NSI Symposium

Artificial intelligence is transforming the way government, industry, and academia approach mission delivery, innovation, and risk. As AI capabilities accelerate, so must the governance structures that guide their responsible use.​

This two-day symposium convenes senior leaders from across sectors to explore the foundations of trustworthy, resilient AI governance. Drawing from a strategic framework built around organizational readiness, infrastructure and data, oversight and assurance, and adaptability and growth, participants will examine how governance can serve not as a constraint — but as an enabler of safe, ethical, and mission-aligned AI adoption.​

Through interactive sessions, real-world examples, and shared insights, the symposium aims to foster a community of practice committed to advancing governance at the speed of change.

Event details

Date: September 3, 2025

Time: 0800 – 1600

Format: This is an interactive in-person event. Day 1 will be conducted in plenary with participation from all attendees using fishbowl panels, Mentimeter, and Miro to gather feedback and insights throughout. Sessions will highlight thought leaders on each topic who will engage the audience in discussion and exploration.

Date: September 4, 2025

Time: 0800 – 1200​

Format: This is an interactive in-person event. Day 2 is a half day of working sessions, where government and industry participants will each focus on different aspects of governance. The event will close with a collaborative group discussion. ​

Location:  Academic Building One | 3625 Potomac Ave. | Alexandria, VA

Registration check-in and breakfast will be from 0700 - 0800 on Day 1 of the event. Breakfast and lunch will be provided both days.

objectives

• Articulate the core pillars of effective AI governance and why they matter now​

• Assess your organization’s current state of AI readiness across leadership, workforce, infrastructure, and oversight​

• Identify practical strategies, frameworks, and tools to support responsible AI development and deployment​

• Engage in peer exchange across government, industry, and academia to share lessons learned and emerging practices​

• Shape actionable next steps for advancing AI governance within your own mission and organization​

Participants