Artificial Intelligence & Quantum (AIQ)
Artificial intelligence (AI) and quantum technologies are reshaping every sector of the global economy. We advocate for responsible policies that encourage innovation, safeguard consumers, strengthen national security, promote economic growth, and build public trust.
Together, AI and quantum technologies represent foundational shifts in how information is processed, secured, and deployed across society. Yet U.S. governance frameworks are still evolving to keep pace with these rapidly advancing technologies. Policymakers face a dual challenge: fostering innovation and maintaining U.S. competitiveness while managing emerging risks.
Through regulatory engagement, legislative advocacy, and technical education, we convene industry and policymakers to advance responsible AI and quantum governance that supports innovation, consumer protection, and long-term economic resilience.
The Policy Issues
The rules shaping digital assets, AI, and emerging technologies are being written right now. These are the issues where clear policy can unlock innovation, strengthen trust, and keep America competitive.
Transparency, Accountability, and Civil Rights
As AI systems increasingly influence decisions in areas such as employment, finance, healthcare, and public services, governance frameworks must evolve alongside the technology. We advocate for policies that promote transparency, accountability, and fairness while protecting civil liberties, privacy, and intellectual property. We also support practical approaches to reducing algorithmic bias and preventing the misuse of AI in ways that undermine trust or harm individuals and communities.
Innovation, Economic Participation, and Competitiveness
AI has the potential to drive economic growth and transform industries, but its benefits should be broadly accessible. We advocate for policies that encourage innovation, support competitive markets, and enable businesses of all sizes to participate in the AI economy. We also engage on emerging issues, including agentic AI and autonomous commerce, as these systems raise new questions around liability, authorization, and market accountability that require thoughtful policy development.
Security, Resilience, and National Defense
AI is reshaping cybersecurity, critical infrastructure, and national security, creating both new opportunities and new risks. We advocate for policies that strengthen infrastructure resilience, advance content integrity in an era of synthetic media, and support threat attribution frameworks for increasingly sophisticated attacks. We also address the dual-use reality of AI-enabled and agentic cybersecurity, where the same capabilities powering next-generation defenses can also be used against the systems and infrastructure they are designed to protect. In addition, we support model forensics standards that trace AI behavior, establish model provenance, and build the evidentiary foundation needed when AI systems are implicated in security incidents.
Quantum Computing
Quantum computing is advancing rapidly on two fronts: it threatens to render today’s encryption standards obsolete, and it is unlocking new capabilities in materials discovery, financial modeling, and national defense. We work with federal agencies and industry stakeholders to advance post-quantum cryptography transition frameworks and identify and prioritize critical infrastructure vulnerabilities, ensuring U.S. policy keeps pace with a threat timeline that won’t wait for regulatory consensus. At the same time, we advocate for governance frameworks that reflect quantum’s unique capabilities and risks, and support policy that lets industry lead in quantum applications before standards are set without adequate private-sector input.
Recent Updates
Our Impact
We work to highlight AI’s transformative potential for public and legislative audiences while building the governance guardrails that make broad adoption possible.
Advancing Responsible AI Policy Through Industry Engagement
We engage with policymakers and standards bodies to help shape AI governance frameworks that support innovation, accountability, and responsible deployment. In response to the House AI Task Force Report published in December 2024, we highlighted the importance of decentralized and open-source AI models and advocated for policy approaches that recognize their potential to expand access, democratize participation, capture economic value, and address emerging risks.
Shaping Standards for Secure AI Agents
We brought together TDC’s members with expertise in agent programming, cybersecurity, and financial systems to provide recommendations to the National Institute of Standards and Technology (NIST) on security considerations for AI agents. Through this engagement, we contributed industry perspectives on developing practical approaches for identifying, containing, and managing risks associated with increasingly autonomous AI systems.