The term AI safety is particularly relevant in the fields of artificial intelligence, cybercrime and cybersecurity as well as digital society. It deals with the question of how artificial intelligence (AI) can be developed and used safely so that no harm is caused to people or companies.
AI safety means that systems with artificial intelligence are designed in such a way that they do not perform any unexpected or dangerous actions. Precisely because AI now performs many tasks independently, it is important that these systems remain reliable, predictable and controllable.
An illustrative example: Imagine a self-driving car. To prevent this car from causing accidents or making the wrong decisions on the road, the AI developers must ensure that the system always works safely - even when unusual situations occur. This is part of AI safety.
AI safety is crucial for companies and society in order to create trust in new technologies and minimise risks from the outset. Those who invest in AI safety at an early stage not only protect themselves, but also customers and partners from unpleasant surprises caused by faulty or misused AI applications.