CEIAI Governance Database
Back to the database
Record STMT-W91DE70Soft law

Artificial intelligence, human rights, democracy, and the rule of law: a primer

Report Institutional policyCouncil of Europein force

This primer introduces the main concepts and principles presented in the Council of Europe's Ad Hoc Committee on Artificial Intelligence (CAHAI) Feasibility Study for a general, non-technical audience. It provides background information on AI innovation, human rights law, technology policy, and compliance mechanisms to facilitate broad stakeholder consultation. The document maps out how CAHAI's nine proposed principles and priorities connect to specific human rights and obligations across the AI lifecycle.

Summary and content fields are drawn from the document text and are pending editorial review.

Who issued it

The Alan Turing InstituteAcademic · GB
Lead issuer
Council of EuropeIntergovernmental
Publisher
Legal forceSoft law
Under whose authorityInstitutional policy
Judged fromfull text

Who it governs

General publicNational governmentRegulatorsResearchers and academics

This document is designed for a general, non-technical audience, policy-makers, and stakeholders seeking to understand and participate in consultations on AI governance and human rights.

Sectors
Cross-sector

What the document contains

What's covered

This primer covers basic technical concepts of machine learning and the AI lifecycle, introduces human rights frameworks related to AI, examines opportunities and risks of AI across various domains, and outlines proposed principles, legal instruments, and compliance mechanisms for AI governance.

What's missing

The text does not provide final enacted legislation or binding statutory rules, but rather discusses options and recommendations for future legal frameworks.

Key takeaways
  • Rapid advancements in AI present both significant societal benefits and critical risks to human rights, democracy, and the rule of law.
  • Existing legal regimes are currently inadequate for safeguarding basic values against AI-specific harms while fostering trustworthy innovation.
  • The CAHAI Feasibility Study proposes nine cross-sectoral principles and priorities as an anchor for a values-based legal framework.
  • Future regulatory approaches will likely require a combination of binding and non-binding instruments, supported by practical compliance mechanisms such as impact assessments and audits.
Principles it states
Human DignityHuman Freedom & AutonomyPrevention of HarmNon-Discrimination, Gender Equality, Fairness & DiversityTransparency and Explainability of AI SystemsData Protection and the Right to PrivacyAccountability and ResponsibilityDemocracyRule of Law
Outline
· 01 INTRODUCTION
· 02 HOW DO AI SYSTEMS WORK?
· 03 HUMAN RIGHTS, DEMOCRACY, AND THE RULE OF LAW
· 04 OPPORTUNITIES AND RISKS OF AI/ML AND THEIR IMPACTS ON HUMAN RIGHTS, DEMOCRACY, AND THE RULE OF LAW
· 05 PRINCIPLES AND PRIORITIES FOR A LEGAL FRAMEWORK
· 06 LANDSCAPE OF LEGAL INSTRUMENTS
· 07 PRACTICAL MECHANISMS TO SUPPORT LEGAL FRAMEWORK
· 08 CONCLUSION
· 09 APPENDICES
Issued29 March 2023
Length19,646 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

4/5

Clear responsibility for AI outcomes

All persons involved in the design and deployment of AI systems must be held accountable when applicable legal norms are violated or any unjust harm occurs to end-users or to others.

05 PRINCIPLES AND PRIORITIES FOR A LEGAL FRAMEWORK

screening score · 2026-10-23

Fairness

4/5

Non-discrimination and equitable treatment

AI systems must be designed to be fair, equitable, and inclusive in their beneficial impacts and in the distribution of their risks.

05 PRINCIPLES AND PRIORITIES FOR A LEGAL FRAMEWORK

screening score · 2026-10-23

Human Dignity

4/5

Respect for the inherent worth of persons

All individuals are inherently and inviolably worthy of respect by mere virtue of their status as human beings. Humans should be treated as moral subjects, and not as objects to be algorithmically scored or manipulated.

05 PRINCIPLES AND PRIORITIES FOR A LEGAL FRAMEWORK

screening score · 2026-10-23

Human Oversight

4/5

Humans remain in control of consequential decisions

Member States should require AI developers and deployers to establish human oversight mechanisms that safeguard human autonomy, in a manner that is tailored to the specific risks arising from the context

05 PRINCIPLES AND PRIORITIES FOR A LEGAL FRAMEWORK

screening score · 2026-10-23

Privacy

4/5

Protection of personal data and private life

The design and use of AI systems that rely on the processing of personal data must secure a person’s right to respect for private and family life, including the individual's right to control their own data.

05 PRINCIPLES AND PRIORITIES FOR A LEGAL FRAMEWORK

screening score · 2026-10-23

Transparency

4/5

Openness about how AI systems work and are used

Where a product or service uses an AI system, this must be made clear to affected individuals. Meaningul information about the rationale underlying its outputs must likewise be provided.

05 PRINCIPLES AND PRIORITIES FOR A LEGAL FRAMEWORK

screening score · 2026-10-23

Enforcement

4/5

Consequences and compliance mechanisms with real force

Member States must ensure that effective remedies are available under respective national jurisdictions, including for civil and criminal responsibility, and that accessible redress mechanisms are put in place

05 PRINCIPLES AND PRIORITIES FOR A LEGAL FRAMEWORK

screening score · 2026-10-23

Topics

artificial_intelligence human_rights democracy rule_of_law ethics