Humans, Observability, & AI: Building Teams That Learn Together
Date: September 30th | Time: 10 a.m. PT/ 1 p.m. ET
How to evolve AI’s role from tool to teammate
Despite rapid adoption of AI, many organizations treat AI as an individual productivity tool rather than a teammate, often leading to new, unexpected failure modes that can increase the scope and complexity of software incidents. Human oversight of AI often becomes a scapegoat when things go wrong, and AI implementations are not geared towards teams learning together and updating their context or mental models—a necessity in today’s complex, distributed software systems. This webinar will explore the challenges of integrating AI into observability and incident workflows, grounded in research from Resilience Engineering and The VOID.
Join us for a discussion about approaches to designing for AI as a learning partner embedded within teams, supporting continuous adaptation and the ability to introspect what the system is doing. We’ll provide concrete examples that highlight how AI can support human work, along with important aspects of process and governance that are necessary to build resilient, collaborative AI systems.
What You'll Learn:
- Research from other domains that can inform both the pitfalls of AI, and how to design better systems with those pitfalls in mind
- Common anti-patterns in current AI adoption
- How Joint Cognitive Systems improve AI effectiveness
- Practical methods for evolving AI’s role from tool to teammate to best ensure humans are kept in the loop
Speakers:
- Courtney Nash, Co-founder and Head of Research, The VOID
- Jessica Kerr, Engineering Manager of Developer Relations, Honeycomb
- Fred Hebert, Staff SRE, Honeycomb
Who Should Attend:
Developers, DevOps engineers, SREs, Incident Managers and Responders, AI tooling enthusiasts, and anyone incorporating AI into production systems.