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As soon as you open your LinkedIn, you’re presented with the equivalent of technological Hunger Games. While mastering the craft of AI literacy certainly belongs on the list of hot (and by all means, necessary) skills, this thirst for knowledge can easily cloud one’s vision about what’s important. You need to know how to think, how to raise questions and push back, how to connect the dots across domains, and how to position the technologies you use within the broader systems they operate in. If you’re not sure what skills actually matter and where to put your focus, this list might help you to find the right direction.

Prompting is easily the buzzword of our time. LinkedIn is flooded with the formulas, the techniques “you’ll ever need” and everyone seems to have cracked some secret code. But, if you haven’t needed AI until now, or somehow managed to hide yourself from it, asking what prompting actually is can feel awkward.
Do not worry! You haven’t missed the boat, and getting good at it is easier than it looks.

We’re so focused on celebrating the loudest achievements in AI that we seldom ask ourselves: what are the intentions behind these solutions? We assume that every breakthrough in artificial intelligence is meant to advance our species, either for our productivity, economic growth, or efficiency. While all these benefits are commendable, we shall not forget that our future requires more than that: decision-makers who aim to prioritize responsible and equitable use.

At AI4ALL, we’re always looking for ways to make AI more inclusive and transparent. That’s why we’re excited about DataChef’s newly launched LLM DutchRank.ai, a platform designed to show how well AI actually “speaks” Dutch.