Building trust
in AI security

The use of AI harbors enormous potential for companies, which is shown by the figures relating to a key sub-segment of AI: machine learning (ML) and self-learning systems. According to studies, the global ML market is expected to grow ten-fold from the current level of around USD 15.5 billion to more than USD 150 billion in 2028. Many companies see tangible scaling opportunities with this technology and it is to be expected that, in the future, most products and services will either be AI-based or artificial intelligence will have been used in their development and/or manufacture.

However, when it comes to machine learning and other areas of AI, there is a growing focus on one aspect: trust in their security. This not only applies to the companies that use AI-based processes but also to the users, who only accept innovations and new technologies if they are convinced they are secure. At the moment, AI is still just a buzzword for many people, and the extent to which this technology is already used in our everyday lives is generally underestimated.

As a result, the TIC sector is also facing new challenges. For example, the use of AI-based systems is generating new customer and market needs, which still have not been adequately defined in regulatory terms. For these reasons, DEKRA is investing in the strategic expansion of the DEKRA AI Hub so that it can assume a pioneering role as a digital TIC player.

THREE QUESTIONS TO DR. TAREK BESOLD

In the following video, we talk to Tarek Besold about how to build trust in AI systems and what role DEKRA can play in this.