Systems
A set of systems that explore, test, and apply artificial intelligence in real-world
contexts
Each system operates independently while contributing to a broader institutional framework.
A systems approach
AICOE is not organized around initiatives or offerings. It is structured as systems that:
Simulate
Decisions
Develop
Applied Capabilities
Engage
The public
Integrate
With real-world environments
Core systems
civic decision lab
Simulating decisions before they shape the city
AI Labs
Developing applied systems across domains
City systems
Integrating AI into civic infrastructure
How systems interact
Simulations inform lab development.
Lab outputs feed into real-world systems.
Engagements introduce new variables.
Public experiences extend understanding.
System
inputs
Partnerships engagements
Institutional collaborations
Real-world challenges
Emerging technologies
System
outputs
Simulations and frameworks
Applied AI systems
Institutional briefings
Experiences
Evolution
AICOE systems are designed to evolve. The structure is fixed. The work is not.
AICOE Operates as an evolving system of systems
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Institution
Systems
Experiences
Partnerships
Access
NEWS
CONTACT
CAREERS
NEWS
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