AI

Laws and policies are running behind.

Existing regulations were built for centralized AI systems; are unable to handle autonomous agents making independent decisions; and don’t understand blockchain-based AI infrastructure. Current liability frameworks crumble when responsibility is distributed across networks. And traditional safety measures fall short with open-source models running locally.

The future of AI demands new rules. We're making it happen.

DCGG is the leading government affairs partner for organizations pioneering the next generation of AI: autonomous agents, open source systems, decentralized architectures, and blockchain-based infrastructure. We don't just navigate policy, we shape it.

Goals

Shape regulatory frameworks that promote and support the commercial deployment and market integration of agentic, open source, and decentralized AI systems

Champion decentralized, open source, and agentic AI as accelerators of innovation and competitiveness, drivers of broader access to AI capabilities, and pathways to responsible AI development

Showcase how distributed governance and autonomous agents enhance trustworthiness, privacy protection, transparency, and accountability in AI systems

Services

Policy Analysis and Regulatory Monitoring

Conduct in-depth policy analysis and comprehensive stakeholder mapping of key regulatory actors, policymakers, and influential voices relevant to our members’ go to market initiatives, identifying opportunities and potential challenges in the regulatory environment. This policy analysis includes regulatory impact assessments on how proposed regulations affect decentralized and agentic AI innovation and deployment.

Deliver weekly regulatory and policy intelligence briefings, providing timely analysis of emerging developments, regulatory shifts, and policy trends that directly impact our members’ strategic business objectives.

Policy Advocacy

Advocate for favorable regulatory approaches and policy frameworks that support our members’ development and deployment of autonomous and decentralized AI systems.

Engage directly with influential policymakers and lawmakers, regulatory authorities, and government agencies through targeted outreach, representing members in policy events and meetings, publishing and disseminating policy briefs and whitepapers, and organizing industry conferences and stakeholder meetings to advance our advocacy objectives.

Bespoke Support

Provide specific services tailored to our members’ needs and interests. Examples include:

Legal Compliance: Offer guidance on AI-related compliance / enforcement issues, not only regarding the implementation of the EU AI Act but also on issues at the intersection of AI and data protection, intellectual property, cybersecurity and liability. This service involves providing guidance on specific AI applications, developing compliance frameworks for AI systems, and offering training on AI-related legal issues.

Geopolitical Advice: Provide insights on the geopolitical implications of AI, including AI value chain matters, AI sovereignty, and competition. This service involves analyzing the impact of AI on global power dynamics, assessing the risks of AI-driven market tensions, and promoting international cooperation on AI governance. Specific areas of focus include the impact of AI on global trade, international security, and the competition for AI talent.

Regulatory Sandboxes Assistance: Guide members’ participation in AI regulatory sandboxes, providing support in experimentation and compliance. This involves helping members understand the requirements for participating in sandboxes, providing guidance on developing and testing AI systems in a controlled environment, and assisting with regulatory reporting.

Campaigns and Partnerships: Help clients launch external policy campaigns to promote responsible AI development and adoption. These campaigns could focus on educating policymakers on specific company’s Responsible AI practices and ethical AI principles, and/or advocating for specific policy solutions. For example, a campaign could target policymakers and the public to raise awareness about the importance of decentralized AI systems to improve responsible AI practices.