by Editor BGF | Aug 14, 2026 | Papers & Reports, News, Publications
With this paper — The AIWS Model of Society for the AI Age: Six Foundations for Human Dignity, Legitimate Authority, and a Human–AI Co-Creation Civilization — Nguyen Anh Tuan, Co-Founder, Co-Chair and CEO of the Boston Global Forum and Chief Architect of AIWS, marks a new stage in the evolution of AIWS: from developing principles, standards, and institutions for responsible AI toward building a comprehensive civilizational architecture for humanity in the AI Age. The paper is offered as a special contribution for the 50th Anniversary of Dalat University, where the author studied mathematics, probability, and statistics.
At its center are the Six Foundations — Human Dignity, Human Primacy, Human-in-Command, Trust Infrastructure, Constitutional Governance, and Human Flourishing. Together with the AIWS 7-Layer Model, they form the AIWS Civilization Matrix, connecting human values and legitimate authority with standards, laws, institutions, public systems, and real-world applications.
The paper advances a fundamental proposition for the AI Age: intelligence can be separated from human beings; legitimate authority cannot. AI may become extraordinarily capable, but human beings must remain the authors of values, the bearers of responsibility, and the source of legitimate authority. It sets an equally demanding standard for trust: trust must be earned through evidence, sustained through independent verification, and remain open to legitimate contestation.
This is the larger aspiration of AIWS: not simply to govern artificial intelligence, but to help build a Human–AI Co-Creation Civilization grounded in verifiable trust and illuminated by the AIWS Lumina Culture — Love, Creativity, Nobility, and Wisdom. A civilization in which technology advances human dignity, and humanity remains the wise and responsible author of its future.
Read and download the full paper here: The AIWS Model of Society for the AI Age: Six Foundations for Human Dignity, Legitimate Authority, and a Human–AI Co-Creation Civilization
From the Vatican to Paris, London, Japan, India and Boston, AIWS has evolved through dialogue with world leaders, AI pioneers, policymakers, and institutions. These moments reflect a continuing journey — from principles for responsible AI toward a civilizational architecture for humanity in the AI Age.
by Editor BGF | Aug 10, 2026 | World Leader for Peace and Security, News, World Leaders in AIWS Award Updates
An AI Pioneer honored at Loeb House turns to automating discovery itself
On August 5, 2026, Jeff Dean, chief scientist at Google, announced his departure after 27 years to co-found Discovery Loop, a public benefit corporation, where he will serve as chief executive.
He is joined by Sanjay Ghemawat, a Google senior fellow; Oriol Vinyals, a vice president at Google DeepMind; and Quoc Le, a co-founder of Google Brain. Google remains a founding investor and Cloud partner, with Radical Ventures and Khosla Ventures co-leading the seed round. The announcement came alongside a wider reshuffle of Google’s AI leadership, in which Demis Hassabis becomes Chair of Google DeepMind and Chief Scientist of Alphabet.
Discovery Loop aims to automate the experimental loop itself — proposing a hypothesis, running the experiment, evaluating the result, and beginning the next cycle. It starts with machine-learning research and engineering, and intends to extend into hardware design, drug discovery, and clean energy.
BGF–AIWS honored Jeff Dean with the America 250: AI Pioneers Award at the America at 250 Conference at Loeb House, Harvard University, on May 1, 2026, where he was recognized as the first of the fifty AI Pioneers — for work that built much of the infrastructure of modern computing and AI, from MapReduce and Bigtable to TensorFlow and the TPU.
His new venture reaches the frontier that AIWS Lumina Lab was created to study. When AI stops answering questions and begins conducting experiments, it becomes an instrument of discovery rather than a source of answers — and the human questions move with it. Who set the hypothesis. Who examined the result. Who is answerable for what the loop produces. Lumina Lab exists to keep judgment, responsibility, and trust at the center of exactly this transition, as it moves from conversation into the laboratory.
by Editor BGF | Aug 10, 2026 | Shinzo Abe Initiative for Peace and Security, News
Phase 1 begins with banking, financial, insurance and telecommunications enterprises in Vietnam and ASEAN
On August 6, 2026, Ambassador Vu Quang Minh, Former Deputy Minister of Foreign Affairs and Representative of the Boston Global Forum in Vietnam, presented AIWS Trust Infrastructure at the VNR500 Conference in Hanoi, hosted by Vietnam Report — the annual gathering of Vietnam’s five hundred largest enterprises, at which the Top 50 leading companies in each sector are also announced.
At the conference, Vietnam Report formally began deployment of AIWS Trust Infrastructure — AIWS Trust Rating and AIWS Trust Index. Phase 1 covers enterprises in banking, financial services, insurance and telecommunications, in Vietnam and ASEAN, under BGF–AIWS supervision and in accordance with AIWS Trust Standards. Vietnam Report is Founding Business Partner of BGF–AIWS in Asia and Founding Coordinator for the region.
BGF–AIWS deploys AIWS Trust Infrastructure in the United States, Japan and Vietnam, holding the standards, the certification authority, and independent verification.
AIWS Trust Rating has now entered the operating decisions of major enterprises in one of Asia’s fastest-growing economies — the first time it reaches corporate Asia at this scale, and in the sectors where trust carries the most immediate consequence.
The initiative advances the spirit of the Shinzo Abe Initiative for Peace and Security: cooperation among trusted partners, so that emerging technologies serve peace, prosperity, and human dignity.
BGF–AIWS invites American, Japanese, Vietnamese, and other international enterprises, universities, and institutions to take part.
Trust must not merely be promised. It must be demonstrated, independently verified, and earned.
Ambassador Vu Quang Minh, Former Deputy Minister of Foreign Affairs and Representative of the Boston Global Forum in Vietnam, presenting AIWS Trust Infrastructure at the VNR500 Conference, Hanoi, 6 August 2026
by Editor BGF | Aug 8, 2026 | News
On August 3 the White House announced that it had met the deadline set by the June 2 executive order Promoting Advanced Artificial Intelligence Innovation and Security, which required a framework for reviewing the most capable AI models before release. It had been discussed with Meta, Nvidia, Microsoft, OpenAI, Anthropic and smaller developers. Officials declined to say what it contains, who has seen it, or when companies will begin using it.
The day before, the European Union’s AI Act took effect, giving the European Commission authority to demand review of advanced models before release, with penalties reaching seven percent of worldwide annual revenue. Two answers to the same problem arrived within twenty-four hours. One is binding and published. The other is voluntary and undisclosed.
Pre-deployment review is a genuine advance, and the American framework has a defensible reason for confidentiality: its concern is national security, and capability thresholds tied to cyber risk cannot be published without telling adversaries where the lines fall. But a reason for withholding is not an answer to the question the withholding creates. When the criteria are classified, the reviewers internal, and the results unpublished, no citizen can distinguish a rigorous process from a nominal one — and neither can a legislator, an allied government, or a company wondering whether its competitors were held to the same standard. Nor is a legislative remedy near: the bipartisan framework that would have required independent audits of frontier developers remains stalled over state preemption.
The government has not done something wrong. It simply cannot, by itself, produce what this situation most needs — a standard the public can check. That is the institutional problem examined in Beacon Papers No. 4 — Who May Verify?
An Independent Layer of Trust Verification
BGF–AIWS proposes that the AIWS Trust Order Board, working with AI pioneers, scientists and legal scholars, develop an independent mechanism to sit alongside government-led review. This is not a challenge to public authority but a complement to it: the mechanism should not replace the legitimate authority of the United States Government, nor seek information that must remain classified. Its value lies precisely in what the government, for legitimate reasons, cannot supply — verification that is itself open to inspection.
Supported by the AIWS Trust Infrastructure, the Board could verify selected trust and safety claims, assess systems against published AIWS Trust Standards, examine Human-in-Command safeguards including override and emergency intervention, and issue public attestations that provide real accountability without disclosing sensitive information.
Government determines whether a deployment satisfies public authority. Independent trust institutions determine whether the safeguards surrounding it deserve public confidence. Neither substitutes for the other.
A Frontier AI Trust Review Pilot
BGF–AIWS proposes exploring a Frontier AI Trust Review Pilot with U.S. institutions, frontier AI laboratories and universities. It would not duplicate the government’s evaluation, but begin with questions an outside party can answer. Does a frontier system have effective Human-in-Command mechanisms? Are critical safety claims supported by examinable evidence? Are serious incidents reported? Are deployment decisions traceable to accountable human authorities?
Such a pilot would demonstrate the principle AIWS Trust Infrastructure exists to advance: trust must be demonstrated, not merely declared.
As governments build mechanisms to review increasingly powerful AI, the next institutional question arrives with them: who verifies the verifiers? The answer cannot be that society should simply trust them. In the AI Age, those who verify powerful AI must themselves be verifiable.
by Editor BGF | Aug 8, 2026 | Papers & Reports, News, Publications
As artificial intelligence becomes capable of drafting speeches, research papers, legal arguments, policies, and works of extraordinary sophistication, a fundamental question is emerging: Who is the author?
Beacon Papers No. 6, Who May Author?, argues that the answer should not depend primarily on who generated the words. Throughout history, leaders, judges, scholars, and public officials have relied upon advisers, researchers, editors, clerks, and speechwriters. What ultimately made a work theirs was not that they personally produced every sentence, but that they exercised judgment over it and could be called to answer for it.
AI makes this ancient question newly urgent. Unlike a human assistant, an AI system cannot ultimately be held morally or institutionally accountable. As AI assistance becomes more capable, therefore, human responsibility does not diminish—it becomes more concentrated.
The paper proposes a clear principle:
Judgment, not generation, is the foundation of authorship.
Human authorship is preserved when a person sets the purpose and values of a work, independently judges what AI provides, verifies factual claims, approves the final work, and accepts full responsibility for it. Authorship is lost when someone signs or publishes something they have not truly examined, cannot explain, cannot defend, or will not answer for.
But Who May Author? goes further. It proposes that access to AI assistance should itself become a fundamental right in the AI Age. People should be free to employ AI in thinking, learning, writing, creating, governing, and serving society. Institutions should regulate responsibility, rather than simply suppress AI assistance.
This right, however, carries a profound duty.
Human judgment is not something humanity can simply assume it will always possess. Judgment is a capacity, and capacities survive through exercise. A civilization that protects people’s right to use AI while allowing their independent capacity to judge to atrophy could preserve the appearance of human authorship while losing its substance. The Constitution for Humanity in the Age of AI must therefore protect not only human rights, the paper argues, but also the essential human capacities that make those rights meaningful.
Beacon Papers No. 6 concludes with a standard for the AI Age:
AI may assist.
Only humans may author.
Only humans may be accountable.
And behind that principle lies an even larger measure of our future:
The measure of civilization in the Age of Artificial Intelligence will not be the intelligence of its machines, but the judgment of its people
Read and download the full Beacon Papers No. 6 — Who May Author? here: https://bostonglobalforum.org/wp-content/uploads/Beacon_Papers_No6_Who_May_Author-6-8.pdf
Nguyen Anh Tuan speaks at the America at 250 Conference, Loeb House, Harvard University, May 1, 2026. His Beacon Papers No. 6, Who May Author?, affirms a defining principle for the AI Age: “Judgment, not generation, is the foundation of authorship.”
