AI literacy for marketing teams using generative AI

Marketing teams sit at the intersection of two obligations

Marketing teams are often the heaviest users of generative AI — writing copy, creating images, producing video. This means they need training that covers both:

• Article 4: AI literacy (understanding how AI works, its limitations, safe use)
• Article 50: Transparency (labeling AI-generated content published to the public)

What to cover in marketing-specific AI training

AI literacy (Article 4)

• How generative AI produces text, images, and video
• Common failure modes: hallucinations, bias, inconsistency
• Brand and IP considerations when using AI-generated content
• Data hygiene: what can and cannot be entered into AI tools

Labeling awareness (Article 50)

• When AI-generated content must be labeled
• The difference between AI-assisted and AI-generated content
• How to apply labels by medium (text, image, audio, video)
• The editorial review exception for text on matters of public interest

Practical workflow

• How to decide whether content needs a label
• Where to place labels (caption, footer, metadata, spoken notice)
• How to log what was labeled and when
• When to escalate to legal or compliance

How to document it

Add a "Marketing AI literacy module" to your training record log. The module should cover both Article 4 and Article 50 topics. Record attendance like any other training.

What's next

For the labeling side, the Labeling Kit (€99) includes a full labeling guide, wording library, and workflow checklist. For the training side, the Literacy Pack (€99) includes a marketing-specific training deck.