Qualvin Advisory

A first Global Dialogue on AI Governance would be successful if it delivers concrete, widely backed outcomes rather than just speeches and a communiqué.

• Transparency, accountability, and human oversight
• Safe, secure and trustworthy AI
• AI capacity-building

In the telecom sector, safe, secure and trustworthy AI plus transparency/human oversight and human-rights protection are the most important, because telcos run critical infrastructure, process sensitive communications data, and are increasingly regulated as "high risk" AI deployers. Safe, secure and trustworthy AI: Telcos are national critical infrastructure; leading risk analyses now rank privacy, security and trust as the top risks facing telecoms, with responsible AI practices highlighted as a major gap. AI is embedded in network optimization, fraud detection and security monitoring, but is itself a target and tool for attackers, so secure, robust operation and trustworthy behavior are foundational; failures can cause systemic outages, surveillance abuses or national-security incidents. Transparency, accountability and human oversight: Telecom AI systems (e.g. traffic prioritization, automated customer treatment, credit scoring or fraud blocking) can have material impacts on access to communications, billing, and financial inclusion; opaque models make it hard to detect bias or errors. Ethical frameworks for AI in telecom stress human in the loop operation for critical decisions, clear operator override, and traceable decision logic as key safeguards.

Board-level AI governance means the board actively sets direction, risk appetite and oversight for how AI is used, rather than treating it as a purely technical matter. Directors must ensure AI supports strategy while controlling risks to safety, privacy, ethics, and reputation. This usually involves approving an AI policy, clarifying executive accountability for AI, and demanding visibility over high-impact systems through inventories, risk assessments, and regular reporting.

In Telcom Sector - Safety, security and trustworthy AI Many operators deploy AI for traffic management, fraud, and security without a mature AI risk framework, creating a gap between technical deployment and board‑level oversight. This raises exposure to cascading outages, exploitable model weaknesses, and compromised customer data, while regulators are starting to treat AI in networks as "high‑risk infrastructure", increasing compliance pressure

The AI Dialogue can become the practical coordination hub that links diverse national, regional and sectoral efforts into a more coherent global governance ecosystem. First, it can translate high‑level principles into interoperable practice by convening regulators, standard‑setters, industry and civil society to align around a common "minimum floor" of safety, security, human‑rights protections and transparency obligations, while allowing countries to go further where desired. This includes mapping how frameworks such as the EU AI Act, OECD principles and sectoral rules (e.g. telecom, finance, health) can mutually recognize each other and reduce compliance conflict. Second, the Dialogue can institutionalise technical cooperation: shared reference evaluations, incident‑reporting norms, model‑risk taxonomies and best‑practice repositories that regulators and firms can reuse rather than reinvent. This helps lower‑capacity states adopt credible safeguards quickly and supports cross‑border supervision of frontier models.

The AI Dialogue should plug into, not duplicate, the crowded AI‑governance landscape, adding coordination, inclusivity and implementation focus. Key initiatives to build on include: OECD AI Principles and the Global Partnership on AI (GPAI) – now spanning 40+ countries and widely used as the baseline for trustworthy AI policy. UNESCO Recommendation on the Ethics of AI and its Global AI Ethics Observatory, which provide a human‑rights‑centred normative framework and measurement tools. G7 Hiroshima AI Process and code of conduct for advanced AI, which offer voluntary commitments on frontier‑model safety and governance. EU, Council of Europe and regional efforts, including the EU AI Act and draft Convention on AI, plus regional digital compacts.

Siuggest a standard Two‑tier structure: A plenaries track for strategy, mission, policy and principles. A set of thematic working groups (e.g. safety, human rights, development, security, governance of frontier models) that meet regularly between Dialogues and produce draft tools and recommendations.

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