Article 4 requires literacy — competent, informed use — not technical expertise. Like driving a car: know how to operate safely, understand rules, recognize problems. You don't need to build an engine.
AI Literacy vs. AI Expertise: What Article 4 Actually Requires
Understanding the Issue
Article 4 requires literacy — competent, informed use — not technical expertise. Like driving a car: know how to operate safely, understand rules, recognize problems. You don't need to build an engine.
This is a concern that affects businesses of all sizes. Small businesses may face higher relative impact because they have fewer resources to recover from AI-related problems. Understanding the issue is the first step toward managing it effectively.
The Literacy Standard
AI literacy means understanding enough to use AI tools competently, safely, and responsibly. It doesn't mean understanding the mathematics behind machine learning, being able to build AI systems, or having a computer science degree. The standard is practical competence, not theoretical expertise.
Think about financial literacy: a financially literate person can manage their money wisely without being an accountant.
What Literacy Includes
At its core, AI literacy includes: understanding what AI tools can and cannot do, knowing how to use them for their intended purpose, recognizing when output seems wrong or suspicious, following data handling and privacy rules, knowing when to seek help or escalate concerns, and understanding why AI governance matters.
These are practical skills that any motivated adult can learn, regardless of their technical background.
What Literacy Excludes
You don't need to understand how neural networks work, be able to write code, know the mathematics of machine learning, understand model architectures, or evaluate technical AI research. If someone on your team has these skills, great — but Article 4 doesn't require them for general staff.
Match training to the actual literacy standard. Over-training wastes time and can intimidate people who would otherwise engage well with practical AI skills.
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