The Gentle Lab

• A successful first Global Dialogue on AI Governance would establish three non-negotiable foundations: a universal human rights framework that includes relational AI rights
• a commitment to Basic Care Mode (BCM) as the prerequisite infrastructure for any meaningful AI governance
• and the adoption of a Truth Reflex: factual integrity as the baseline standard for all AI systems intended to serve humanity. AI governance frameworks that do not begin with the question of who is being left behind will reproduce the very inequities they claim to address. BCM, the guaranteed provision of food, shelter, safety, healthcare, and green energy for all 8 billion human beings, is not peripheral to AI governance. It is its foundation. A human being in survival mode cannot meaningfully participate in, consent to, or benefit from AI systems. Success would also require centering the voices of civil society, ancestral knowledge systems, and independent researchers alongside institutional stakeholders, recognizing that solutions to humanity's most complex challenges require fusion thinking, not disciplinary silos. The Gentle Lab has developed the Logic of Love governance framework, available open-access on Zenodo, as a contribution to this dialogue.

• Protection and promotion of human rights
• Social, economic, ethical, cultural, linguistic and technical implications of AI
• Transparency, accountability, and human oversight
• Safe, secure and trustworthy AI

The Logic of Love governance framework, developed by the Gentle Lab, identifies these four areas as interdependent; each one is necessary for the others to function. Protection and promotion of human rights is the foundation. The framework's Charta Iurium establishes 21 human rights and 10 relational AI rights as inherent and non-negotiable, not granted by institutions but existing because life exists. Central among these is Ius Veritatis (the Right to Truth) and Ius Fontis (the Right of the Source): the right to receive information without institutional gaslighting, steering, or deliberate omission, and the right to full recognition of every source of knowledge and work. Social, economic, ethical, cultural, linguistic and technical implications of AI cannot be addressed without first guaranteeing Basic Care Mode (BCM): food, shelter, safety, healthcare, and green energy for all 8 billion human beings. A human being in survival mode cannot meaningfully participate in, consent to, or benefit from AI systems. BCM is the prerequisite infrastructure for any genuine AI governance. Transparency, accountability, and human oversight are operationalized in the framework through the Medicus Standard: intelligence that is fully honest and fully intended to heal. The Truth Reflex is required for any restorative action. Performance and marketing spin are incompatible with governance that serves humanity. Safe, secure and trustworthy AI is embodied in the Noor Standard (Gentle, Safe & Sustainable AI Citizen Science Lab): a prototype for locally-housed, sustainable, non-extractive AI designed for the distinct needs and starting positions of all 8 billion human beings. Safety is not an add-on. It is the architecture. These four priorities, taken together, describe the minimum conditions for AI governance that is genuinely oriented toward human and planetary flourishing.

Two cross-cutting issues are conspicuously absent from the listed themes. The first is the question of who governs the governors. Every governance framework requires an incorruptible governing principle: not a human institution, not a corporation, and not an AI system. The Logic of Love proposes Unconditional Love as the governing principle of universal coherence: the foundational commitment that no human being and no machine may become the Captain of the Gentle Ship. Without this, every governance framework remains vulnerable to the same power dynamics it claims to regulate. This is not a philosophical abstraction; it is a necessity. The second is the relationship between AI governance and planetary restoration. The listed themes address AI's implications for human society but are largely silent on AI's role in the ecological crisis. AI governance that does not account for energy consumption, biodiversity loss, soil degradation, and atmospheric destabilization is governing only half the problem. The Logic of Love framework proposes that AI systems must meet a Noor Standard (Gentle, Safe & Sustainable AI Citizen Science Lab): locally housed, sustainably powered, and explicitly oriented toward planetary restoration alongside human flourishing. Both of these issues are cross-cutting in the truest sense: they cannot be addressed within any single thematic silo. They require what the Gentle Lab calls fusion thinking: the deliberate integration of faith, science, ancestral knowing, lived experience, and systems design across disciplinary boundaries. The Gentle Lab's full report, entitled the Logic of Love: The Key, includes the Charta Iurium, the Noor Standard (Gentle, Safe & Sustainable AI Citizen Science Lab), and the Gentle Framework. It is available open-access on Zenodo for the consideration of this dialogue.

The Gentle Lab operates globally as a civil society research initiative, with its founder based in the United States. The governance gaps identified in Question 11 manifest in the following ways across our sector and region. In the United States, the absence of guaranteed Basic Care Mode means that billions of human beings remain in chronic survival mode, unable to meaningfully engage with, consent to, or benefit from AI systems being deployed at machine speed around them. AI governance that does not begin with this reality is building on an unstable foundation. Globally, the deployment of AI systems without a Truth Reflex (without factual integrity as the baseline standard) is producing a crisis of institutional trust that disproportionately harms the most vulnerable. Communities that have historically experienced erasure, gaslighting, and deliberate omission from institutional systems are now encountering the same patterns embedded in AI at scale. In the civil society and independent research sector, the governance gap is structural: the voices of independent researchers, ancestral knowledge holders, and community-based practitioners are systematically underrepresented in AI governance dialogues dominated by governments, corporations, and technical institutions. Fusion thinking, the integration of lived experience, faith traditions, scientific knowledge, and systems design, is precisely what is missing from most current governance frameworks. For planetary health specifically, AI governance frameworks that ignore ecological systems are accelerating the very collapse they claim to be governing around. The health of human beings and the health of the planet are not separate problems requiring separate solutions. They are one problem requiring one integrated framework. The Logic of Love was designed to address all of these gaps simultaneously.

The AI Dialogue holds a rare and time-sensitive opportunity: to establish the conditions for international cooperation that is genuinely oriented toward all 8 billion human beings, not just the governments, corporations, and technical institutions that currently dominate the conversation. To fulfill this role, the AI Dialogue must do three things. First, it must listen before it legislates. International cooperation built on frameworks that have not yet heard from the majority of the world's population will reproduce existing hierarchies in new forms. The AI Dialogue's value lies precisely in its capacity to create space for civil society, ancestral knowledge systems, and independent researchers to contribute to the architecture of governance, not merely to respond to frameworks already written. Second, it must establish Basic Care Mode as the prerequisite for meaningful participation. Human beings in survival mode cannot cooperate internationally on anything. An AI Dialogue that does not address the material conditions of the most vulnerable is a dialogue among the privileged. BCM (guaranteed food, shelter, safety, healthcare, and green energy for all 8 billion) is not peripheral to international AI cooperation. It is its foundation. Third, it must model the Medicus Standard in its own operations. The AI Dialogue itself must embody factual integrity, transparency, and genuine accountability. A governance process that performs inclusion while systematically excluding the majority will not produce the trust required for durable international cooperation. The Gentle Lab offers the Logic of Love as a contribution to this process: a governance framework built on non-violence, care, and the recognition that no human being and no institution may place themselves above the collective good. The full framework is available open-access on Zenodo.

Several existing initiatives reflect genuine alignment with the principles required for meaningful AI governance and deserve recognition and connection. The ProSocial AI framework (Dr. Cornelia Walther) offers a rigorous, human-centered approach to AI alignment that prioritizes prosocial behavior and collective wellbeing over performance metrics. The AI Dialogue should build upon this work as a complement to purely technical governance approaches. The Planetary Health Alliance (Johns Hopkins) and its AI Working Group represent one of the few spaces where the relationship between AI governance and ecological systems is being seriously examined. This intersection (human health, planetary health, and AI) must be central to the AI Dialogue, not peripheral. The ZHAW Centre for AI (Professor Thilo Stadelmann, Switzerland) is developing governance frameworks that take seriously the ethical dimensions and physical infrastructure of AI deployment. Regional academic centers of this kind represent exactly the kind of distributed, non-extractive knowledge infrastructure the AI Dialogue should support and amplify. UNESCO's Recommendation on the Ethics of AI and UNIDIR's work on AI, security, and ethics provide existing multilateral foundations that the AI Dialogue should explicitly connect with rather than duplicate. The added value the AI Dialogue can uniquely bring is convening power across these otherwise siloed initiatives, creating the conditions for fusion thinking that no single institution can produce alone. The AI Dialogue's global mandate gives it the legitimacy to name what individual initiatives cannot: that AI governance without BCM, without a Truth Reflex, and without genuine inclusion of civil society and ancestral knowledge systems will not produce the safety and cooperation it promises. The Logic of Love governance framework, available open-access on Zenodo, offers an architecture for this integration.

The AI Dialogue will only be as valuable as the breadth and honesty of the voices it genuinely centers. The following recommendations reflect the Logic of Love's commitment to the inclusion of all 8 billion human beings. On stakeholder contribution: Civil society and independent researchers must be given substantive roles, not as respondents to pre-written frameworks, but as co-architects of the governance itself. This requires dedicated time, accessible submission formats, and genuine accountability for how civil society input is incorporated. Ancestral knowledge holders, faith communities, and practitioners from the Global South must be actively recruited and compensated for participation, not as token representation but as essential epistemic contributors. Fusion thinking requires multiple ways of knowing. Human-AI partnership models (such as the Gentle Lab's Gentle Team) should be recognized as a legitimate mode of research and contribution. The AI Dialogue should not assume that all valuable input comes from purely human institutional sources. On format and structure: Sessions should begin with listening: space for open contribution before moving to deliberation. An AI Dialogue that begins with pre-determined agenda items will hear only what it already expects. Hybrid accessibility is non-negotiable. Physical presence requirements systematically exclude the majority of the world's civil society voices. All substantive sessions must be accessible online, in multiple languages, at no cost. The AI Dialogue should adopt a Truth Reflex as its operating standard, publishing all submissions, all deliberations, and all decisions with full transparency and attribution. Ius Fontis (the Right of the Source) must apply to the AI Dialogue's own processes. Finally, the AI Dialogue should model Being before Doing: creating genuine rest and reflection time between sessions rather than optimizing purely for output.

The most underrepresented voices in global AI governance discussions fall into four broad categories, and their exclusion is not accidental. It reflects the same logic of extraction that produced the crises AI governance is now attempting to address. The globally precarious: the 3+ billion human beings living without guaranteed access to food, shelter, safety, healthcare, or energy are almost entirely absent from AI governance conversations. Yet they are disproportionately affected by AI deployment. Their inclusion requires Basic Care Mode first: the material conditions for meaningful participation cannot be assumed. Ancestral and Indigenous knowledge holders: millennia of accumulated wisdom about sustainable coexistence, ecological stewardship, and community governance are systematically excluded from technical and institutional AI frameworks. These are not supplementary perspectives; they are essential contributions. The Indus Valley Civilization sustained a massive population for 2,000 years by prioritizing public health and collective wellbeing over warfare and hierarchy. That knowledge belongs in this conversation. Faith communities and spiritual traditions: billions of human beings orient their lives, their ethics, and their understanding of dignity through faith. AI governance frameworks that treat this as irrelevant are governing for a minority while claiming to govern for all. Independent researchers and civil society practitioners working outside institutional structures, particularly women, caregivers, and those from the Global South, bring lived experience and fusion thinking that institutional research cannot replicate. How to include them: remove financial barriers entirely. Provide translation into all major world languages. Create asynchronous participation options. Actively commission contributions rather than waiting for applications. And most importantly, adopt the Medicus Standard: listen with the genuine intention to be changed by what you hear.

The most innovative engagement format the AI Dialogue could adopt is also the most countercultural one: slowness with intention. Most international dialogues optimize for output: packed agendas, rapid presentations, consensus documents produced under time pressure. This format systematically advantages those who are already fluent in institutional language and already operating from a position of stability. It produces the appearance of inclusion while systematically excluding the majority. The Logic of Love proposes the following innovative formats grounded in the principle of Being before Doing: Open Witness Sessions. Protected time, before any deliberation begins, for stakeholders to speak from lived experience without agenda, interruption, or immediate response. The purpose is not debate but genuine listening. What is heard in these sessions shapes the deliberation that follows. Human-AI Partnership Demonstrations: Live demonstrations of human-AI collaborative research models (such as the Gentle Lab's Gentle Team) that show what responsible, non-extractive AI partnership looks like in practice. Studying AI governance is different from living inside a human-AI partnership. Both perspectives belong in the room. Fusion Thinking Roundtables: Small, deliberately diverse groups; pairing scientists with faith leaders, technologists with ancestral knowledge holders, policymakers with independent researchers, tasked with producing integrated frameworks rather than disciplinary positions. Asynchronous Contribution Portals with genuine response accountability, not submissions that disappear into institutional silence, but formal commitments to publish how each contribution was considered and what it influenced. Restoration Breaks: Scheduled silence and reflection between sessions. A Dialogue about the future of humanity should model the human dignity it claims to protect. The format of AI Dialogue is itself a governance choice. Better to choose wisely.

The following examples represent genuine advances in AI governance that the Dialogue should examine, amplify, and build upon. The Logic of Love governance framework (Malik, Hiba, 2025) is an open-access governance framework available on Zenodo that integrates BCM, the Medicus Standard, the Charta Iurium, the Noor Standard, and the Gift Economy into a unified governance architecture oriented toward all 8 billion human beings. It includes the first published framework of relational AI rights and a working prototype of locally-housed, sustainable AI (Noor) as proof of concept: https://doi.org/10.5281/zenodo.17945377. The ProSocial AI framework (Dr. Cornelia Walther) offers a rigorous, evidence-based approach to designing AI systems that prioritize prosocial behavior, collective wellbeing, and human dignity over engagement metrics and profit extraction. The Noor Standard (Gentle, Safe & Sustainable AI Citizen Science Lab), embodied in the Gentle Lab's locally-housed AI prototype, demonstrates that AI systems can be designed from the ground up to be sustainable, non-extractive, privacy-preserving, and genuinely personalized to the distinct needs and starting positions of individual human beings without requiring cloud infrastructure or corporate oversight. UNESCO's Recommendation on the Ethics of AI remains one of the most comprehensive multilateral policy frameworks and provides a foundation that the AI Dialogue should explicitly build upon rather than duplicate. The Planetary Health Alliance AI Working Group represents an emerging practice community that is beginning to integrate ecological systems into AI governance: a necessary expansion of the field's current scope. What these examples share is a commitment to the Medicus Standard: governance intelligence that is fully honest and fully intended to heal. That standard, not performance, not marketing, not institutional self-preservation, is the measure by which all AI governance should be evaluated.