In this article, you'll read about,
- why artificial intelligence must be trustworthy,
- what the requirements and guidelines are for this,
- and how Telekom supports customers in designing their applications accordingly.
Preventive medical check-ups are important – but often time-consuming and annoying. Because getting an appointment with a specialist takes time. In rural areas, there’s often no doctor's surgery in the immediate vicinity. Digital solutions for the healthcare system are intended to ease the burden here. For example, when all you need for a skin screening is an app and your smartphone: Take pictures, answer a few questions online, and send off the data – done. Artificial intelligence (AI) processes and evaluates the information, while medical specialists take care of the subsequent diagnosis and any recommendations for treatment.
It's a simple and straightforward service that can greatly improve medical care – provided patients take up the offer. The prerequisite for this is that they trust the service. In terms of data privacy and security, but also in terms of trusting that artificial intelligence will make at least as good a decision as a doctor. So, in addition to the issues of the hosting location in the case of cloud-based solutions or compliance with the GDPR, it is a question of how the AI arrives at its judgment or decisions and whether it delivers reliable and robust results.