​We are an industry association advancing enterprise-grade adoption of Proof-of-Control AI solutions that ensure verifiable trust between agents, humans, and infrastructure.

Advanced AI Society

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The Advanced AI Society brings together enterprises, hyperscalers, cryptography builders, standards bodies, and policymakers to align around one goal:

Make Proof-of-Control possible, interoperable, and adoptable by enterprise.

  • Proof-of-Control is a new category of enterprise-grade technologies that make privacy, portability, and verifiability provable across AI systems, agents, and infrastructure.

  • 1. PRIVACY

    AI must operate without leaking or exploiting sensitive information. Cryptographically sealed execution and verifiable data boundaries protect customers, institutions, and regulated environments.

  • 2. PORTABILITY

    Power concentrates when workloads cannot move. Proof-of-Control makes data, models, and agents portable across infrastructures while preserving security, compliance, and cost predictability. It protects enterprise continuity and market competitiveness.

  • 3. VERIFIABILITY

    In a world of autonomous systems, you must be able to prove who acted, what happened, and why. Verifiability turns AI from an opaque risk surface into something auditable by boards, regulators, and security teams.

  • These three foundations are the minimum conditions for an AI economy that produces resilience, accountability, and shared prosperity.

Why now?

If privacy fails, people lose agency.

If portability fails, markets lose competition.

If verifiability fails, institutions lose legitimacy.

When these foundations collapse, AI becomes impossible to govern — no matter how well-intentioned the systems are.

But when we get these foundations right, the AI economy expands with shared prosperity.

Our purpose is to ensure everyone has access to an AI stack that preserves autonomy. 

Our Members

Upcoming events

  • Interoperable Agent Registry Standard Project at MIT

    July 14-15, MIT Media Labs

    The Advanced AI Society (formerly Decentralized AI Society) and MIT Media Lab’s Project NANDA (led by Prof. Ramesh Raskar) have joined efforts to create a Web3 Quilt— an interoperable layer that connects AI-agent registries across Web3 and Web2, preventing the creation of isolated silos and ensuring the future Internet of AI Agents remains open and collaborative. 

  • Data Center Day at MIT ILP

    Sept. 30, 2025

    The MIT Industrial Liaison Program invited us to present to their data center conference about Proof-of-Control solutions for data centers.

    In our presentation, “An AI Portfolio Approach to Computing Infra: Better, Faster, Cheaper in a world of billions of agents, IoT, and humans,” we featured our enterprise-ready members’ solutions for edge scale use cases. We showcased how our members provide cryptographically verifiable sovereignty and more rapid and faster deployment,=.

  • Patchwork: Syncing on AI Standards

    On Dec. 10, 2025, we will host an online convening of leading protocols/standards of the AI stack.

    For the first time, speakers from leading specification efforts will present and work through gaps together, including ERC-8004, FPP, HCS-14, MCP, A2A, x402, AGNTCY, Trust Over IP, ANS, MIT’s NANDA, NEAR, and others.

    If you’re building anything that depends on interoperability — enterprise implementation or governance, identity, registries, payments, routing, trust frameworks, or agent infrastructure — this is a room you should be in.