Knowledge base

No certificate duty, but a record duty. Here is how to arrange it without legal jargon.

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Your child uses ChatGPT for homework. Panic? Not necessarily. When AI undermines learning, when it actually helps, and how to make good agreements about it at home.

Schools fall under article 4 of the AI Act like any other organisation. But they have a double role: making their own staff AI-literate and modelling responsible use to pupils. Where do you start as a school leader?

No staff, so no AI obligations? It is not that simple. Why Article 4 thinking is relevant for freelancers too, how to handle client data, and how to stand out with demonstrable AI skills.

AI sometimes invents facts, sources and quotes — fluently and with full conviction. Here is why it happens, when the risk peaks, and how to verify output before it causes damage.

Chances are your child already talks to AI chatbots: for homework, out of boredom, or just to chat. No reason to panic, but a good reason to talk. What do children actually use them for, what are the real risks, and how do you bring it up?

Can you freely use AI-generated text and images commercially? Who is the author? The honest answers are more nuanced than the confident claims you read online. The main lines, without legal jargon.

Fear of job loss, making mistakes or looking stupid blocks AI adoption in teams. Here is how to turn that fear into judgement — with practical steps for team leads.

AI tools are useful, but the moment personal data goes in, GDPR rules apply. What counts as personal data, why is pasting it into a free chatbot risky, and what are practical rules of thumb for you and your team?

The AI Act has separate rules for general-purpose AI. Those rules mainly target the companies that build the models, not you as a user. But a few things are worth knowing on the work floor too.

ChatGPT does not look anything up and knows nothing for certain: it predicts words. Grasp that one principle and you immediately understand why AI can be so impressive and so unreliable.

The AI Act requires human oversight for high-risk AI systems. But the principle behind it — a human who genuinely reviews, not just ticks a box — is worth gold for any AI use in any organisation.

Switching on an AI tool for the whole team at once sounds efficient, but usually creates a mess. Here is a calmer, safer route: take stock, set data rules first, pilot small, and only then scale up.

Anyone can fake a PDF certificate in five minutes. Open Badges and public verification pages solve that. What is the standard, how does verification work, and how do you check a certificate someone shows you?

You don't need to be technical to prompt well. With four building blocks — role, context, task and format — plus a few habits, you'll get noticeably more out of any AI tool within a week.

Article 4 of the AI Act asks for AI literacy, but prescribes no record-keeping system. Still, you want to be able to show what you did. What do you log, in what format, and how long do you keep it?

In many organisations, staff use AI tools that were never approved. Banning rarely works. This article explains why shadow AI happens, what the real risks are, and how organisations channel it constructively.

The classic tricks for unmasking AI images are ageing fast. So what does work? Think less pixel-peeping, more provenance checking — and learn the one skill that actually lasts.

An AI presentation is quickly arranged, but how much sticks after three months? Here is how to test AI knowledge in a way that means something: scenario questions instead of trivia, a clear pass threshold, refreshers, and honesty about what a certificate does and does not prove.

The AI Act classifies AI systems by risk: prohibited, high-risk, transparency obligations and minimal risk. Here is what each rung means for an ordinary workplace user.

The AI Act takes effect in phases: from the ban on certain practices and the literacy obligation in February 2025 to most remaining obligations in 2026-2027. What each phase means for a normal organisation.

From blindly trusting fluent text to pasting confidential data into a chatbot: these are the AI mistakes that show up in almost every workplace. With a concrete fix for each one.

AI can do impressively much — but reliably know what is true, check its own output, know your context or take responsibility? No. Whoever knows the limits uses AI better than whoever only sees the possibilities.

AI literacy is more than knowing what ChatGPT is. Here is what it actually means, the four components it consists of, and why it now matters for almost everyone.

An AI policy doesn't need thirty pages. Five components — scope, approved tools, data rules, human oversight and a review cycle — are enough for a policy people actually follow. Written from real-world practice.