Governments are rapidly adopting artificial intelligence (AI) to improve public services. However, this growth brings increased pressure to ensure transparency, accountability, and trust in automated systems. To address these concerns, the Hedera Foundation has partnered with Accenture and EQTY Lab. Together, they are building verifiable AI governance solutions for the public sector. The goal is to provide government organizations with secure and auditable AI tools anchored to Hedera’s decentralized infrastructure.
This partnership introduces a technical and policy-focused framework that supports AI oversight in high-stakes environments. Through this initiative, the partners aim to reduce the risk of untraceable AI behavior and to help public systems comply with regulatory requirements like the EU AI Act or emerging U.S. federal AI guidelines. Rather than relying on trust alone, these tools enable governments to verify every step of an AI system’s behavior.
We’re excited to introduce a new AI solution with @Accenture and @EQTYLab that will help governments and public sector organizations manage AI-driven decisions with transparency, auditability, and trust via the @Hedera network 🤝 pic.twitter.com/8475bOOHbD
— Hedera Foundation (@HederaFndn) June 11, 2025
Understanding Verifiable AI Governance: Why It Matters
AI systems often operate like black boxes. While they produce helpful results, users rarely see how they reached their conclusions. This lack of transparency creates major risks in public systems that impact citizens’ rights, benefits, and security. Verifiable AI governance aims to solve this by ensuring every AI process is observable, explainable, and traceable. These requirements are especially important for public-sector institutions that must comply with legal frameworks and maintain public trust.
EQTY Lab addresses these challenges using a technology called Verifiable Compute. This hardware-based system captures cryptographic proofs of what an AI model is doing, while it’s doing it. These proofs show that AI models were trained, executed, and managed according to policy and law. The addition of Hedera’s Consensus Service (HCS) ensures these events are recorded immutably and in real-time. As a result, administrators can track how every decision was made, detect unauthorized changes, and prove compliance.
How Hedera’s Network Enhances Verifiable AI Systems
The Hedera Hashgraph network plays a central role in enabling trustworthy AI governance. Its Hedera Consensus Service (HCS) provides fast, tamper-resistant event logging. Meanwhile, its Token Service (HTS) can manage permissions or attach accountability tokens to specific AI actions. Together, these tools offer an infrastructure designed for scalability, data integrity, and real-time auditing.
Unlike traditional databases, Hedera uses a distributed ledger based on the Hashgraph consensus algorithm. This structure supports high-throughput performance, with thousands of transactions per second and low fees. That makes it suitable for AI use cases involving continuous activity, like autonomous systems or policy-driven bots. The fact that Hedera is governed by a council of global organizations adds further assurance for public entities that require operational stability and neutrality.
Developed by @EQTYLab in collaboration with @nvidia & @intel, Verifiable Compute is the world's 1st hardware-based solution to audit & govern AI workflows leveraging Hedera Consensus Service to create an immutable ledger of AI computations for compatible NVIDIA GPUs & Intel CPUs. pic.twitter.com/rmAlIQjugx
— Hedera (@hedera) March 25, 2025
The Role of EQTY Lab: Verifying Compute at the Hardware Level
EQTY Lab brings a unique technical approach to the table. Their Verifiable Compute framework uses cryptographic attestation methods tied directly to hardware components. These include secure modules from Intel TDX and NVIDIA Hopper platforms. With this setup, every AI execution is recorded at the chip level and verified against approved configurations. It prevents unauthorized code, data, or model changes from operating in real environments.
These attestations are then broadcast to Hedera’s public ledger through the HCS. This setup creates a full audit trail of AI activity that is permanent, tamper-proof, and easily queryable. Verifiable Compute has already been piloted in projects like ClimateGPT, which tracks environmental LLM outputs using these same tools. Now, EQTY’s collaboration with Accenture and Hedera will extend that approach to core public services like digital identity, benefits administration, and infrastructure planning.
Accenture’s Influence in Banking and Artificial Intelligence
Accenture plays a major role in shaping the future of banking and AI across both private and public sectors. The company serves more than 90 of the top 100 global banks, offering consulting, integration, and digital transformation services that often include artificial intelligence and blockchain. Their global Banking division generated over $10 billion in revenue in 2024 alone, driven by financial institutions seeking scalable automation and AI-enabled risk models.
In artificial intelligence, Accenture maintains one of the most comprehensive AI practices in the world. It invests over $3 billion annually into data and AI initiatives, with more than 40,000 professionals dedicated to AI strategy, engineering, and implementation. Their AI centers—like the Brussels AI hub and AI Sovereignty Lab—provide tailored development environments that test everything from natural language models to agentic workflows. This deep institutional presence gives Accenture a unique perspective on scaling verifiable AI across regulated industries like finance, healthcare, and now public administration.
The Hedera Foundation: Fueling Public Network Innovation
The Hedera Foundation, previously known as the HBAR Foundation, serves as the ecosystem development arm of the Hedera public network. Its mission is to accelerate adoption of Hedera-based applications through grants, technical support, and infrastructure development. The foundation operates independently from the Hedera Governing Council but collaborates closely with it to support enterprise-grade use cases.
Hedera Foundation initiatives target sectors like decentralized finance (DeFi), real-world asset tokenization, sustainability, digital identity, and now—through this initiative—AI governance. In 2024, the foundation expanded its focus to include cryptographic verification, agentic systems, and DePIN (decentralized physical infrastructure networks), signaling a broader commitment to transparency in emerging technologies. By supporting partnerships like the one with Accenture and EQTY Lab, the foundation helps ensure that public sector innovations built on Hedera are not only fast and efficient—but also verifiable and compliant.
Accenture’s Blueprint for AI Oversight in Government
Accenture will lead the integration strategy that makes verifiable AI governance usable at scale. They will build blueprints that include deployment patterns, pricing models, and plug-ins for common government tools like ERP systems and cloud platforms. These guides will allow agencies to insert AI oversight modules without needing to rebuild their existing infrastructure.
Accenture also plans to create “playbooks” for public sector leaders. These documents will outline business logic for managing AI workflows responsibly. For example, a playbook might describe how to ensure that automated eligibility checks for benefits comply with human oversight laws. By combining EQTY’s runtime verifiability with Hedera’s real-time audit logs, Accenture can provide governments with clear pathways to implement AI safely and transparently.
Broader Implications for Blockchain and AI Convergence
This agreement highlights a growing trend: using blockchain infrastructure to solve AI trust issues. Many AI tools can function effectively, but they struggle with explainability and integrity in complex environments. Public ledgers offer a way to guarantee that decisions follow approved workflows and that changes are recorded permanently. This approach doesn’t just increase trust—it enables regulatory compliance.
As more governments experiment with generative AI and autonomous agents, the need for systems like this becomes urgent. Without visibility into how these systems make decisions, governments could face legal challenges, biased outcomes, or damaged public confidence. Solutions like this partnership provide a toolkit for tackling those risks before they escalate.
Building the Foundation for Public AI Accountability
This collaboration between Hedera Foundation, Accenture, and EQTY Lab marks a new stage in public AI governance. By combining attested compute, immutable blockchain logging, and strategic advisory, they’re offering a pathway for governments to adopt AI responsibly. With pilot programs and integration frameworks in progress, the initiative sets a precedent for how other jurisdictions might follow suit.
Public agencies can no longer rely on internal documentation or black-box vendors to govern AI. They need verifiable systems that operate in real-time, create transparent logs, and prove compliance across every layer—from hardware to cloud. This initiative provides the tools to do that, and it may define the architecture of public AI systems in the years ahead.
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