Artificial Intelligence (AI) is everywhere. It helps us work faster, make smarter decisions, and even communicate more inclusively. But when using AI, especially within larger organizations, there’s a lot of responsibility involved. So how do you ensure AI works fairly? Transparently? And in line with existing (and upcoming) regulations?
That’s where an AI governance framework comes into play.
What exactly is such a framework?
Think of it as a set of rules. An AI governance framework helps you use AI responsibly. It defines how AI is deployed, who is responsible for what, and what to do when things go wrong. It’s about ethics, transparency, risk management, and legislation. Not a pile of policy documents, but clear agreements that guide the right decisions.
Why is this so important?
Especially in large organizations, AI is used more and more. Think recruitment, customer communication, internal processes. But what if the AI model unintentionally excludes people? Or if no one understands how the system made a decision?
Without clear rules, you run risks. Not just legal risks, but also reputational damage or unintended discrimination. And that’s something you want to avoid.
What’s included in such a framework?
A solid AI governance framework includes, among other things:
- Ethical guidelines – What do we as an organization find acceptable when it comes to AI?
- Transparency – Do we still understand how the AI makes decisions?
- Oversight and ownership – Who is responsible for what?
- Training and awareness – Does everyone know what AI does and what the risks are?
- Feedback and improvement – Are we learning from what we do?
In short: it brings structure to a rapidly evolving technology so you stay on track.
And what does inclusivity have to do with it?
At Textmetrics, we work every day with language and technology that doesn’t exclude anyone. AI relies on data, and data is not always neutral. A governance framework helps monitor these kinds of risks and ensures AI is used inclusively.
After all, you want your systems to treat everyone equally — whether they are customers, candidates, or colleagues.
Where do you start?
Start small. Map out where AI is already being used. Involve people from different departments: IT, legal, HR, communication. Ask questions like: Are we doing this responsibly? Can we explain it? What happens if something goes wrong?
From there, you can build. You don’t need a perfect framework right away — what matters is taking the first step.
We’re happy to think along with you
At Textmetrics, we help organizations make technology more human-centered. More inclusive, fairer, and future-proof. Whether it’s language, communication, or AI policy — we’re here for you.
Want to talk more about AI governance in your organization? Send a message to team@textmetrics.com and we’ll explore what fits best together.