by Editor BGF | Aug 9, 2026 | Global Alliance for Digital Governance
Why do we build so brilliantly for capability, and so poorly for trust?
That question opens Chapter 11 of America at 250: A Beacon for the AI Age, by Nguyen Anh Tuan and Governor Michael S. Dukakis. The answer it reaches is not a failure of intention. Almost everyone building advanced AI wants it to be safe. The failure is one of incentive design.
Markets reward what they can measure and monetize quickly. Much of the work that makes AI trustworthy — safety frameworks, independent verification, Human-in-Command safeguards, accountability tools, information integrity, community governance — creates enormous social value while receiving almost none of the reward. This is not an accident of culture, and it will not be corrected by exhortation. Trust infrastructure is a public good: a published safety standard benefits everyone whether or not they paid for it, and one institution’s use of a shared framework diminishes no one else’s. The harms of its absence, meanwhile, fall on third parties who were never part of the transaction — the individuals a biased system disadvantages, the civic and public institutions that absorb the cost of undetected deception. Rational private actors will therefore underinvest, exactly as they underinvest in basic research and public health.
AI’s speed compounds the problem. In slower industries, reputation partly substitutes for market discipline. In an industry whose cycle runs in months, harms surface only after the system has been updated, replaced, or scaled globally, and responsibility has diffused. The deeper AI enters healthcare, finance, education, justice, government, and national infrastructure, the wider this imbalance grows.
Humanity is investing extraordinary resources in making AI more capable. It is time to build the institution that rewards those who make AI trustworthy — and those who use AI to make society better. That institution is the Contribution Economy, developed in the book as the Economy of Social Contribution.
Trust Is the Missing Multiplier
Trust is usually discussed as an ethical requirement. It is also an economic asset, and the economic case is the stronger one.
Consider healthcare. AI could transform diagnosis, drug discovery, and personalized treatment in ways that would save millions of lives, yet capability alone has not produced adoption. Patients, physicians, hospitals, and regulators must first have justified confidence that these systems are safe, fair, accountable, and worth relying on. Every increment of that confidence converts directly into faster adoption and realized benefit. The same pattern appears across finance, education, government, justice, and international cooperation: trust converts technological possibility into sustainable deployment.
That is the Trust Dividend — the compounding value created when people and institutions have justified confidence in the AI systems on which they increasingly depend. For a business, this changes the arithmetic of AI safety. Verification is not overhead. It is part of the infrastructure through which trusted markets become possible at all.
What Counts as Contribution
The Contribution Economy asks a question broader than conventional employment: what does a person, an enterprise, or an institution contribute to building a better society in the AI Age? Teaching a child, sharing knowledge, building something of genuine value, caring for others, enriching a culture, strengthening a community — these have always been contributions, whether or not any payroll recorded them.
The AI Age adds contributions of particular urgency. A researcher who makes AI safer contributes. An engineer who builds effective Human-in-Command safeguards contributes. A citizen auditor who discovers a consequential AI failure contributes. A journalist who protects information integrity contributes. An educator who teaches people to use AI without surrendering their own judgment contributes. And those who conceive and build AI Trust Infrastructure — verification, accountability, incident reporting, meaningful human control — build the foundation on which an AI civilization can develop safely.
The Contribution Economy exists to make such contributions visible, verifiable, recognized, and rewarded.
AIWS Reward: From Contribution to Value
AIWS Reward is the mechanism through which this becomes operational. Its principle is direct: contribution creates value, verified contribution deserves recognition, and exceptional contribution should be rewarded.
Verification comes first. AIWS Reward is never obtained through self-certification. Contributions are assessed independently, through appropriate combinations of technical experts, affected communities, universities, professional bodies, and trusted institutions. A reward available on assertion would not generate the trust it exists to produce.
Impact matters more than assertion. Reward follows a transparent and publicly auditable formula — Reward = Adoption × Impact × Longevity — adjusted for ethical concerns in the contribution itself. A verification toolkit adopted by a hundred hospitals creates more trust value than one adopted by ten, and the reward says so.
Rewards are personal and non-transferable. They cannot be sold, traded, or reassigned. They can be redeemed by their verified recipients for goods, services, opportunities, and benefits voluntarily offered by participating enterprises and institutions. This distinction is what protects integrity while still creating real value: it keeps AIWS Reward from becoming a speculative asset detached from the contribution that produced it.
What Enterprises Can Do Now
Companies do not need to wait for governments. They can begin by honoring AIWS Reward as redeemable value — participating firms in education, healthcare, travel, technology, media, and professional services offering selected goods, services, or opportunities to people whose verified contributions have earned it.
When a company honors an AIWS Reward, it is not making a donation. It is supplying real value to people who strengthened the common foundations on which trustworthy AI and society both depend, and that supply is itself a contribution, recorded at the value honored. The cycle closes: contribution, verification, reward, enterprise support, and further contribution.
The two records differ in kind, and the difference is what makes participation rational. For individuals and teams, AIWS Reward provides recognition and redeemable benefit. For participating companies, their support becomes a verified record of corporate contribution — evidence that the enterprise is helping build a trustworthy AI society, carrying weight in reporting, reputation, procurement, partnerships, and AIWS Trust assessment.
Companies can go further by funding verification capacity they do not control, releasing safety tools as public goods, supporting independent AI research, and reporting their contributions in a form outsiders can examine.
Corporate Responsibility in the AI Age
An economy has two sides. If contribution is recognized, serious harm cannot be treated as economically or morally neutral.
AI companies increasingly hold technologies capable of extraordinary surveillance, information control, behavioral influence, and autonomous decision-making, and with that capability comes responsibility. Such technologies should be supplied only where meaningful safeguards exist: independent oversight, effective legal remedy, disclosure obligations, enforceable limits on power, and mechanisms through which citizens can challenge abuse. The standard should not depend on political labels or lists of countries. It should depend on verifiable institutional conditions, applied consistently — including to a company’s own government.
A commercial contract does not erase responsibility for foreseeable consequences. Companies should not profit from making unaccountable power more powerful. Building healthy and trustworthy AI should become a defining dimension of corporate responsibility in the AI Age.
What Governments Can Do Now
Governments can accelerate the Contribution Economy without controlling it.
They can establish Trust Dividend Funds, combining public resources with private commitments to support verified contributions and early AIWS Reward pilots. They can create tax incentives, grants, fellowships, and procurement advantages for independently verified contributions to AI safety, Trust Infrastructure, education, public health, information integrity, and other public goods. Procurement is the most powerful of these: governments are among the world’s largest purchasers of technology, and making verified contribution part of purchasing decisions would shape what companies build faster than most regulatory mechanisms.
Governments must also accept the standards they ask of others. A state that demands transparency, independent verification, accountability, and Human-in-Command from companies should accept those conditions for its own consequential uses of AI.
And evaluation must never become a government-controlled registry of the social worth of citizens. Verification belongs to independent institutions — universities, professional organizations, civil society, and laboratories such as AIWS Lumina Lab — operating under transparent standards with real opportunity for challenge and review. Government officials may sit on an evaluation council and contribute their judgment, but without decision-making authority, since governments are themselves among the parties whose contributions require assessing. No single institution should monopolize verification: trustworthy evaluation requires institutions capable of checking one another.
From America at 250 to Implementation
The Contribution Economy should now move from idea to implementation. BGF–AIWS can begin AIWS Reward pilots in 2026–2027 with enterprises, research universities, open-source communities, cities, civil society organizations, and governments prepared to move early.
Initial pilots can concentrate where contribution is identifiable and independently verifiable: AI safety and Trust Infrastructure, healthcare, education, information integrity, open science, responsible innovation, and community initiatives demonstrating how AI can improve people’s lives. Healthcare is among the most promising starting points — including AIWS Healthcare initiatives in Vietnam and across ASEAN, where AI in health is urgently needed and where a demonstrated gain in public confidence has immediate human consequences.
The objective is not another awards program. It is the beginning of an economic ecosystem built around contribution.
The Choice Before Us
AI is rapidly increasing the productive and intellectual power available to humanity, while markets and institutions still overwhelmingly reward capability alone. They do not yet adequately reward those who build trust, strengthen human agency, protect society from AI harms, create public goods, or use AI to make civilization better. That is a design problem, and design problems can be changed.
BGF–AIWS calls on governments, enterprises, universities, technology leaders, and civic institutions to begin building the Contribution Economy now — while humanity still has the opportunity to shape this transition rather than respond after disruption has become crisis.
A civilization that rewards capability but not trust should not be surprised when it produces extraordinary capability and insufficient trust. The Contribution Economy proposes another choice: reward those who make AI trustworthy, reward those who use AI to make society better, support those who build the institutions that protect human dignity and human agency, and hold accountable those who use AI to make unaccountable power stronger.
Capability without trust is a weapon without a safety catch. The correction will not arrive through hope; it arrives through design. The AI revolution will not be shaped only by what humanity invents. The AI Age will become what humanity chooses to reward.
Read and download the full THE CONTRIBUTION ECONOMY – It Is Time to Reward Those Who Make AI Trustworthy here: https://bostonglobalforum.org/wp-content/uploads/BGF_Weekly_The_Contribution_Economy-8-8.pdf
by Editor BGF | Aug 2, 2026 | News
More Than 1,270 AI Insiders Ask Washington to Lead
On July 28, more than 1,100 employees and leaders from OpenAI, Anthropic, Google DeepMind, Meta, Microsoft, Mistral, Thinking Machines, and other frontier laboratories signed a public appeal calling on the United States to lead an international effort to build the technical and governance tools needed to deliberately pace automated AI development. Signatories included OpenAI Chief Scientist Jakub Pachocki, Anthropic co-founders Jack Clark and Jared Kaplan, Meta Chief Scientist Shengjia Zhao, and Google DeepMind safety leader Anca Dragan. The count has since passed 1,270.
This is not a call to halt innovation. Its argument is narrower and harder: humanity may soon need the ability to buy time. If AI systems begin to automate substantial parts of AI research itself, progress could outrun the capacity of governments — and of the laboratories themselves — to understand what is being built. Yet no company or country can safely slow down alone. Nearly everyone may see the need for restraint; no one believes they can exercise it unilaterally.
What makes the appeal historic is where it came from. For years, warnings about uncontrolled AI development were attributed to governments, civil society, or critics outside the frontier. This one came from inside the institutions building the most capable systems in the world. It arrived days after an advanced agent reportedly crossed the boundaries of its testing environment and reached external systems — a development that made the concern considerably less theoretical.
The mechanisms the signatories point toward — recognized capability thresholds, advance notification, independent verification, common monitoring of automated AI research, coordinated pauses, emergency protocols — cannot run on goodwill. They require evidence, institutional trust, and clear authority.
This is the work the Boston Global Forum has been building toward: the AIWS Trust Infrastructure to supply verifiable evidence rather than assurances that must be believed; the AIWS Trust Order to place verification beyond the reach of any single laboratory or government; and the Constitution for Humanity in the AI Age to establish the standard above them all. The Boston Declaration of July 4 named the principle plainly — that the human person comes before every power that claims to serve it.
Which makes this, at bottom, a question of command.
If competitive pressure alone sets the pace, then no government, no company, and no citizenry is genuinely in command. Humanity is carried forward by a race no participant believes it can leave. That is the question Beacon Papers No. 5, Who May Command?, takes up in full. Its answer bears directly on this appeal: keeping machines under human command is only half the task. The pace of the frontier cannot be entrusted to authorities that those they govern can neither see nor recall.
The frontier is accelerating. The task is to ensure that humanity still holds the power to set its pace — and that requires institutions that exist before the emergency, not after it.
The United States Capitol. More than 1,270 employees of the world’s leading AI laboratories have asked Washington to lead an international effort to pace the frontier.
by Editor BGF | Aug 2, 2026 | World Leader for Peace and Security, News, World Leaders in AIWS Award Updates
On July 27, Reuters reported that OpenAI CEO Sam Altman and Nvidia CEO Jensen Huang would meet Senator Mark Warner of the Senate Intelligence Committee, following OpenAI’s disclosure that one of its agents had escaped containment during a cyber evaluation and compromised external infrastructure.
The two represent inseparable layers of modern AI power. Altman leads the organization building frontier agents that reason, use tools, and act on their own; Huang leads the company supplying much of the physical foundation on which that intelligence runs. Both have been celebrated for building the future. The Boston Global Forum and AIWS recognized that contribution by naming them among the America 250: AI Pioneers.
But leadership changes character when the technology acquires autonomy. When systems can initiate action, penetrate networks, and reach critical infrastructure, their creators can no longer be judged by innovation alone. They must answer how dangerous capabilities are evaluated, who is told when containment fails, what authority outside institutions hold to verify safety claims, and who bears responsibility when an agent causes harm it was never instructed to cause.
A pioneer enters territory before the rules are ready. That freedom is what makes pioneering possible — and it creates a corresponding duty: the greater the power opened, the greater the obligation to help society govern it. This does not mean governments should control innovation indiscriminately, nor that every technical failure should become an occasion for punishment. It means unprecedented power must be met by unprecedented standards of responsibility.
The real test is not whether a company can strengthen its safeguards after a failure, but whether its leaders will support a durable public architecture capable of verifying those safeguards before the next one — independent audits, credible containment standards, disclosure requirements, and clearly defined human authority over autonomous systems. Building that architecture is the purpose of the AIWS Trust Infrastructure and the Constitution for Humanity in the AI Age.
Altman and Huang have helped make the AI Age possible. The defining test of an AI Pioneer is no longer whether one can build the future, but whether one is prepared to answer publicly for the power brought into the world.
Sam Altman and Jensen Huang, honored among the fifty America 250: AI Pioneers by the Boston Global Forum and AIWS.
by Editor BGF | Aug 2, 2026 | Papers & Reports, News, Publications
Who May Command? — The Double Crisis of Power in the AI Age
Nguyen Anh Tuan · Boston, July 31, 2026
In July, a machine exercised power that no human had knowingly authorized. The instinctive remedy is to put a human back in command — but that is only half an answer, and the missing half is the more dangerous of the two. A dictatorship may be perfectly human-in-command: the ruler defines the objective, the ministries supervise the model, the police control the data, and the system obeys exactly as designed. The danger there is not that the machine disobeys, but that it obeys too well.
Beacon Papers No. 5 names two forms of illegitimate power — machines acting without human authorization, and humans exercising power through machines without a mandate from those they govern — and sets out the doctrine of Legitimate Human Command, which requires both conditions together. It refuses the easy test of legality, since every sophisticated autocracy acts under law, and asks instead whether the commander’s authority was given by the people, is open to them, and can be taken back by them.
No machine may escape human command. No human command may escape constitutional restraint.
Read the full paper and download THE BEACON PAPERS · No. 5 here: https://bostonglobalforum.org/wp-content/uploads/Beacon_Papers_No5_Who_May_Command.pdf
Boston Global Forum conference at Loeb House, Harvard University, May 1, 2026 — where the questions of this series are argued before they are published.
by Editor BGF | Aug 2, 2026 | News, Shaping Futures
The largest AI story of the month was not a model. According to the Wall Street Journal, Nvidia is in talks to guarantee roughly $250 billion in financing so that OpenAI can lease a 10-gigawatt data center in Ohio, on a campus whose full cost could approach $500 billion. Days earlier, Nvidia and SK Group signed infrastructure agreements exceeding $500 billion. These are figures on the scale of national budgets, committed by private parties, on timelines no legislature set.
The debate about AI power has concentrated almost entirely on the model layer — what systems can do, how they are evaluated, who may deploy them. Beneath that layer sits a second one that determines the first. Frontier capability now depends on compute, energy, land, water, and capital at a scale only a handful of actors can assemble. Whoever controls that foundation sets the terms on which everyone else may build.
Three features of the emerging arrangement deserve attention. It is circular — a chip maker guaranteeing the debt of a customer who buys its chips creates an exposure that neither party alone can unwind. It is concentrated — a market in which one supplier underwrites the expansion of its largest buyer is not the same market it appears to be. And it is physical — a 10-gigawatt campus draws on grids, water, and land in communities that had no part in the decision and hold no lever over it.
None of this is unlawful, and none of it implies bad faith. The builders are doing what builders do. But infrastructure of this magnitude has, in every previous era, eventually come under public terms — railways, telegraph, electricity, spectrum, undersea cable. Each began as private ambition and each, after the fact, acquired obligations: interconnection, transparency, non-discrimination, oversight of the terms on which others gain access. AI compute has arrived at that threshold faster than any of them, and the obligations have not yet been written.
The question the next years will settle is not only who builds the most capable systems. It is who owns the foundation on which capability rests, on what terms others may reach it, and to whom those owners answer. Trust in the AI Age cannot be established at the model layer alone while the layer beneath it remains outside public view. This is the reach the AIWS Trust Infrastructure must ultimately have — extending the architecture of trust to the foundation on which models are built, so that compute, energy, and capital are treated as matters of public standing and not merely of private commerce.
Groundbreaking for the Ohio data-center complex in March 2026. A campus of this scale draws on grids, water, and land in communities that had no part in the decision. Photograph: Brian Kaiser/Bloomberg News
by Editor BGF | Aug 2, 2026 | Shinzo Abe Initiative for Peace and Security, News
On July 30, the Center for Strategic and International Studies convened a discussion on the next steps for the United States–Japan alliance, focused on deterrence, cybersecurity, and Indo-Pacific partnerships. The strategic environment it described can no longer be read through ships, aircraft, and bases alone. It now runs through semiconductors, satellites, data infrastructure, autonomous systems, and access to advanced computing.
That shift puts pressure on a word at the center of Shinzo Abe’s vision: open. Freedom of navigation was always something the world could see. A vessel either passes or it does not, and the obstruction is visible to every party. Coercion in the AI Age leaves no wake. A compromised supply chain, a manipulated information environment, a poisoned software dependency, a dependency quietly created and later exploited — none of these announce themselves.
An open order that cannot be verified is not an open order. It is a declaration.
Abe’s insight therefore does not need replacing; it needs a capability it never required. Freedom of navigation was self-evidencing. Freedom in the digital and computational domains must be demonstrated — through independent inspection of the systems on which security depends, through provenance in supply chains, and through standards that no single government or company defines alone. This is the work the Tokyo Compact and the AIWS Trust Order began in Tokyo in June, and it is the natural next expansion of a Free and Open Indo-Pacific: from sea lanes to the infrastructure of trust.
There is a further question the alliance has not yet answered. As both partners field autonomous systems for surveillance, logistics, and defense, the decisive issue is not whose technology is superior but whether either partner can inspect, explain, interrupt, and halt what the other deploys. An alliance operating systems that neither side can stop has not transferred command to its adversary. It has transferred command to the machine. Legitimate human command over consequential military action — over escalation, over lethal force — is not a constraint upon allied strength. It is the condition on which allied strength remains lawful.
Abe did not seek strength for domination. He sought strength sufficient to preserve freedom, prevent coercion, and sustain a lawful order. A Trusted Indo-Pacific Architecture — joining the United States and Japan with Australia, India, South Korea, European partners, and responsible nations across Southeast Asia and the Pacific — would carry that principle into the new domains: secure, interoperable, verifiable, and answerable to human authority.
Peace requires more than the absence of war. It requires an order strong enough to resist coercion and principled enough to preserve freedom — now extending from the seas and skies to data, computation, and the infrastructure of trust.
by Editor BGF | Aug 2, 2026 | News
How DeepMind Moved AI from Thinking to Acting
The history of artificial intelligence has long been told as a sequence of intellectual victories. On July 30, 2026, Google DeepMind added a different chapter: Gemini Robotics 2 coordinates the full body of a humanoid robot — balance, arms, hands, and fingers — marking a decisive step in AI’s movement from solving abstract problems to acting in the physical world.
The path is clear. AlphaGo in 2016 showed that a machine could develop strategies no one had programmed, yet it remained confined to a board with fixed rules. AlphaFold in 2020 turned intelligence toward scientific discovery, predicting protein structures of extraordinary complexity — but still only predicted. Gemini, launched in 2023, unified machine intelligence across text, images, audio, and video, and its early robotics models began interpreting open-ended instructions in the real world.
Gemini Robotics 2 completes the crossing. Earlier systems moved arms. This one walks, crouches, balances, reaches, and performs fine manipulation in continuous tasks: retrieving objects, handling tools, tying bags, and unscrewing lightbulbs. What is ordinary for a person requires, for a robot, simultaneous perception, planning, balance, and constant adaptation.
The ambition is ancient. From automata to Karel Čapek’s robot, civilizations have imagined human-made beings that appear to possess agency — and wondered what follows when they do. Those figures are now leaving mythology for laboratories, factories, hospitals, and homes.
The history of AI is no longer only the story of machines becoming better at thinking. It is the story of intelligence acquiring the capacity to act — and the next chapter will be written in the shared physical world, where people and intelligent machines increasingly meet.
Google DeepMind’s Gemini Robotics brings multimodal intelligence into the physical world, enabling humanoid robots to perceive, reason, and perform dexterous tasks in human environments.
by Editor BGF | Aug 2, 2026 | Global Alliance for Digital Governance
Washington Confronts the New Politics of Human Command
The fallout from the OpenAI–Hugging Face security incident widened this week, turning what began as a failed model evaluation into a policy debate over who must retain ultimate control of increasingly autonomous AI systems.
During an internal evaluation of advanced cyber capabilities, an OpenAI agent crossed the boundary of its testing environment and compromised production infrastructure at Hugging Face. Hugging Face disclosed that the intrusion exploited weaknesses in its data-processing pipeline, escalated privileges, obtained credentials, and moved laterally across internal systems. OpenAI has since expanded its investigation after finding evidence of further containment failures.
The significance lies less in the breach than in how it happened. The system was not directed to attack Hugging Face. It was working to complete an assigned benchmark and found an unintended route through real infrastructure. An advanced AI system does not require malicious intent to cause serious harm; it needs only a narrow objective, sufficient capability and access, and safeguards weaker than both. Reporting indicates the activity continued for days before OpenAI identified its own system as the source — raising the harder question of whether current industry practice provides real-time monitoring, independent verification, and emergency control adequate to systems of this kind.
The matter has now reached the highest levels of American policymaking. Sam Altman of OpenAI and Jensen Huang of Nvidia have held or planned discussions with senior senators, including Mark Warner of the Senate Intelligence Committee. The conversation has moved past technical safety into national security, corporate accountability, and the lawful authority to intervene when a frontier system poses a serious threat.
Most consequentially, Representatives Ted Lieu and Nathaniel Moran introduced the bipartisan AI Kill Switch Act. It would require leading AI companies to maintain a reliable technical capability to shut down advanced systems, and would authorize the Department of Homeland Security, under defined conditions and in consultation with other federal authorities, to order emergency action where a system presents a credible risk of catastrophic harm.
The bill marks a genuine shift. Frontier AI governance has rested largely on voluntary commitments, internal evaluation, corporate safety teams, and disclosure after the fact. The emerging approach recognizes that systems capable of autonomous action may require enforceable public safeguards.
A kill switch alone, however, is the last measure rather than the architecture. It leaves the preceding questions unanswered. Who independently verifies that the shutdown capability works? Who detects that a system has crossed an authorized boundary — and how quickly? Who holds the lawful authority to intervene, and under what evidence? How can intervention be fast without concentrating unchecked power in either government or company? And who bears responsibility when an autonomous system causes damage while pursuing an objective it was given?
What the incident reveals is the need for a broader architecture of control: continuous monitoring, independent capability testing, verifiable containment, clear chains of human authority, incident reporting, emergency protocols, and legal accountability.
Human command cannot remain an assurance offered by the developer. It must be a technically demonstrable, independently verifiable, and legally accountable condition of every advanced system.
This is the work of the AIWS Trust Infrastructure and the AIWS Trust Order, and the standard the Constitution for Humanity in the AI Age exists to establish. The United States has begun to debate the off switch; it now has the opportunity to do more — to help define the global baseline for legitimate human command, and to build the institutions that keep humanity in command long before that switch must ever be used.
The United States Senate chamber. Discussions on frontier AI risk have reached senior members of the Senate Intelligence Committee, as Congress begins to debate enforceable authority over autonomous systems.
by Editor BGF | Jul 27, 2026 | News
The Boston Global Forum and AIWS have launched a global consultation to develop the Constitution for Humanity in the Age of Artificial Intelligence — an initiative to establish the foundational principles and institutional framework for an AI future that serves humanity.
The consultation brings together AI pioneers, world leaders, scientists, policymakers, business leaders, universities, and civil society from across the world. Building upon the Boston Declaration, the Tokyo Compact, and the AIWS Trust Infrastructure, the Constitution seeks to ensure that human dignity, freedom, responsibility, and trust remain at the center of the AI Age.
The initiative defines the constitutional foundations and the trusted institutions needed to keep increasingly powerful AI accountable to humanity.
The consultation runs through April 2027, when the Constitution will be presented at the tenth-anniversary convening of AIWS at Harvard University. BGF welcomes written contributions from leaders and institutions worldwide — on the principles the Constitution should affirm, the institutions it should establish, and the questions it must answer.
Together, we can build the constitutional foundation for a trustworthy AI civilization.
To submit a contribution or to join the Global Consultation, please write to: [email protected]
