Recent events from reinforcement learning algorithms beating humans in aerial dogfighting to  AI copiloting the U-2 demonstrate the growing role of AI in defense. However, continuing high-profile problems have demonstrated the need to rethink AI development and implementation, from focusing on algorithm capabilities to repositioning humans at the center of AI systems, augmenting rather than replacing humans, and providing applications that are reliable, safe, and trustworthy. 

While such human-centered AI (HCAI) principles have significantly improved AI systems at technology companies, governments, and defense policies, much remains to be done. At this session, attendees will gain a thorough understanding of the need for a human-centered approach to AI, practical implementation strategies, and an understanding of the benefits of HCAI.

Attendees will gain a thorough understanding of the current challenges in AI implementation across training, simulation, and education.

Attendees will have an introduction to the process of implementing HCAI, including:

• Responsible AI, which comprises aspects of explainability, fairness, and ethics
• Effective AI software interfaces, allowing for high levels of user autonomy and automation
• Guidance for effective human-machine teaming
• The benefits of HCAI implementation