adesso Blog

Artificial intelligence is set to transform our lives. The task of UX design is to strengthen trust in AI-driven software and, above all else, increase our quality of life in the future. The following blog post explores key questions and describes the best methods to find solutions to them.

The trustworthy characteristics of an artificial intelligence (AI) are addressed in the context of Trustworthy AI. The spectrum of requirements for Trustworthy AI ranges from the AI’s design to its functions, all the way to its operation. At this point, you’re justifiably asking yourself: where should we start, and where’s the end? A holistic framework is used to create an overview, which, in turn, can be broken down into small parts. In my blog post, I’ll briefly present such a framework and highlight individual aspects of it.

The business use of artificial intelligence is booming. Technology is already outperforming humans in certain tasks. Think, for example, of diagnosing diseases or reporting news. However, there are a number of ethical risks associated with the use of these kinds of smart autonomous systems. I would like to elaborate on that here.

Artificial Intelligence (AI) is applied in more and more areas, from virtual assistants to self-driving cars. At the same time, there is much discussion about its scientific, economic, social and political consequences. One thing is clear: AI is a many-headed creature with countless application possibilities. But which ones are best suited for your organisation?

There is a lot of talk about the 5G revolution, but what does it mean in practice? The new wireless network technology enables completely new applications, many of which are linked to Artificial Intelligence (AI) and industrial and business applications. Interesting? Let's zoom in on that.

Artificial intelligence within service processes will be used in 70 per cent of customer interactions by 2022. That is a considerable improvement on the 15 percent in 2018. And it's much needed, because everyone is horrified by helplines with long waiting times, continually entering the same data and ending up with a mess.