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.
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)...
● 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.
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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