AI Law & Ethics Summit Europe 2026

The AI Law & Ethics Summit Europe 2026 convenes global policymakers, legal innovators, technologists, ethicists, and business leaders

Welcome to the AI Law & Ethics Summit Europe 2026 - The AI Law & Ethics Summit Europe 2026 convenes global policymakers, legal innovators, technologists, ethicists, and business leaders navigating the rapidly evolving landscape of artificial intelligence governance.

Taking place in Barcelona, Spain, this premier event explores how the EU AI Act, emerging global frameworks, and responsible innovation strategies are redefining accountability, trust, and compliance in the age of intelligent systems.

From legal interpretation and operational governance to transparency, bias mitigation, and ethical design, the summit bridges policy, practice, and principle - shaping a shared vision for human-centered AI across sectors.

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Who Should Attend

• Legal, Compliance & Regulatory Affairs Leaders
• AI Ethics & Governance Officers
• Policy, Risk, & Trust Framework Specialists
• Data Protection & Privacy Executives
• Corporate Counsel & Law Firm Partners
• AI Researchers, Developers & Product Managers
• Academic, NGO & Standards Experts
• Investors in Responsible AI & Emerging Tech

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Industries Represented

• Technology & Software Development
• Financial Services & Fintech
• Healthcare, Life Sciences & MedTech
• Telecommunications & Media
• Legal, Policy & Compliance Consultancies
• Manufacturing & Industrial AI
• Public Sector & Academic Institutions
• Data Governance & Audit Firms

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Key Themes

The EU AI Act and Global Regulatory Alignment

• Legal obligations, classification, and conformity assessments
• Harmonizing international AI regulations and risk tiers
• Implications for compliance, liability, and innovation

Governance, Accountability & Transparency

• Operationalizing AI ethics frameworks
• Documentation, audit trails, and explainability requirements
• Aligning governance with human oversight and trust principles

Ethical Design, Fairness & Bias Mitigation

• Building equitable data pipelines and algorithmic accountability
• Emerging standards for fairness, inclusion, and human rights
• Responsible deployment across sectors and societies

Data Protection, Privacy & Security

• Intersection of AI governance with GDPR and data sovereignty
• Secure model training, anonymization, and consent management
• Ethical considerations in biometric and generative data use

Corporate AI Strategy & Legal Risk Management

• Integrating AI compliance into enterprise risk frameworks
• Contracting and liability for AI-driven outcomes
• Role of general counsel in enabling ethical innovation

Cross-Sector Collaboration & Global Standards

• ISO, OECD, and UN-led AI ethics frameworks
• Interoperable trust marks and AI assurance mechanisms
• Building multilateral cooperation for responsible AI