EU AI Act Compliance: Managing AI Risk and Accountability in Europe

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Understand your obligations under the EU AI Act and implement trusted AI governance with Interfacing’s Integrated Management System (IMS).

What is the EU AI Act?

The EU Artificial Intelligence Act (EU AI Act) is the world’s first comprehensive legal framework for AI systems. Adopted in 2024 and entering into force in 2025–2026, it sets out obligations for organizations that develop, deploy, or distribute AI systems in the European Union.

Its goal is to ensure that AI used in the EU is safe, transparent, traceable, non-discriminatory, and environmentally responsible. The Act applies to AI providers and deployers worldwide if their AI systems affect EU citizens or markets.

History and Impact

First proposed by the European Commission in 2021, the Act complements existing laws like the GDPR and the Product Liability Directive. It introduces a risk-based regulatory model:

Unacceptable risk: Banned AI uses (e.g., social scoring, real-time biometric surveillance).
High risk: AI used in healthcare, transportation, employment, education, safety systems — subject to strict conformity assessments.
Limited risk: Transparency requirements (e.g., chatbots, deepfakes).
Minimal risk: No specific obligation..

By mid-2026, companies marketing or operating AI in the EU must prove compliance with risk classification, governance, and documentation requirements.

Why it’s Needed

The Act addresses increasing concerns around AI safety, bias, intellectual property, and explainability. It aims to build trust by requiring:

AI governance and risk management systems (RMS).
Continuous compliance through post-market monitoring and auditing.
Registration of high-risk AI in the EU database.
Transparency to users about AI-generated content and decisions.
Human oversight and corrective actions for non-conformance.

Relevant Industries

Life Sciences & Pharma: AI used in clinical decision support or drug discovery must meet traceability and bias mitigation controls.
Aerospace & Defense: Predictive maintenance and autonomous systems require human-oversight and safety risk documentation.
Finance & Insurance: AI for credit scoring or fraud detection classified as high risk; transparency and audit logs are mandatory.
Manufacturing & Automotive: AI-driven inspection and robotics must follow quality and safety design principles.
Public Sector: AI tools for law enforcement or citizen services require ethical and data accountability frameworks.

Steps to Certification and Compliance

Classify the AI system
by risk category.
Establish an AI risk management framework
covering design, testing, and post-market monitoring.
Document and trace training data and models.
Implement human oversight and data-governance controls.
Conduct technical and ethical conformity assessments.
Maintain ongoing monitoring and incident reporting
throughout the AI lifecycle.
Register high-risk AI systems in the EU database and retain audit records.

Common Pitfalls

Treating compliance as a one-time certification rather than a living process.
Insufficient traceability of training data or AI model decisions.
Lack of alignment between AI ethics and corporate governance programs.
Manual documentation across disconnected systems, creating audit gaps.
Overlooking cross-framework integration (GDPR, ISO 27001, ISO 9001, etc.).

How AI and Interfacing Can Help

Interfacing’s AI-enhanced Integrated Management System (IMS) helps organizations manage the full AI Act compliance lifecycle:

Governance & Risk Management: Map AI assets, owners, risks, controls, and requirements in a single repository.
Automated Documentation: Generate policies, impact assessments, and audit reports via AI parsing and low-code forms.
Traceability & Explainability: Connect AI models to training data, outputs, and human review records.
Cross-Framework Alignment: Integrate ISO 27001, GDPR, and ethics policies for comprehensive compliance.
Continuous Monitoring: Leverage dashboards for AI risk scores, non-conformities, and corrective actions.

¿Por qué elegir Interfacing?

Con más de dos décadas de experiencia en software de IA, Calidad, Procesos y Cumplimiento, Interfacing sigue siendo líder en el sector. Hasta la fecha, ha prestado servicio a más de 500 empresas de talla mundial y consultoras de gestión de todas las industrias y sectores. Seguimos ofreciendo soluciones digitales, en la nube y de IA que permiten a las organizaciones mejorar, controlar y agilizar sus procesos, al tiempo que alivian la carga de los programas de cumplimiento normativo y gestión de la calidad.

Para obtener más información o hablar sobre cómo Interfacing puede ayudar a su organización, rellene el siguiente formulario.

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¡IA para transformar su negocio!

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• Responder a las consultas de los empleados.

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