With AI, it's all about putting the user in control

This article is taken from the "Expert" section of Omalius magazine #36 (March 2025).

In early February 2025, the AI Act, the world's first general legislation on AI that frames its use and development came into force in Europe. As a specialist in human-machine interaction, does this new framework reassure you?

At UNamur, within my research group, we focus our work on the user side and his interaction with technology. When it comes to AI, we are particularly focused on this notion of transparency, which is reflected in the principle of the AI Act. How does AI make decisions? What data is it based on? What are its operating processes? Can it explain them? This need for AI transparency is of paramount importance to the user. For the time being, however, this is blocked from a purely technical point of view, essentially because of the gargantuan amount of data that AI uses to function, to train itself. At present, only experts are really capable of understanding how AI works. However, since AI is often a tool for the citizen, the need for transparency must also, and above all, be accessible to the citizen. At UNamur, a great deal of research is being carried out along these lines.

For example, you're working with doctors on the degree of trust they have in AI as part of their profession: what's it all about?

It's about an AI system that should, in particular, enable doctors to help them identify tumors on medical images. The challenge? For the doctor to know whether the answer provided by the AI is reliable, and how reliable it is. We are developing and testing this process with doctors. A process that will enable the AI to give them its degree of certainty. Early feedback shows that this transparency will be fundamental.

Today, are you confident in the way citizens are appropriating AI?

I'm fascinated by these emerging and multiple uses. Now, whether we're writing a greetings card, summarizing a text, organizing a meeting, making a cake recipe or writing an e-mail, we're turning to AI. I don't think we have any bad habits, but I'm more worried about the lack of awareness of the need for transparency in the way AI works. There's a need for information, awareness and education. We're working on this, including at UNamur. With this in mind, 24 colleagues and I have launched a course on the challenges and opportunities of AI, accessible to all university students, whatever their discipline. But this is very clearly an area that needs to be strengthened and accelerated so that it progresses at the same pace as the development of technology.

Another technology that's making inroads into the everyday life of the citizen, and which you're studying closely, is augmented reality: where do we stand?

Are we going to trade in our smartphones for smart glasses? The answer is most likely yes, and in the relatively near future! So I'm studying what's going to happen to the user when there's an extra digital layer grafted onto their environment, onto what they see. We mustn't leave this control exclusively to the tech giants, who all have such prototypes in the pipeline. My job is to find out how, from a technological point of view, we can give more control to the user. How can he filter what he sees? How can he define what information he wants to see, how much, etc.? Our aim is to give him the tools to keep control over these future augmented reality systems.

What kind of tools?

For example, we're developing techniques that allow the user to filter the elements they want to see in real time. At present, existing augmented reality tools give very little power to the user. We're working to reverse this trend. We're also making sure that this presence of augmented reality is for the benefit of the user, to enable them to better understand their environment.

More generally, does the technology adapt sufficiently to the user's needs?

No, too often the user just has to endure these technological developments. My approach as a researcher is the opposite: it's up to the system to adapt to user needs. Every development must be carried out in dialogue with the user. This is why our work lies at the crossroads of computer science research and principles inherited from applied psychology. Because we must, above all, understand how the user functions before we can develop technologies that are more relevant, more effective, more legitimate and better adapted.