Global AI On Tour - Seattle

Seattle now has its own Global AI Community chapter, and this is our first event: four talks at the GitHub office in Bellevue.

Doors open at 5pm with pizza and drinks. Talks start at 6pm.

Sessions (25 minutes each):

• Henk Boelman (Microsoft) - GitHub and Microsoft Foundry
• Mehrnoosh Sameki (Microsoft) - Responsible AI
• Chris Lloyd-Jones (Kyndryl / Microsoft MVP) - Green AI and the new software carbon specification
• Diana Wolfe, PhD (Kyndryl / Anthropic Ambassador) - Building AI-native organisations, an interactive session

Free to attend. Please register so we know how much pizza to order.

See you there.

Chris Lloyd-Jones and Diana Wolfe, co-leads of Global AI Seattle

From Intent to Enforcement: Open-Source Evaluation and Governance for AI Agents

AI agents are taking on increasingly complex tasks, but evaluation and governance are still often fragmented across disconnected tools and platform-specific controls. In this talk, we introduce two open-source tools that connect testing to runtime enforcement. ASSERT turns natural-language expectations about what an agent should and should not do into executable, scenario-specific evaluations. ACS (Agent Control Specification) carries those expectations into production as portable policies that can be enforced across key points in an agent’s execution. Together, they create a continuous governance loop: define intended behavior → test it → identify failures → turn findings into controls → enforce them at runtime → evaluate again. The result is a practical approach to governing agents across models, frameworks, and deployment environments without locking developers into a single platform.

by Mehrnoosh Sameki

Your New Teammates: Architecting a Multi-Agent Workforce

hamba.nl is a live Dutch travel magazine built with the GitHub Copilot App and run by seven Foundry-hosted agents, orchestrated with Agent Framework, covering the full editorial pipeline from draft to published article.

In this session I'll take you under the hood: how the agents are scoped and orchestrated, how they connect to tools and data through MCP, how content, moderation, and fact-checking roles hand off to each other, and how a human-in-the-loop stays in control of final approval. This is a working system with real failure modes, and you'll leave with a concrete reference architecture for agent teams that run a function, not just generate code.

by Henk Boelman

Green Software, and What That Means for AI

Green software is the practice of building systems that use less energy, run on cleaner electricity, and get more out of hardware already in the ground. There is a specification behind it, the Green Software Foundation's Software Carbon Intensity, which turns a vague sustainability goal into a number you can put on a dashboard and argue about.

AI breaks several of the assumptions that spec was written under. Training is bursty and enormous, inference is small and endless, and most of the emissions sit with a cloud provider you cannot instrument directly. In this session I'll cover what green software actually asks of an engineering team, where the AI work on SCI has got to, and what a team building on Foundry or GitHub can measure this quarter rather than after the next reporting cycle.

by Chris Lloyd-Jones

The Human Systems Architect: Designing Organizations That Are AI Native

Diana is an industrial-organizational psychologist who has spent her career on how people actually behave inside companies. She now builds a role that did not exist five years ago, the human systems architect: the person accountable for designing how humans and agents share the work, rather than leaving it to whoever adopted the tool first. This session covers what AI native means once you get past the tooling, which is mostly a question of how decisions, accountability and career paths get redrawn when agents take on real tasks. Diana draws on advising organizations through that change, including the parts that go badly: pilots that never leave the lab, roles nobody wants to own, and governance written to slow adoption down rather than make it safe.

by Diana Wolfe Ph.D