Artificial Intelligence (AI) Action Summit

• The AI Action Summit is a global forum that brings together world leaders, policymakers, technology experts, and industry representatives to discuss AI governance, ethics, and its role in society. 
• The AI Action Summit in Paris is the 3rd summit, following the Bletchley Park Summit (UK 2023) and the Seoul Summit (South Korea 2024).
  • Bletchley Park Declaration (28 countries): Advocated safe, human-centric, and responsible AI. 
  • Seoul Summit (27 nations): Reaffirmed international cooperation and proposed a network of AI Safety Institutes. 

Key Themes of Paris AI Action Summit 2025: 

• Public Interest AI: Developing open AI infrastructure for social, economic, and environmental benefits. 
• Future of Work: Ensuring AI’s responsible use through sustained social dialogue. 
• Innovation & Culture: Creating sustainable AI ecosystems, especially for creative industries. 
• Trust in AI: Establishing scientific consensus on AI safety and security. 
• Global AI Governance: Shaping an inclusive and effective international AI governance framework. 

Outcomes of the Paris Artificial Intelligence (AI) Summit 2025

• Joint Declaration on Inclusive and Sustainable AI: Joint Statement on ‘Inclusive and Sustainable Artificial Intelligence for People and the Planet’ was signed by 58 countries including India, China, EU,  except US and the UK (expressing concerns related to excessive regulations on AI). 
• Public Interest AI Platform and Incubator: Public Interest AI Platform and Incubator was launched to bridge public-private AI efforts, and promote a trustworthy AI ecosystem through capacity building in data, transparency, and financing. 
• Human-Centric AI and Global Priorities: The summit emphasized the need for ethical, safe, and inclusive AI, ensuring human rights protection while addressing AI-driven inequalities.
  • Global Priorities related to AI includes AI accessibility, transparency, job creation, sustainability, and international governance.  
  • It emphasized bridging the digital divide, ensuring AI safety, promoting green AI, and fostering global cooperation. 
• Alignment with Existing Multilateral AI Initiatives: The summit emphasized alignment with global AI initiatives, including UN General Assembly Resolutions, the Global Digital Compact, UNESCO AI Ethics Recommendations, the African Union AI strategy, and frameworks by G20,G7 and OECD
• India’ Stance: India advocated open-source and sustainable AI, emphasizing clean energy and workforce upskilling.
  • As the 2024 lead chair of the Global Partnership on AI (GPAI), it aims to establish GPAI as the central platform for responsible AI development. 

Outcomes of the 2nd India-France AI Policy Roundtable

• About:
  • The 2nd India-France AI Policy Roundtable was held alongside the AI Action Summit 2025 in Paris. 
  • It was organized by India’s Principal Scientific Adviser’s Office, IISc Bengaluru, IndiaAI Mission, and Sciences Po Paris. 
• Key Takeaways:
  • AI Governance & Ethics: Emphasis on responsible AI, equitable benefit-sharing, techno-legal frameworks, and AI safety.
    • Discussions covered Digital Public Infrastructure (DPI) for AI, AI foundation models, global AI governance, and AI’s role in tackling global challenges. 
  • Cross-Border AI Collaboration: Focus on data sovereignty, interoperable AI infrastructure, and sovereign AI models, addressing the lack of arbitration mechanisms for cross-border data flows. 
  • AI for Global Challenges: Integration of AI in multilingual models, federated computing, and solutions for global issues. 
  • Sustainable AI: Promotion of energy-efficient AI models and responsible computing practices to mitigate AI’s high energy footprint. 

Artificial General Intelligence (AGI)

• It is highly advanced and more capable than Artificial Intelligence (AI) used commonly.
• AGI envisions a broader, more generalised form of intelligence, not confined to any particular task.
• It aims to create machines that possess human-like intelligence across a wide range of tasks.
  • This includes reasoning, common sense, abstract thinking, background knowledge, transfer learning, ability to differentiate between cause and effect, etc.
• AGI aims to emulate human cognitive abilities such that it allows it to do unfamiliar tasks, learn from new experiences, and apply its knowledge in new ways.