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Kimberley van Ruiven · Responsible AI adviser for small and medium-sized businesses · Rotterdam
A human-centredfuture withtechnology
I build
AIyou canstand behind
The shape AI takes is a choice. Yours too. I researched AI bias at university, and I build AI systems. My focus is AI that makes sense for your organisation: I work with small and medium-sized businesses that want a human-centred future with technology.
About
A technical mind, a human lens
I’m Kimberley, a former IT consultant specialising in ethical AI and AI bias. I help small and medium-sized businesses adopt AI responsibly: from policy and training to systems I build myself. I build systems that shouldn’t need me, and I think through the questions others only ask once something has gone wrong.
AI doesn’t stand still, and neither do the rules: the AI Act rolls out through 2027, and every new tool in your organisation means weighing things up again. That’s why I stay available as a point of contact once a project ends.
I believe technology and humanity can go hand in hand, and that female perspectives are essential to how we build and use AI. Hence the Indonesian aksara and batik patterns moving through this site: a tribute to the Javanese roots my mother passed on to me. Curious how I work with AI myself? I set it out in full in how I work with AI.
My master’s research was on AI bias in hate speech detection: how algorithms meant to recognise online hate can turn out to be biased themselves. That research still shapes how I look at every AI system; see the research on GitHub. That academic grounding has stayed with me: for AI ethics inside organisations I work with the maturity model from Erasmus University, and my view of humane technology is shaped by the thinking of the Center for Humane Technology.
Services
AI Act readiness scan
A clear picture of the AI running in your organisation, what you already have in place, and what to sort out before 2 August. So you know exactly where you stand.
AI policy and training
In two weeks, a working AI policy and a team that can use it: clear ground rules, approved tools, and the AI literacy the AI Act asks of you.
Tailored AI solutions
From chatbot to workflow or web application: whatever eats your time gets automated, with the ethical choices already made.
Your AI point of contact
For every AI question that comes up: new tools, new rules, new opportunities. On a block of hours or a monthly retainer.
This is wonderful! I’m getting so much genuinely useful information out of it. I had no idea it could work this beautifully.
Work
Quiz: are you using AI, or is AI using you?
Five minutes of play, and a clear view of how much thought you actually give your AI use.
AI CO₂ calculator
The climate impact of your AI use in one minute, with greener alternatives. Based on published research.
Nectar, a privacy-friendly cycle tracker
All your data stays on your own device: no account, no server, and still real insight.
AI persona for content
A writing assistant trained on brand documents and voice notes: content that sounds like the client’s own voice.
Site rescued after malware
Over 100 suspicious files cleared out, plugins cleaned up, the site secured and its SEO improved.
Client portal system
Clients can follow live projects at a glance, with data kept strictly separate per portal.
Course platform
Lessons, students and progress in one place, without the cost of a learning platform.
Approach
We start with the question behind the question. Sometimes the answer is AI, sometimes it’s a better process; either way you get an honest answer.
Then I think ahead about what could go wrong. Data, privacy, bias and accountability come first with me, not as a footnote at the end.
Then I build what you need: something your organisation can use straight away, with the ethical choices already worked in.
And after that you’re not on your own. With a block of hours or a single session, you keep someone who knows your systems and doesn’t need the backstory every time.
Machine learning or generative AI: the difference determines the risk you’re taking
Why most AI problems are really architecture problems
The language model you’ve been using for years without knowing it
Growing up in AI ethics, and why you don’t need a perfect score
Technology that sees people, and the manifesto I hold my work to
What the AI Act really asks of you as a business owner (and what it doesn’t)
The client data you share with ChatGPT by accident
Algorithms built to spot online hate, that turn out to be biased themselves
How I labelled 1300 tweets and trained a BERT model that recognises hate speech
The books that shaped how I see AI and humanity
Before I started working with Kim, I had no idea how to get AI, and Claude in particular, to write in my own words. I thought it simply wasn’t possible. Kim showed me that it is.
Contact
Wondering what a human-centred future with technology would mean for your organisation? I’d be glad to think it through with you.