
Steven Swanson
Cofounder & CXO at VERSES, pioneering distributed intelligence
Los Angeles, California
Joined August 2025
Network
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Summary
Steven Swanson is a pioneering figure in the development and application of Active Inference, a cutting-edge approach to artificial intelligence. As Cofounder and Chief Experience Officer at VERSES, he is actively involved in creating distributed intelligent software systems and contributing to research, including co-authoring a patent and academic papers on active inference and its application in AI. verses+3
With a background spanning over two decades, Steven has extensive experience as a creative technologist. His career journey includes significant contributions to visual effects in Hollywood, virtual and augmented reality development, and web interface design, culminating in his current focus on the spatial web and distributed intelligence. imdb+2
Steven is a strong advocate for open standards and ethical development in emerging technologies. He serves as a Founding Governing Board Member of Open AR Cloud, dedicated to fostering interoperability and responsible growth of the spatial web. His involvement with the IEEE's Ethics Certification Program for Autonomous and Intelligent Systems further underscores his commitment to ethical AI. openarcloud+2
Prior to his work in AI and the spatial web, Steven had a distinguished career in the visual effects industry. As Co-Owner and VFX Supervising Producer at Luma Pictures, he played a key role in the production of visual effects for numerous blockbuster films, demonstrating expertise in production management and immersive technologies. He also contributed to VR platforms at Lytro as Executive Director of Content Partnerships. imdb+2
Work
Education
Writing
Designing ecosystems of intelligence from first principles
January 1, 2024Paper co-authored by Steven Swanson, exploring the design of intelligent ecosystems based on active inference.
Method and system for specifying an active inference-based agent using natural language
Patent for a method and system to specify an active inference-based agent using natural language.
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