AI Ethics & Governance

Responsible AI by Design

Building trustworthy AI systems that respect fundamental rights, ensure transparency, and meet the highest ethical and regulatory standards across European industries.

EU AI Act CompliantISO 42001 AlignedGDPR CompatibleHLEG Trustworthy AIOECD Principles

Core Principles

Six Pillars of Trustworthy AI

Derived from the EU High-Level Expert Group on AI guidelines and operationalised through the EU AI Act and ISO 42001.

Fairness & Non-Discrimination

AI systems must treat all individuals equitably, avoiding bias based on race, gender, age, disability, or socioeconomic status. Algorithmic fairness is both a legal obligation under EU law and an ethical imperative.

Legal Basis

EU AI Act Art. 10, GDPR Art. 22, Charter of Fundamental Rights Art. 21

Transparency & Explainability

AI decision-making must be understandable to those affected. High-risk AI systems require meaningful explanations of automated decisions, enabling human oversight and accountability.

Legal Basis

EU AI Act Art. 13, GDPR Recital 71, DSA Art. 27

Human Oversight & Control

Humans must remain in meaningful control of AI systems, especially in high-stakes domains. The EU AI Act mandates human oversight mechanisms for all high-risk AI applications.

Legal Basis

EU AI Act Art. 14, ISO 42001 Clause 6.1, NIST AI RMF GOVERN

Privacy & Data Protection

AI systems processing personal data must comply with GDPR principles: data minimisation, purpose limitation, storage limitation, and data subject rights including the right to explanation.

Legal Basis

GDPR Art. 5, 6, 22, EU AI Act Art. 10, ePrivacy Regulation

Robustness & Safety

AI systems must be technically robust, accurate, and resilient against adversarial attacks, data poisoning, and model drift. Safety requirements are mandatory for high-risk AI systems.

Legal Basis

EU AI Act Art. 15, ISO 42001 Clause 8.4, IEC 62443

Accountability & Governance

Clear responsibility chains must exist for AI systems. Organisations must designate AI governance roles, maintain documentation, and establish redress mechanisms for those affected by AI decisions.

Legal Basis

EU AI Act Art. 16-29, ISO 42001 Clause 5, GDPR Art. 5(2)

EU AI Act — Article 5

Prohibited AI Practices

The EU AI Act establishes an absolute prohibition on certain AI applications that pose unacceptable risks to fundamental rights and democratic values. These prohibitions apply from 2 February 2025 — the earliest enforcement date of the Regulation.

Subliminal manipulation techniques that harm individuals

Exploitation of vulnerabilities of specific groups

Social scoring by public authorities

Real-time remote biometric identification in public spaces (with narrow exceptions)

Emotion recognition in workplace and educational institutions

Biometric categorisation inferring sensitive attributes

Predictive policing based solely on profiling

Enforcement Timeline

Aug 2024

EU AI Act enters into force

Feb 2025

Prohibited practices apply (Art. 5)

Aug 2025

GPAI model obligations apply

Aug 2026

High-risk AI systems (Annex I) apply

Aug 2027

High-risk AI systems (Annex III) apply

Penalties for violations of prohibited practices: up to €35 million or 7% of global annual turnover, whichever is higher.

Implementation

AI Governance Framework

A structured four-phase approach to implementing responsible AI governance aligned with EU AI Act, ISO 42001, and international best practices.

AI Governance Foundation

Establish AI Ethics Policy and Code of Conduct

Define AI governance roles: CAIO, AI Ethics Board, DPO

Map all AI systems in use across the organisation

Classify AI systems by EU AI Act risk categories

Implement ISO 42001 AI Management System

Risk Assessment & Impact

Conduct Fundamental Rights Impact Assessment (FRIA)

Perform Data Protection Impact Assessment (DPIA) for AI

Algorithmic bias testing and fairness evaluation

AI system security and adversarial robustness testing

Third-party AI vendor due diligence and assessment

Transparency & Documentation

Develop technical documentation per EU AI Act Annex IV

Create user-facing transparency notices

Establish explainability mechanisms for automated decisions

Maintain AI system logs and audit trails

Monitoring & Continuous Improvement

Implement post-market monitoring systems

Establish incident reporting and response procedures

Regular bias and performance audits

Stakeholder feedback mechanisms

Annual AI ethics review and governance update

Reference Frameworks

International AI Ethics Standards

EU Commission2019

Ethics Guidelines for Trustworthy AI

High-Level Expert Group on AI (HLEG)

Seven key requirements for trustworthy AI: human agency, technical robustness, privacy, transparency, diversity, societal wellbeing, and accountability.

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Binding Law2024

EU AI Act (Regulation 2024/1689)

European Parliament & Council

The world's first comprehensive AI regulation establishing risk-based requirements, conformity assessment, and enforcement mechanisms.

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ISO Standard2023

ISO/IEC 42001:2023

International Organization for Standardization

International standard for AI Management Systems, providing a framework for responsible development, deployment, and governance of AI.

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Framework2023

NIST AI Risk Management Framework

National Institute of Standards and Technology

Voluntary framework for managing AI risks across four core functions: GOVERN, MAP, MEASURE, MANAGE.

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International2021

UNESCO Recommendation on AI Ethics

UNESCO

Global normative framework on AI ethics adopted by 193 member states, covering human rights, sustainability, and peaceful coexistence.

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International2019

OECD AI Principles

Organisation for Economic Co-operation and Development

Five principles for responsible AI: inclusive growth, human-centred values, transparency, robustness, and accountability.

View Document

Our Services

AI Ethics & Governance Consulting

AI Ethics Policy Development

Drafting comprehensive AI ethics policies, codes of conduct, and governance frameworks tailored to your organisation and sector.

Fundamental Rights Impact Assessment

Conducting FRIA as required by EU AI Act for high-risk AI systems, identifying and mitigating risks to fundamental rights.

Algorithmic Bias Auditing

Technical and statistical analysis of AI systems for discriminatory patterns, with remediation recommendations.

AI Ethics Board Setup

Establishing and operationalising AI Ethics Boards with clear mandates, composition guidelines, and decision-making procedures.

Ethics Training & Awareness

Customised training programmes for technical teams, management, and board members on AI ethics and governance obligations.

Trustworthy AI Certification Preparation

Preparing organisations for CE marking, third-party conformity assessment, and EU AI Act compliance certification.

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Build Trustworthy AI in Your Organisation

Whether you are establishing your first AI ethics policy or preparing for EU AI Act conformity assessment, AI Ministry provides the expertise to guide your organisation through every step.