Focus Areas
Data Ownership & Human Knowledge
Consent, provenance, privacy, licensing, cultural knowledge and the value of human contributions to AI.
Compute & Access
GPUs, cloud infrastructure, AI data centres, semiconductor access and the resources required to participate in advanced AI.
Energy & Physical Infrastructure
Electricity, water, cooling, land, minerals and the physical resources supporting AI infrastructure.
Hardware & Supply Chains
Semiconductors, manufacturing, critical minerals, networks and the global systems supporting AI.
Models, Code & Intellectual Property
Model licensing, open systems, proprietary technology, training rights, code, creative works and intellectual property.
Websites, Platforms & Digital Systems
Ownership and control across websites, applications, operating systems, cloud platforms, APIs and enterprise systems.
Human Contribution & Value
Creative rights, attribution, compensation, community participation and the value created through human knowledge and labour.
Governance & Accountability
Transparency, procurement, security, auditability and responsible oversight of AI systems.
Who Will Attend
AI Engineers, Compute, Cloud & Infrastructure Teams
Builders developing models, applications and intelligent systems.
Government & Policy Leaders
Public sector leaders working across AI infrastructure, digital rights and technology policy.
Enterprise Leaders
Decision makers responsible for AI procurement, platforms, infrastructure and technology strategy.
Creators, Researchers & Knowledge Communities
People contributing research, creativity, cultural knowledge and intellectual property.
Investors & Founders
Leaders building and financing the companies and infrastructure behind AI.
Students, Emerging Innovators & Organizations
The next generation of builders, researchers, entrepreneurs and policymakers and organizations working across digital rights, technology access, economic opportunity and human development.
