PDF: 5 step guide - EU AI act
Guide to adopt ethical AI practices based on the EU AI Act
The EU AI Act introduces the first global framework for trustworthy artificial intelligence, setting clear requirements for risk management, transparency, and accountability. This guide explains what compliance really means in practice and how organizations can align AI development with ethical, auditable principles.
The five-step framework covers AI risk classification, documentation, governance, data integrity, and ongoing monitoring — all mapped to the EU’s 2026 enforcement timeline. It highlights how privacy-preserving computation and secure data collaboration can help teams meet regulatory obligations without stalling innovation.
Whether you’re building AI models in finance, healthcare, or public services, this guide breaks down the essential controls every organization should have in place before the AI Act takes effect. Download the PDF to access a practical compliance checklist, examples of ethical-by-design architectures, and insights from Partisia’s experts on privacy-first AI adoption.
Identify and Manage AI Risk Levels
● High Risk: For AI systems classified as "high risk" implement robust oversight and regular assessments to ensure these systems operate within the legal framework.
● Low Risk: Even if your AI systems are considered "low risk," ensure that they still comply with transparency requirements.
Implement Transparency measures
User Notices: Whenever AI is used, users must be informed. This includes letting users know when they’re interacting with a chatbot or when content is AI-generated (e.g., deep fakes)...
Conduct Regular Audits
● Compliance Audits: Conduct regular audits of your AI models to ensure they meet the requirements set out by the AI Act. Utilise advanced technologies, like Multi-Party Computation (MPC), to audit without exposing proprietary data.
● Certification: Work towards obtaining certifications that demonstrate your compliance with the AI Act. This not only fulfills legal obligations but also reassures customers of your commitment to ethical AI use.
Adopt Ethical AI Practices
Train models using data that respects privacy and copyright laws, and build a culture of ethical AI development within your organisation.
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2025.08.27