AI is everywhere, but understanding the language around it can feel like a whole different skill. From generative AI and LLMs to prompts and hallucinations, here are five essential AI terms explained.
Three AI4ALL voices took the stage at Women@Data Expo, bringing perspectives on women’s health, AI-ready workflows, and what it really takes to build AI agents. Three different talks, connected by one idea: when a solution doesn’t exist, sometimes you have to build it yourself.
Oliviana Bailey once saw herself as an “AI outsider.” Today, she’s the co-founder of AI4ALL and builds AI workflows to make work and everyday life easier. We spoke with her about finding your place in AI and becoming a builder in your own way.
Stefanie Taylor, AI4ALL Mentor and current Mentor Program Lead, and Irina Musuc, AI4ALL Mentor, on how a strengths-based approach helps women in tech recognize their potential and step into leadership.
Jana Wilhelmus is a fractional CMO, a TikTok creator with 43,000 followers, AI4ALL co-founder, and a mother of two — and she runs all of it with Claude doing the busywork in the background. But ask her where AI’s role ends, and she’s clear: it suggests, it never decides. Ahead of her September 2 AI Marketing workshop, she talks through where the line actually sits.
“You really have to go the other way around. So, start with the practitioner, start with the nurse, with the doctor, and then really understand their pain points”, says Anouk Wolters, AI Project Lead at KickstartAI. In this interview, Anouk explains how her team’s wound-reporting project with LUMC started not with an algorithm, but with the nurses who’d actually use it, and what that meant for how the tool was built.
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 the 2025 AI4ALL Summit, thought leaders, innovators, and change-makers gathered to explore how we can build an AI future that’s ethical, inclusive, and human-centered. From discussions on data bias and responsible regulation to AI literacy and mental wellbeing, the event highlighted that progress in tech must be shaped by diverse voices and grounded in real-world impact. Missed the event? Discover the key takeaways that are shaping the next chapter of AI.
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.
Before becoming a mentor, Roelof Vuurboom held leadership roles in large tech companies and built businesses of his own. For the past seven years, he has worked closely with early-stage founders, helping them cut through the noise and focus on what genuinely drives value.
“When people start a business, the biggest issue isn’t execution,” he says. “It’s clarity on what actually matters.”