Let’s take a look at some initial measures which are supporting governance but will also help with AI regulation. Why bother? Adding AI to your offerings or even developing an innovative AI product from scratch is exciting. But at the very moment you’re making your AI public or distribute it to partners and customers, it’s out there in the open. From that point in time onwards, it needs to adhere to the quality standards that your customers and the public expect.

Many of our favorite software projects, like Python, Jupyter or Tensorflow, provide helpful extensive documentation. Virtually every github project at least has a minimal README.md featured prominently. So what is the equivalent of that for a Machine Learning model?

AI is so clever these days. When I asked the model: “What do an electric guitar, a pacemaker, a climbing rope and a GPU have in common?” it presented a surprisingly clever and insightful answer.

Using AI in Human Resources might be harder than you think, as far as regulation is concerned.

Four emerging acts by the European Union will regulate Software Development. This will make it much more tedious to bring software to market in the EU.

The EU parliament passed the proposed changes to the emerging EU AI Act.

It’s important to deal with AI systems instead of models to become conformant with the EU AI Act.

The state-of-the-art in IT is always evolving, but AI regulation might change the game.