Defining AI Sovereignty at Tech Policy Design Institute

How to define and secure Australian AI sovereignty is a critical conversation. I’m glad government is bringing it forward. Capital city round tables are great but Australia’s regions also need to have a voice across multiple dimensions of the conversation – distinctive use cases, sovereign data sets, Indigenous knowledges, equitable access to opportunity, economic transformation, workforce capability, energy, water, etc. We aren’t standing still and waiting for the conversation to come to us — some of the most exciting engagement with AI is happening in our regional universities.

AI Sovereignty: Building Interconnected Regional Ecosystems I present a strategic framework for regional development through cooperative artificial intelligence ecosystems that balance sovereignty with international collaboration, and to preserve AI national or cultural self-determination within an evolutionary economic approach that emphasizes a kind of AI regional development considered on a planetary scale to protect against all forms of exploitation. AI sovereignty refers to maintaining control over critical infrastructure, data privacy, and the strategic direction of AI innovation, fostering self-reliance while still engaging with the global AI community. Regional ecosystems are crucial as they foster a concentrated environment for innovation, resource sharing, and talent development tailored to specific geographic and economic contexts. "Regional AI infrastructuralism" helps to consolidate efforts within a region, countries can pool resources, accelerate research, and develop AI solutions that address unique local challenges, such as optimizing agricultural practices for specific climates or enhancing healthcare services for regional populations. This localized approach minimizes external dependencies and builds resilience against global supply chain disruptions or technological monopolies. The "interconnected" aspect of these ecosystems is vital for maximizing their impact and preventing fragmentation. Interconnectedness means facilitating seamless data exchange (where appropriate and secure), collaborative research projects, shared infrastructure, and standardized protocols across different regional AI hubs. This collaboration can take many forms: Data Federations: Secure, privacy-preserving mechanisms for regions to share anonymized or synthetic data for AI training, accelerating model development without compromising individual sovereignty. Joint Research Initiatives: Collaborative projects between regional universities and research institutions to tackle complex AI challenges that benefit multiple regions. Harmonized Regulatory Frameworks: Developing compatible ethical guidelines and data governance policies to enable smoother cross-border AI deployments and partnerships. Shared AI Platforms and Infrastructure: Investing in common cloud platforms, supercomputing facilities, and open-source AI tools that can be leveraged by all participating regions, reducing individual costs and increasing collective capacity. This approach - an evolutionary economic perspective - ensures that regions can leverage the benefits of global AI advancements while safeguarding their unique interests and promoting sustainable, equitable development. https://lnkd.in/dMy_qXAq #AISovereignty #AIConnectivity #RegionalEcosystems #EvolutionaryEconomics

To me, capability without governance is a costly illusion in AI. UNESCO has introduced an AI Tools Radar that spotlights emerging tools for the public sector, media, and the judiciary, with responsible-use guidance. It was previewed at IGF 2024, and will be showcased in October at Global Media and Information Literacy Week in Colombia. That is a quiet but important step for institutions trying to adopt AI safely and transparently. I think this matters because most public AI projects fail for social reasons, not technical ones. People worry about bias, accountability, and how tools fit existing processes. A curated radar plus training and audit standards is how you lower risk and raise trust. If I were advising a ministry today, I would start with three moves: 1. Run a readiness assessment to map legal, data, and skills gaps. 2. Pilot with frontline staff in the loop, not around them. 3. Build auditability in from day one, so procurement and the public can see how decisions are made. I see this as the real work of AI in government, congruent with ethics and service quality, not a race to install the shiniest model. This is my perspective, I would love to hear where you have seen institutional AI succeed or stall. #AI #PublicSector #Governance #EthicalAI #GovTech #AIEthics

📢 New report from OECD - OCDE out: Governing with Artificial Intelligence – The State of Play and Way Forward in Core Government Functions (18 Sept 2025). AI can help governments: ✅ Automate and tailor public services ✅ Improve decision-making & detect fraud ✅ Enhance learning & efficiency for civil servants But risks are real: ⚠️ Skewed data = harmful decisions ⚠️ Lack of transparency = weakened accountability ⚠️ Overreliance = wider digital divides & reduced trust 🔎 The report analysed 200 AI use cases: ✔️57% streamline or tailor services ✔️45% enhance decision-making ✔️ 30% improve accountability & anomaly detection The message is clear: AI can transform government – but only with strong enablers, clear guardrails, and inclusive governance. 📖 Read the full report here 👉https://bit.ly/47WlB6c #AI #Governance #DigitalGovernment #ArtificialIntelligence #TrustworthyAI #PublicSectorInnovation #FutureOfGovernment #DigitalTransformation EU Science, Research and Innovation University of Amsterdam Economic.bg ECSA - European Citizen Science Association Università LUMSA Univerza v Mariboru Universidad Carlos III de Madrid Brand Media Bulgaria Albanian Institute for International Studies Ministria e Brendshme University of Exeter DEXAI Utrecht University ANSA Federica Russo

AI Sovereignty Plans for Small Nations and Island States This presentation provides a brief guide for national policymakers, government advisors, and development partners in small nations and island states seeking to design effective AI sovereignty strategies that strike a balance between autonomy and global and regional cooperation. Such cooperation is the essence of the age of AI that develops through different forms of connectivity in infrastructure, code, and content, and through partnerships and collaborations that harness the talents of many people working in diverse fields, who work together to advance AI for the social good. For small nations and island states, AI sovereignty extends beyond mere technological independence; it entails establishing robust frameworks to control their data, develop indigenous AI capabilities, and ensure ethical governance tailored to their unique cultural values and societal needs. This includes safeguarding national interests in the face of rapidly advancing global AI ecosystems, preventing digital colonization, and fostering local innovation. These nations often face unique challenges in the AI era, including limited financial and human resources, inadequate digital infrastructure, susceptibility to brain drain, and the complex geopolitical dynamics influenced by larger tech powers. Crafting an AI strategy that truly serves national prosperity and resilience requires navigating these intricate barriers while leveraging opportunities for niche specialization and regional collaboration. This preliminary guide offers a critical roadmap to navigate these complexities. It provides actionable insights and best practices specifically curated for resource-constrained environments, ensuring that small nations can build AI ecosystems that are both self-reliant and globally competitive. This presentation empowers policymakers, advisors, and development partners to develop sustainable AI strategies that protect national identity, drive economic growth, and contribute to a more equitable global digital future, proving that size does not diminish strategic importance in the age of artificial intelligence. https://lnkd.in/dxYMndC3 #AISovereignty #SmallCountries #IslandStates #NationalCulture #SustainableStrategies #DataColonialism

Europe stands at a critical inflection point for AI governance. The Center for AI and Digital Policy (CAIDP) has issued a strong statement urging the European Commission not to delay or reopen the AI Act under the forthcoming Digital Simplification Package. Their message is clear: regulatory “simplification” must not come at the cost of rights, safety, or democratic accountability. The AI Act represents years of careful deliberation to establish a rights-based, risk-sensitive framework for artificial intelligence. Reopening it now would risk weakening the very safeguards that make it a global benchmark — just as implementation and enforcement are most needed. As a member of the CAIDP network, I am closely reviewing these developments alongside colleagues who have long engaged with EU institutions to ensure AI governance remains aligned with fundamental rights and democratic values. CAIDP calls on the Commission and Member States to: -Resist deregulatory pressure and uphold the integrity of the AI Act. -Fully resource and activate governance bodies, especially the Advisory Forum. -Ensure civil society plays a meaningful role in oversight and accountability. As Annalena Baerbock recently reminded the UN General Assembly: “We must put in place governance that is both fast enough and fair enough to match the speed of innovation.” The EU’s leadership on responsible AI has inspired global frameworks from the G7 to UNESCO. Its credibility now depends on staying the course — not rewriting the rulebook. #AI #AIAct #EthicalAI #Governance #DigitalTransformation #Leadership Warren Bowles Merve Hickok @Grace S. Thomson 

The United States has rejected calls for global oversight of artificial intelligence at the United Nations General Assembly, sparking a heated debate about the role of international bodies in regulating AI. 🤖💻 The U.S. delegation, led by Michael Kratsios, the director of the Office of Science and Technology Policy, argued that centralized governance of AI would stifle innovation and undermine national sovereignty. 🌎 However, many world leaders, including Chinese Vice Minister of Foreign Affairs Ma Zhaoxu and Spanish Prime Minister Pedro Sánchez, emphasized the need for international cooperation on AI governance, citing the potential risks and benefits of the technology. 🌐 Some key points to consider: 1️⃣ The U.N. has launched a new body dedicated to AI governance, which will provide a platform for international cooperation and dialogue. 2️⃣ The U.S. has proposed an AI verification system to enforce the Biological Weapons Convention, which could be an important step towards regulating the use of AI in sensitive areas. 3️⃣ The global community is increasingly recognizing the need for a shared vision and common standards for AI development and deployment. As the use of AI continues to grow and evolve, it's essential for businesses, governments, and individuals to stay informed and engaged in the conversation about its governance and regulation. 💡 What are your thoughts on the role of international bodies in regulating AI? Should we prioritize national sovereignty or global cooperation? Share your perspectives in the comments below! 💬 #AI #ArtificialIntelligence #UNGA #GlobalGovernance #Innovation #Technology #Regulation 🔄 Share 👍 React 🌐 Visit www.aravind-r.com #AravindRaghunathan

We’re delighted to announce our latest AI-related developments. Our research team (Atis Migals, Oleksandra Yevdokymova, Slobodan Golusin, Aiym Sarmanova) has recently contributed to the preparatory work for the European Commission's new Apply AI Strategy, which sets the course for boosting AI adoption and innovation across strategic sectors. We worked on identifying impactful and scalable use cases for defence, energy, climate and environment, cultural and creative industries, and electronic communications. Through in-depth analysis, expert interviews and sectoral dialogues and workshops, we explored how AI can transform these industries and what’s needed to scale these technologies responsibly – from technical requirements and skills needs to ethical and legal frameworks. Find out more: https://lnkd.in/dikEjF_z #PPMIprojects #ApplyAI #DigitalTransformation #ApplyAIStrategy #BuyEuropean #AIfirst

AI governance is evolving fast, and the Global South is rewriting the story. 🌍 Across Africa and the Caribbean, governments, developers, and communities are coming together to design national AI strategies that reflect their local realities. In Kenya and Barbados innovation is emerging from the ground up — as small nations show how citizen-first strategies can turn constraints into opportunity. The future of AI governance will be driven by context, collaboration, and local knowledge.

The International Telecommunication Union has released 'The Annual AI Governance Report 2025: Steering the Future of AI', a comprehensive account of how international cooperation is shaping the global architecture of artificial intelligence governance. Published under the AI for Good initiative, the report examines how global standards, institutional coordination, and multistakeholder participation are driving the evolution of trustworthy and responsible AI. It captures the outcomes of the AI for Good Global Summit 2025, including the International AI Standards Exchange, where experts from ITU, ISO, and IEC convened to align technical standards with ethical imperatives. The report highlights key developments such as the creation of the AI Standards Exchange Database, which consolidates over 700 existing standards and technical reports, a major step toward harmonized, interoperable AI governance frameworks worldwide. Beyond the standards dialogue, the report showcases thematic initiatives on AI for Food Systems, multimedia authenticity, and sustainability metrics, while emphasizing inclusion, transparency, and practical testability as the foundation of future AI systems. It stands as both a global record and a roadmap for advancing responsible AI in every sector. A copy of the report is enclosed. #AIGovernance #AIforGood #TrustworthyAI #AIStandards #ResponsibleAI #GlobalAI #AIPolicy #SustainableAI P.S. This post is shared purely for academic discussion.