β Library
EU AI ACT Made Simple
Willy Danenberg
EU AI Act Series
Progress5/54
1
Introduction
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What Readers Say
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Trademark, Copyright, and Legal Disclaimers
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Introduction
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Chapter 1 - Artificial Intelligence Becomes Critical Infrastructure
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Chapter 2 - The Regulatory Vacuum and Its Consequences
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Chapter 3 - Why the European Union Chose a Binding Legal Framework
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Chapter 4 - From GDPR to the EU AI Act
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Chapter 5 - Why the EU AI Act Matters Globally
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Chapter 6 - The Risk-Based Approach Explained
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Chapter 7 - Prohibited AI Practices
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Chapter 8 - High-Risk AI Systems
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Chapter 9 - Limited-Risk and Minimal-Risk AI Systems
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Chapter 10 - General-Purpose AI and Foundation Models
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Chapter 11 - Providers, Deployers, Importers, and Distributors
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Chapter 12 - Board-Level and Executive Accountability
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Chapter 13 - Legal, Compliance, Risk, and Audit Functions
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Chapter 14 - Software Developers and Data Scientists
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Chapter 15 - DevOps, MLOps, and Platform Engineering
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Chapter 16 - Risk Management Throughout the AI Lifecycle
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Chapter 17 - Data Governance, Training Data, and Bias
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Chapter 18 - Technical Documentation and Traceability
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Chapter 19 - Human Oversight and Control Mechanisms
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Chapter 20 - Transparency, Explainability, and User Communication
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Chapter 21 - AI Systems as Cybersecurity Assets and Targets
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Chapter 22 - Incident Management, Monitoring, and Resilience
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Chapter 23 - The EU AI Act and GDPR
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Chapter 24 - The EU AI Act, NIS2, DORA, ISO 27001, and Cybersecurity Frameworks
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Chapter 25 - Audits, Supervision, and Enforcement Under the EU AI Act
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Chapter 26 - Preparing the Organization for the EU AI Act
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Chapter 27 - Sustaining Compliance and Continuous Improvement
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Chapter 28 - Why Preparing for the EU AI Act Matters
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Chapter 29 - Making the EU AI Act Truly Simple
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Chapter 30 β The EU AI Act as a Long-Term Strategic Reality
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Annexes
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Why Audits Are Inevitable Under the EU AI Act
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Audit Versus Enforcement
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What Authorities Actually Look For
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Documentation as the First Line of Defense
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Traceability as an Audit Accelerator
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Common Audit Triggers
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Responding to Information Requests
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Demonstrations and Technical Explanations
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Internal Mock Audits
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The Role of Internal Audit and Compliance Functions
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Managing Inconsistencies
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Cross-Border and Multi-Authority Coordination
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Audit Stress and Organizational Behavior
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Why Audit Readiness Improves Operations
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Regulators as Stakeholders, Not Enemies
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Closing Perspective on Audit Readiness
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Annex J - Organizational Roles, Responsibilities, and Governance Models
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Annex L - Enforcement, Fines, and Realistic Exposure Analysis
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Annex M - A Practical Readiness Roadmap for Organizations
EU AI ACT Made Simple
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Chapter 1 - Artificial Intelligence Becomes Critical Infrastructure
Chapter 5 / 54
Chapter 1 - Artificial Intelligence Becomes Critical Infrastructure
From Optional Technology to Invisible Backbone
For many years, artificial intelligence was treated as a specialized technology. It lived in research labs, pilot projects, and innovation teams. It was something organizations experimented with, showcased in presentations, or used to optimize narrow tasks. When artificial intelligence failed, the impact was often limited. A recommendation engine suggested the wrong product. A chatbot misunderstood a question. A predictive model produced disappointing accuracy.
That era is over.
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