Course Overview:

Duration: 30 min

Domain-Limited General Intelligence: Before Things Go Too Far

Artificial intelligence is accelerating faster than our safety practices, and the field is edging toward forms of generality that introduce unnecessary risk. This talk introduces Domain-Limited General Intelligence, a new conceptual tier that sits between narrow AI and the ambitions of AGI and ASI. DLGI offers a path to more capable systems that can generalize within defined boundaries while avoiding the instability that comes from unbounded intelligence.

Architectural Patterns for Building and Governing Production-Grade Multi-Agent Systems

Key takeaways include:

Attendees will learn what DLGI is, why it is fundamentally safer than the pursuit of broad general intelligence, and how it reframes today’s alignment challenges. The session will explore real examples of emergent behavior, misaligned optimization, and adversarial pressure, then show how DLGI provides a structure to contain these failures before they scale. This talk gives practitioners, leaders, and researchers a practical mental model for building powerful AI systems with control, predictability, and trust. The goal is simple: advance intelligence without letting things go too far.

Instructor:

David Campbell

Head of AI Security | Scale AI

David Campbell is Head of AI Security at Scale AI and a leading voice in operational AI risk. He pioneered one of the first large-scale AI red teaming platforms used across governments and enterprise organizations to probe and harden generative models against real-world threats.

David has briefed the U.S. Congress, the White House, U.K. Parliament, NATO, Korea AISI, UK AISI, and Qatar NCSA on AI security and national-scale resilience. He is a founding member of OWASP AIVSS and AIUC Consortium and contributes to CISA’s JCDC.AI collaborative exercises on AI-driven cyber threats.

With nearly twenty years in Silicon Valley, David previously helped shape engineering, security, and developer experience at Uber, DoorDash, and Nest Labs. His work consistently focuses on elevating standards, building resilient systems, and helping organizations adopt transformative technologies without compromising trust or safety. His mission: align technology with the future of the business and ensure AI systems can withstand the adversaries, accidents, and emergent behaviors of the real world.

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