain-specific issues in AI ethics and governance, in four key areas: Defense and Security; Biomedicine and Healthcare; Transportation; and Democracy. Bringing together diverse science, humanities, and engineering scholars, technologists, and policymakers, the Symposium will explore issues across the spectrum of AI innovation, from foundational computer science and engineering to large language models and autonomous machines. 

Details: https://bioethics.jhu.edu/research-and-outreach/projects/ai-ethics-symposium/

The 3rd International Conference on Assured Autonomy (ICAA’24) @ Vanderbilt University, Nashville, TN
Oct 10 – Oct 11 all-day

The 3rd International Conference on Assured Autonomy will take place at Vanderbilt University, Nashville, TN on October 10-11, 2024.

Important Dates

  • Paper submission deadline: 6/30/2024 (Anywhere on Earth)
  • Acceptance notification: 7/26/2024
  • Publication-ready Papers Due: 8/12/2024

Additional Details: https://iaa.jhu.edu/icaa-2024/