by Editor BGF | Mar 1, 2026 | News, Shaping Futures
The AI references in the State of the Union underscore a practical truth: AI is becoming infrastructure for all infrastructure—tied to data centers, electricity, supply chains, and the ability to deploy capabilities at national scale. This focus is realistic. To lead in the AI Age, a country must build AI infrastructure: compute, power, networks, data capacity, and talent—because these determine speed, innovation, and competitiveness.
But speed alone is not enough. As AI increasingly shapes economies, societies, security, and public confidence, we must build a second pillar alongside physical infrastructure: trust infrastructure, anchored in Trust Infrastructure Laws. This is central to the AI World Society (AIWS) framework: creating standards and verification mechanisms so AI can be deployed as fast and as effectively as possible, while remaining safe, transparent, accountable, and grounded in human dignity.
The key lesson is not to choose one over the other. We need both “Infrastructure Pledges” and “Trust Infrastructure Laws.”
- “Infrastructure pledges” can mobilize investment, accelerate deployment, and expand capability.
- “Trust infrastructure laws” provide the guardrails that protect citizens’ rights, reduce systemic risk, and preserve democratic legitimacy.
Under the AIWS principle, the optimal balance is: open, enabling conditions that build the foundation for the fastest and most effective AI applications—guided by humanity’s highest values. That requires governance that accelerates innovation while ensuring accountability: transparent scope of deployment, auditability and traceability, risk evaluations and incident reporting, privacy and data protections, and independent oversight for high-stakes uses.
In the AI Age, national strength will be measured by two capabilities: the ability to build infrastructure that accelerates progress, and the ability to build trust infrastructure that protects values. When both pillars stand together, AI can truly become a force for prosperity, peace, and human-centered development.
by Editor BGF | Mar 1, 2026 | Shinzo Abe Initiative for Peace and Security, News
Boston Global Forum (BGF) congratulates Yasuhide Nakayama, BGF’s Representative in Japan, on his re-election to Japan’s House of Representatives on February 8, returning to the Diet via the Kinki proportional representation block.
Mr. Nakayama’s re-election comes at a pivotal moment for Japan as it navigates a rapidly changing geopolitical and technological landscape. The Kinki PR block—covering the Kansai region—remains one of Japan’s most influential electoral blocs, and Mr. Nakayama’s return reinforces the presence of experienced national-security and foreign-policy leadership in the Diet.
BGF also recognizes Mr. Nakayama’s continuing role as BGF Representative in Japan, reflecting his long-standing engagement in international cooperation and democratic partnerships.
Following the election, BGF notes that Mr. Nakayama has taken on an expanded leadership portfolio within the Liberal Democratic Party (LDP) as Director of the Global South—a strategic arena that will be increasingly decisive in the AI Age. As competition and cooperation over AI standards, digital infrastructure, trusted supply chains, and human-centered governance intensify, Japan’s relationships with developing nations will help shape whether the next global technological order is grounded in openness, trust, and shared prosperity.
In BGF’s view, this Global South portfolio positions Mr. Nakayama to help shape a new phase of Japanese diplomacy—one that treats the Global South not as a peripheral priority, but as a central partner in building trusted AI ecosystems, education and skills cooperation, resilient cyber and digital infrastructure, and inclusive economic development.
by Editor BGF | Mar 1, 2026 | News
In the AI age, national power is no longer determined only by military strength or traditional economic capacity. It increasingly depends on technological capability—especially advanced AI models, data, compute, and the ability to deploy systems at scale. This shift raises a foundational question: who ultimately decides how AI is used in matters of national destiny—governments or private companies? This question is central to the themes of “America at 250: A Beacon for the AI Age”—and to the future of democratic leadership in an era when AI becomes “infrastructure for all infrastructure.”
In practice, governments cannot move as fast as private firms in frontier AI innovation. Companies excel at attracting talent, iterating quickly, raising capital, and deploying products at global scale. For that reason, allowing private companies the freedom to innovate is essential. Excessive control can slow down national competitiveness and prevent breakthroughs that benefit society.
Yet freedom to innovate cannot mean that private actors gain private sovereignty over decisions that affect national defense and security. If companies hold strategic AI capabilities and operate with full autonomy—without structured cooperation with the state—then these companies become a powerful force that can shape a nation’s security posture without democratic accountability. The risk is not only technological. It is institutional: loss of coordination, unclear responsibility, reduced transparency, and weakened legitimacy—especially in crisis situations when national security requires reliable, timely cooperation.
The solution is not to replace private innovation with state control, nor to allow corporate autonomy to override public authority. What is needed is a modern partnership model: companies lead innovation, while governments retain sovereign decision-making in defense and high-stakes national security matters—supported by clear trust mechanisms that enable cooperation. This is precisely the kind of “architect role” democratic nations must embrace at America’s 250th: not only building capability, but also building the governance and trust structures that keep capability aligned with constitutional values.
This requires a practical framework: a public–private AI compact, minimum trust clauses in government contracts (scope limits, auditability, incident reporting, and enforceable remedies), independent oversight where feasible, and a firm principle of human-in-command for high-consequence decisions. In other words, governments should not “outsource” sovereign responsibility—and companies should not stand apart from the state when AI becomes infrastructure for national security.
In the AI era, a strong nation is one that combines the speed and creativity of the private sector with the legitimacy and accountability of democratic governance—ensuring that AI advances peace, prosperity, and sustainable security.
by Editor BGF | Mar 1, 2026 | Global Alliance for Digital Governance
The recent dispute between Anthropic and the U.S. defense establishment—described in public reporting as the “Department of War”—is a defining governance stress test for the AI age. In a public statement, Anthropic CEO Dario Amodei argued it is existentially important for democracies to use AI for defense, while drawing two explicit “red lines” he said should not appear in contracts: mass domestic surveillance and fully autonomous weapons. Anthropic framed these limits as essential to protect civil liberties and to ensure that lethal decision-making remains under meaningful human control.
At the level of democratic principle, the statement is significant. Frontier AI is increasingly “infrastructure for all infrastructure” in national security—supporting intelligence analysis, modeling and simulation, operational planning, and cyber operations. In such environments, the line between legitimate defense and rights-eroding surveillance can blur quickly. Anthropic’s position—no mass domestic surveillance and no fully autonomous weapons—seeks to define a minimal democratic boundary: defending a country must not become a pathway to undermining the constitutional values it claims to protect.
Yet even if one agrees with these red lines, the episode exposes a structural problem: if guardrails are negotiated vendor-by-vendor, democracies will drift into fragmentation. Governments can “shop” for the least restrictive provider, or companies can be punished for insisting on safeguards—producing inconsistent standards and a race to the bottom. This is not a sustainable model for democratic governance of AI in defense.
Reuters reporting indicates President Trump directed federal agencies to stop using Anthropic’s technology, with a transition period for embedded defense use—illustrating how quickly a policy clash can become an operational shock when AI is deeply integrated into government systems. Whether one sides with the vendor or the government, the practical lesson is the same: without shared rules, national security AI becomes vulnerable to political whiplash and procurement instability.
From a BGF–AIWS Family lens, the core takeaway is that democracies should not allow the “operational constitution” of defense AI to be defined through ad hoc commercial contracts. National security and defense are matters of sovereign authority and democratic accountability. Private AI vendors may innovate and supply capabilities, but they must not hold veto power over defense policy or become a parallel authority above the state. What is needed is government-level Trust Infrastructure: a common baseline of enforceable clauses that applies to all vendors and all deployments—ensuring consistency, accountability, and democratic legitimacy.
Five minimum trust clauses (aligned with the AIWS Trust Infrastructure approach):
- No mass domestic surveillance; clear boundaries for domestic data and independent oversight.
- No fully autonomous weapons; mandatory human-in-command for lethal decisions.
- Mandatory auditability and logging; traceability for accountability and investigations.
- Incident reporting and emergency shutdown; defined response playbooks and post-incident review.
- Scope limits and anti–scope creep; any expansion requires formal approval and oversight.
In conclusion, Anthropic’s statement is valuable because it articulates democratic red lines in a high-stakes domain. But to prevent recurring conflict and fragmentation, democracies must move beyond vendor-by-vendor negotiations and establish shared Trust Infrastructure standards—so AI can strengthen security without eroding the values security exists to defend.
by Editor BGF | Feb 21, 2026 | News
A measurable, auditable scorecard system—and an annual index—to strengthen safety, transparency, and accountability in the AI Age
BOSTON, MA — Boston Global Forum (BGF) today announced the launch of the AIWS Trust Rating, the flagship public-facing assessment tool within the broader AIWS Trust Infrastructure, and introduced the AIWS Trust Index, a periodic benchmarking publication that will track trust, safety, and governance readiness across sectors and jurisdictions in the AI Age.
The AIWS Trust Rating is a measurable, auditable rating system designed to help governments, health systems, companies, and democratic partners evaluate and improve trust in AI—with clear standards for safety, transparency, fairness, privacy, and incident readiness. The AIWS Trust Index will aggregate results and benchmarks over time, enabling year-to-year comparison and highlighting best practices, leadership examples, and priority gaps.
As artificial intelligence becomes “infrastructure for all infrastructure”—embedded across public services, healthcare, finance, education, and information ecosystems—BGF emphasized that trust must be built through verifiable mechanisms, not promises. The AIWS Trust Infrastructure translates democratic values into practical standards that can be measured, compared, and improved.
“AI will shape social trust, human security, and prosperity for decades to come,” said Nguyen Anh Tuan, Co-Founder, Co-Chair, and CEO of Boston Global Forum. “Democracies need common standards that are measurable, comparable, and actionable. AIWS Trust Rating provides a practical foundation for trustworthy AI, and the AIWS Trust Index will help the world track progress, compare performance, and learn from what works.”
A Scorecard Designed for Real-World Use
The AIWS Trust Rating is designed for decision-makers, procurement teams, regulators, and deployment leaders. It supports both technical verification and governance readiness, producing scores that can guide safe adoption and continuous improvement.
The rating framework evaluates AI across three layers:
- Core Trust & Safety (mandatory):
Safety & accountability, model transparency, bias and fairness auditing, privacy and data protection, and incident response readiness.
- Deployment Readiness:
Governance and oversight, evaluation and monitoring, workforce training, and procurement/vendor controls.
- Outcomes & Social Impact:
Real-world performance, equitable access, and impact on public trust and information integrity.
Ratings can be reported on a 0–100 scale and translated into A–F grades, with “red flag” indicators for unacceptable risks and a roadmap of recommended actions to improve performance.
The AIWS Trust Index: Tracking Progress and Leadership
The AIWS Trust Index will provide periodic benchmarking of trust readiness in the AI Age, including:
- comparative snapshots across sectors (e.g., healthcare, public services) and participating institutions,
- trend analysis over time to measure improvement and risk reduction,
- identification of best practices and replicable governance models, and
- public reporting that strengthens transparency and accountability.
BGF indicated that the index will be released alongside AIWS Trust Reports, with clear methodology disclosures and expert review.
Priority Applications: Government and Healthcare
BGF stated that early implementations will focus on domains where stakes are highest, including:
- Public services and government systems, to strengthen accountable, evidence-based administration in the AI Age; and
- Healthcare, where AI can save lives but must meet rigorous standards of evidence, safety, and patient trust.
The AIWS Trust Infrastructure also supports “trust dashboards” that enable ongoing monitoring—helping institutions detect drift, track incidents, and validate outcomes after deployment.
Supporting Democratic Coordination and Trusted Markets
BGF highlighted that the AIWS Trust Infrastructure is designed to support coordination across democratic allies by creating a shared language for evaluation, governance, and procurement. By aligning standards and verification methods, allies can reduce systemic risks, improve resilience against AI-driven manipulation and misinformation, and build trusted AI markets.
Next Steps
In the coming months, BGF will:
- publish a baseline AIWS Trust Rating – Core package, including evaluation criteria and reporting templates;
- convene a multi-stakeholder review process with experts from policy, academia, civil society, industry, and healthcare;
- launch pilots in priority domains—especially government services and healthcare; and
- publish the inaugural AIWS Trust Index and periodic AIWS Trust Reports to track benchmarks, progress, and best practices.
About Boston Global Forum and AIWS
Boston Global Forum (BGF) is a global think tank and convening platform advancing responsible innovation, democratic governance, and international cooperation.
AI World Society (AIWS) is BGF’s initiative to develop practical architectures for human-centered, trustworthy AI, advancing peace, security, and human dignity in the AI Age. The AIWS Trust Infrastructure provides the umbrella framework of standards, dashboards, audits, and governance mechanisms within which the AIWS Trust Rating operates and the AIWS Trust Index reports progress.
Media Contact:
Boston Global Forum – Communications Office
Email: [email protected]
Phone: +1 617 286 6589
