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Record STMT-W222184Soft law

White Paper on Artificial Intelligence: a European approach to excellence and trust

White paper International lawEuropean Unionin force

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

European CommissionGovernment (executive)
Lead issuer
Legal forceSoft law
Under whose authorityInternational law
Judged fromfull text

Who it governs

General publicCompaniesAI developers and providersAI deployers and users

This document is for stakeholders across industry, research, and public administration interested in the European Union's regulatory and investment strategy for artificial intelligence.

Sectors
Cross-sector

What the document contains

What's covered

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.

What's missing

It does not contain final legislative text or legally binding regulations, as it functions as a consultative white paper preceding formal legislative proposals.

Key takeaways
  • 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.
Principles it states
Trustworthy AIExcellence and innovationHuman agency and oversightRobustness and safetyTransparency
Outline
· Foreword
· Introduction
· Ecosystem of Excellence: from research to industry
· Ecosystem of Trust: the policy framework for artificial intelligence
· Conclusion
Issued19 February 2020
Length504 words
FormatNot recorded
Scoperegional

How it scores

Pending review

Each score is backed by a quote verified against the document text. Editorial review has not yet confirmed them.

Accountability

0/5

Clear responsibility for AI outcomes

screening score · 2026-10-24

Fairness

0/5

Non-discrimination and equitable treatment

screening score · 2026-10-24

Human Dignity

0/5

Respect for the inherent worth of persons

screening score · 2026-10-24

Human Oversight

0/5

Humans remain in control of consequential decisions

screening score · 2026-10-24

Privacy

0/5

Protection of personal data and private life

screening score · 2026-10-24

Transparency

0/5

Openness about how AI systems work and are used

screening score · 2026-10-24

Enforcement

0/5

Consequences and compliance mechanisms with real force

screening score · 2026-10-24

Impact Assessment

0/5

Required assessment of an AI system's risks/impacts before or during use

screening score · 2026-10-24

Topics

artificial_intelligence trustworthy_ai data_governance risk_management regulation
White Paper on Artificial Intelligence: a European approach to excellence and trust · CEI AI Governance Database