Human-AI Collaboration Standards: Frameworks, Projects, Opportunities

Standards are becoming essential to the future of Human-AI collaboration. As AI systems become increasingly integrated into decision-making environments, the role of standardization is gaining strategic relevance, supporting trust, safety, interoperability, and transparency across applications. This webinar explores emerging Human-AI standards align with policy frameworks in Europe and globally, and how they influence innovation ongoing work.

Within this session, experts from the HumAIne and ENFIELD projects will present how these initiatives are contributing to the development and uptake of standards in Human-AI collaboration. The discussion will highlight project use cases, policy alignment, and the way standards shape technology design, deployment, and long-term sustainability. Participants will gain a clear understanding of current standardization activities, practical examples, and next steps in the evolving policy landscape.

Who should attend?

• Policy makers & public bodies: Understand the role of standardization in supporting trustworthy AI, interoperability, and safety in Europe.
• Industry & technology leaders: Discover how standards impact procurement, system design, and cross-border AI deployment.
• Researchers, engineers & innovators: Learn how Human-AI standards interact with project design, testing, and validation processes.
• Students & academics: Explore the broader global context of Human-AI standardization and its future impact on responsible AI development.