Summit Thematic Pillars

GSAIET2025 is structured around six core thematic pillars that address the most critical aspects of AI governance and emerging technology law:

  1. AI & Fundamental Rights

This pillar focuses on the intersection of artificial intelligence with fundamental human rights, addressing critical issues such as:

  • Transparency Requirements: Ensuring AI systems operate with sufficient transparency to protect individual rights
  • Bias Audits: Implementing comprehensive bias detection and mitigation strategies
  • Human-in-the-Loop Safeguards: Maintaining human oversight in AI decision-making processes
  • Privacy Protection: Balancing AI innovation with the protection of personal privacy rights
  1. AI, Accountability and Liability

This theme addresses one of the most complex challenges in AI governance:

  • Legal Attribution: Determining liability when AI systems cause harm or make erroneous decisions
  • Corporate Responsibility: Establishing frameworks for organizational accountability in AI deployment
  • Insurance and Risk Management: Developing new models for managing AI-related risks
  • Judicial Precedents: Creating legal frameworks for AI-related disputes
  1. Cyber-security & Autonomous Defence

This pillar examines the security implications of AI technologies:

  • Kinetic-Cyber Convergence: Addressing the intersection of physical and digital security threats
  • Autonomous Defense Systems: Regulating AI-powered security and defense applications
  • Drone Warfare Lessons: Learning from existing autonomous weapons systems
  • Critical Infrastructure Protection: Securing AI-enabled infrastructure against cyber threats
  1. Law for Decentralised & Quantum Tech

This theme addresses emerging technologies beyond traditional AI:

  • Zero-Knowledge Proofs: Legal frameworks for privacy-preserving technologies
  • Quantum-Secure Cryptography: Preparing for post-quantum cryptographic challenges
  • Blockchain Integration: Governing decentralized AI systems
  • Distributed Governance: Creating legal frameworks for decentralized technologies
  1. Digital Trade, Competition & IP

This pillar focuses on the economic and commercial aspects of AI governance:

  • Data Localization: Balancing global AI development with national data sovereignty
  • AI and Intellectual Property Rights: Protecting IP in AI-generated content and systems
  • Competition Law: Preventing AI-driven monopolization and ensuring fair competition
  • Trade Regulations: Harmonizing international trade rules for AI technologies
  1. RegTech & LegalTech Innovation

This theme explores the role of technology in legal and regulatory systems:

  • AI-Powered Compliance: Using AI to enhance regulatory compliance
  • Smart Contract Adjudication: Developing legal frameworks for automated contract enforcement
  • Digital Courts: Implementing AI in judicial processes
  • Regulatory Sandboxes: Creating safe spaces for AI innovation
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