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International Communication Organization (ICO)

Civil Society Global

Responses

In your opinion, what outcomes would make the first Global Dialogue on AI Governance a success?

A successful session must transition from "principles" to "operational frameworks." Success should be measured by: Human-in-the-Loop Standards: Reaching an agreement to use decentralized technologies (like ICOPC) to anchor real human accountability in AI content, effectively combating deepfakes. Capacity-Sharing Ecosystem: Launching a platform for the transfer of open-source governance tools, ensuring the Global South autonomously builds digital trust infrastructure. Interoperability Roadmap: Establishing a "Root of Trust" for cross-border authentication of media sources, respecting sovereignty while protecting cultural diversity. Ultimately, success means activating a governance ecosystem centered on human authenticity and multi-stakeholder cooperation.

From your perspective, which of the following thematic areas identified by the General Assembly Resolution 79/325 for the AI Dialogue reflect your priorities for urgent action and active engagement?

  • Safe, secure and trustworthy AI
  • Social, economic, ethical, cultural, linguistic and technical implications of AI
  • Interoperability of governance approaches
  • Transparency, accountability, and human oversight

Please briefly explain your selection.

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ICO prioritizes these areas because effective global governance requires identity credibility and operational trust: Transparency & Accountability: In the AI era, security depends on identifying information sources. We aim to transform "human oversight" into a traceable technical reality through our blockchain-based ICOPC authentication protocol. Interoperability: Governance must avoid digital silos. Through our Media Alliance, we promote cross-border compatibility of authentication standards, ensuring that trust is maintained as information flows across different legal jurisdictions. Safe & Trustworthy AI: By anchoring digital narratives in verified human identities, we reduce the risks of deepfakes and automated misinformation, fostering a safer information ecosystem. Socio-Cultural Implications: We address cultural impacts to prevent algorithmic biases from leading to cultural homogenization, fulfilling our mission to protect global linguistic and cultural heritage through inclusive technology.

In your opinion, are there any cross-cutting or emerging issues not captured by the listed themes above? If so, please explain.

7

ICO identifies three critical gaps that require urgent international dialogue: Hardware-Anchored Digital Identity: As AI-driven identity theft and deepfakes escalate, software-only solutions are insufficient. We advocate for the integration of Physical Hardware Encryption (e.g., NFC chips) with blockchain certificates. This "Phygital" approach is essential to protect the professional survival and physical safety of journalists in high-risk environments. Data Dignity for Cultural Heritage: Current AI training often involves unauthorized scraping of traditional cultural IP (e.g., historical artifacts, indigenous languages). We propose establishing Smart-Contract-Based Compensation Models to ensure that the economic and moral benefits of "Cultural Big Data" return to the originating communities, preventing "Digital Cultural Colonialism." Algorithmic Sovereignty & Information Blockades: There is a growing risk of platform algorithms covertly reshaping national information landscapes. We call for a transparent Algorithmic Grievance Mechanism to monitor and prevent technological "information blockades," ensuring that global discourse remains pluralistic and respects national information sovereignty.

How are the governance gaps and related developments/advances in the thematic areas you selected above affecting your country, region, or sector? Please highlight the most significant challenges.

The current governance gaps in AI—particularly the lack of universal standards for content origin and identity verification—are profoundly impacting the global media and non-governmental sector in the following ways: The Major Challenges: The Erosion of Professional Trust: The surge in AI-generated deepfakes and automated misinformation is overwhelming traditional fact-checking mechanisms. For our sector, the inability to distinguish between an authenticated journalist and a bot poses an existential threat to public discourse and organizational credibility. Digital Cultural Marginalization: In our region, AI models trained on biased datasets risk diluting traditional cultural narratives. Without robust governance, unique cultural intellectual property faces being "homogenized" or exploited without recognition. The Major Opportunities: A New Infrastructure for Trust: These gaps have catalyzed ICO to develop the ICOPC (Blockchain+NFC) system. This challenge has created a market and policy opening for a "Digital Root of Trust." We see an opportunity to lead the transition from passive content moderation to proactive Identity Authentication. Sustainable Collaborative Networks: The crisis has unified a diverse range of stakeholders. Our Global Media Alliance is leveraging this moment to build a sustainable, decentralized governance model that empowers the Global South, ensuring that AI tools are used to amplify, rather than suppress, diverse cultural voices. In summary, while the "trust gap" is a significant hurdle, it provides the strategic impetus to implement a hardware-software integrated authentication standard that can redefine information integrity for the next decade.

What role can the AI Dialogue play in advancing international cooperation on AI governance?

The Global Dialogue acts as a critical "Collaborative Accelerator" that transforms fragmented AI governance into a cohesive global strategy. Specifically, it can: Forge Technical and Ethical Consensus: It provides a unique platform to harmonize disparate standards. For ICO, the Dialogue is essential for establishing "Human-Authenticity" as a universal benchmark, moving beyond abstract ethics to concrete protocols like ICOPC. Legitimize Multi-Stakeholder Participation: By bringing non-governmental alliances, technical experts, and Member States to the same table, the Dialogue ensures that governance is not siloed within government halls. It legitimizes the role of organizations like the Global Media Alliance in the practical implementation of UN goals. Facilitate Proactive Crisis Management: In the face of rapid AI evolution, this Dialogue creates a "Rapid Response" network for identifying emerging risks, such as algorithmic interference in sovereign information environments, and co-developing mitigation strategies.

What are some of the existing initiatives, partnerships, or mechanisms that the AI Dialogue should build upon or connect with, and what added value could the AI Dialogue bring?

Synergies with Existing Initiatives: The Dialogue should build upon and strengthen the following: The Global Digital Compact (GDC): Serving as the practical implementation arm of GDC's commitment to information integrity. SDG 16 & 17: Aligning AI governance with the goals of building strong institutions and fostering global partnerships. UNESCO's Ethics of AI: Moving from the "Recommendation on the Ethics of AI" to technical verification mechanisms. Additional Value: The Dialogue brings a unique "Implementation Bridge" that existing frameworks often lack: From Principles to Protocols: While many initiatives provide "What" to do, the Dialogue (facilitated by stakeholders like ICO) provides the "How"—offering tangible tools like blockchain-based journalist authentication to verify information at the source. Inclusive Technical Transfer: It adds value by creating a direct channel for Capacity Building. It transforms governance from a "compliance burden" into a "technological upgrade" for the Global South, ensuring that the Media Collaboration Alliance can distribute trust-building tools to those who need them most. Dynamic Accountability: Unlike static treaties, this Dialogue offers a dynamic platform to continuously refine 问责制 (Accountability) standards as AI capabilities shift.

How can different stakeholders contribute to the AI Dialogue? Please share recommendations for the format and structure of the AI Dialogue.

Different stakeholders should contribute through a "Functional Co-governance" model rather than a purely consultative one: Civil Society & Alliances (like ICO): Should contribute technical standards and practical protocols (e.g., ICOPC) that serve as "blueprints" for official policy. Technical Experts: Should provide the "stress-testing" of governance frameworks against emerging AI capabilities. Structure Suggestion: The Dialogue should move away from traditional plenary sessions toward "Thematic Action Tracks." We suggest a structure that includes a dedicated "Media and Information Integrity Track," where multi-stakeholder alliances can demonstrate real-world authentication tools. This structure ensures that dialogue leads directly to the adoption of interoperable technical standards.

Which voices, communities, or perspectives are currently underrepresented in global discussions on AI governance? How could they be included?

Underrepresented Perspectives: Global South Media Practitioners: While large tech companies dominate the debate, small-to-medium media organizations in developing regions—who face the highest risks from AI-driven "Information Colonialism"—are often unheard. Cultural Heritage Custodians: Voices representing traditional cultural IP and non-mainstream languages are marginalized in algorithmic training debates. How to Include Them: Subsidized Decentralized Nodes: Establish regional "Consultation Hubs" that feed directly into the Geneva Dialogue. Institutional Sponsorship: Organizations like the Global Media Alliance can act as "Representative Aggregators," bringing the collective concerns and cultural nuances of hundreds of localized members into the UN forum. Linguistic Diversity Tools: Utilize AI-driven real-time translation and inclusive data models to ensure language is not a barrier to participation.

What innovative engagement formats could most effectively foster meaningful and dynamic engagement during the AI Dialogue?

To foster meaningful engagement, the Dialogue should adopt the following innovative formats: "Regulatory Sandboxes" for Stakeholders: Instead of just debating policy, the Dialogue should feature sessions where organizations (like ICO) can demonstrate Live Interoperability Trials. For example, a live demonstration of how ICOPC-authenticated content is prioritized and protected across different national digital frameworks. Virtual "Policy Hackathons": Engaging global technical and media talent to co-create open-source tools for AI transparency and human oversight during the Dialogue. The "Side Event" Showcase: Providing dedicated spaces for multi-stakeholder alliances to host "Trust Tool Exhibits," where delegates can physically interact with technologies like NFC-encrypted journalist credentials. This transforms abstract policy into tangible, adoptable solutions.

Please share examples of policies, practices, platforms, or approaches that promote effective AI governance or offer concrete solutions to addressing its challenges.

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The International Communication Organization (ICO) presents the ICOPC (International Certified Online-journalist Professional Credential) Protocol as a pioneering model for practical AI governance and information integrity. The "ICOPC + Alliance" Practical Model: A "Phygital" Authentication Pathway: Moving beyond mere digital signatures, this practice integrates Hardware Encryption (NFC chips) with Blockchain Ledgering. By issuing physical credentials that contain encrypted digital roots of trust, we provide a concrete solution to the "Identity Crisis" in the AI era. This ensures that information origins are verifiable, even as AI models become increasingly sophisticated at impersonation. The Global Alliance for Media Authentication and Cooperation (GAMAC): This platform serves as a multi-stakeholder governance bridge. It operates by decentralizing the "Trust Root," allowing media organizations, cultural entities, and technical communities to co-manage the verification standards. This prevents centralized control over information while ensuring cross-border Interoperability. Inclusive Capacity Building: A key policy pathway we advocate is the "Technology Transfer" model. ICO is actively implementing a program to provide these authentication tools to 500+ media outlets in the Global South by late 2026, transforming AI governance from a theoretical debate into an actionable, sustainable capacity-building movement. Conclusion: This practice demonstrates that effective AI governance is most successful when it combines Hard Technology (Blockchain/NFC) with Soft Governance (Multi-stakeholder Alliances). It provides a scalable, repeatable, and sustainable pathway for nations to protect their information sovereignty while remaining connected to the global digital ecosystem.