AI Use at Work: Practical Training and Safety

The heise KI PRO Workshop offers a practical introduction to the professional use of AI. With two days of workshop and 12-month training, a comprehensive approach is taken to empower users to use AI technologies effectively and responsibly. The focus is on application in professional contexts, allowing participants to acquire not only theoretical knowledge but also practical skills. The workshop aims to provide a solid foundation for the use of AI in various industries while underlining the need for long-term training. In an increasingly digitalized world of work, the ability to understand and use AI systems is a crucial factor in professional success and adaptability to technological change.

However, the use of AI technologies requires not only knowledge, but also security and control. An example of this is the AI agent Muse, which can make purchases via WhatsApp, write e-m-mails and negotiate prices. Muse is monitored by a security agent to secure activities and minimize potential risks. This highlights the importance of security measures and the controlled application of AI to ensure both efficiency and trustworthiness. The integration of AI into everyday processes therefore requires not only technical competences, but also an awareness of the ethical and legal aspects.

The risks associated with AI are increasingly addressed in research and in the company. Employees at Anthropic warn of existential risks that could arise from the development of AI. One employee even announced because he believes that companies deliberately take risks. These concerns show how important it is to consider AI systems not only in their ability to perform tasks, but also in their security and controllability. The importance of transparency, responsibility and ethical use is increasingly being focused on to minimize the risks and maximize the benefits of AI.

Another example of the challenges of AI use is the use of deepfakes, where supposed doctors advertise fake products. Such technologies make it difficult to distinguish between real information and fraud, highlighting the need for critical engagement with AI systems. Users must learn to question AI-generated content while recognizing the benefits of technology. This requires a balance between innovation and security to minimize risks and maintain the trustworthiness of the technology.

## What this means for users The AI modules in xynap, such as the voice assistant and the LLM gateway functions, help users to use AI technologies responsibly and effectively.