White Paper on Artificial Intelligence: a European approach to excellence and trust
This White Paper sets out options on how to foster Europe's approach to artificial intelligence based on excellence and trust. It proposes a framework for trustworthy AI centered on key requirements such as data governance, transparency, human oversight, and robustness. The document also outlines policy options for building an ecosystem of excellence spanning from research to industry to boost EU adoption of AI.
Summary and content fields are drawn from the document text and are pending editorial review.
Who issued it
Who it governs
This document is for stakeholders across industry, research, and public administration interested in the European Union's regulatory and investment strategy for artificial intelligence.
What the document contains
The document covers policy options for stimulating AI investment and research across Europe, alongside a regulatory framework addressing high-risk AI use cases, data governance, and ethical requirements.
It does not contain final legislative text or legally binding regulations, as it functions as a consultative white paper preceding formal legislative proposals.
- The EU aims to create an ecosystem of excellence that supports the development and adoption of AI across the European economy.
- A complementary ecosystem of trust is proposed to address risks associated with certain AI applications without hampering innovation.
- High-risk AI applications should be subject to mandatory requirements including data quality, record-keeping, transparency, and human oversight.
- The European approach seeks to mobilize resources from public and private sectors to foster innovation and talent.
- Governance structures should include a clear framework for conformity assessment and testing before market deployment.
· Foreword · Introduction · Ecosystem of Excellence: from research to industry · Ecosystem of Trust: the policy framework for artificial intelligence · Conclusion
How it scores
Each score is backed by a quote verified against the document text. Editorial review has not yet confirmed them.
Accountability
0/5Clear responsibility for AI outcomes
screening score · 2026-10-24
Fairness
0/5Non-discrimination and equitable treatment
screening score · 2026-10-24
Human Dignity
0/5Respect for the inherent worth of persons
screening score · 2026-10-24
Human Oversight
0/5Humans remain in control of consequential decisions
screening score · 2026-10-24
Privacy
0/5Protection of personal data and private life
screening score · 2026-10-24
Transparency
0/5Openness about how AI systems work and are used
screening score · 2026-10-24
Enforcement
0/5Consequences and compliance mechanisms with real force
screening score · 2026-10-24
Impact Assessment
0/5Required assessment of an AI system's risks/impacts before or during use
screening score · 2026-10-24