• Implementing Responsible AI-Systems is not as straightforward as it may initially seem. Despite the existence of theoretical concepts and general principles, translating Responsible AI into practice is a challenging endeavor.

• Artificial Intelligence is a diverse field, spanning multiple domains and use cases, which further adds to the complexity. As the result, many development teams tend to overlook the aspect of Responsibility in their AI projects.

• But with the increasing popularity of Responsible Tech and upcoming legislations concerning the regulation of AI-Systems like the EU-AI-ACT, Responsible AI is no longer a choice but a compliance every AI-System Provider should follow.