What can Generative AI do, for example:
• Create a summary, (re)write and translate texts.
• Create an information flyer.
• Generate software code.
• Write a film script or opinion piece, but also, of course, answer questions.

In addition to advantages, there are also disadvantages to this new technology. In particular, the datasets used, the trainings models, business interests, and ethical aspects will play a major role in further development and applications. However, many will have experienced the simplicity and power of this technology. If we use this technology properly, we can better solve problems such as labour market shortages, low productivity growth, the energy transition, and fake news.

In this academy solution, we explore the foundations of Generative AI in a non-technical way. You ask a question (text that you enter and is also called a ‘prompt’) and receive an answer. Generative AI interprets your prompt and creates an appropriate response. This is not only in terms of content (a kind of search result such as Google Search) but also in the form of generated composite texts. Generative AI predicts, as it were, the next most likely word in a sentence. It uses (public) texts and websites to train and produce answers to questions. However, it is only sometimes certain or clear to the user whether the facts the AI bases its answers on are correct. It is better to use data-driven organizing for this. This concept ensures a shared, assured, and accessible reality for reliable, rich data.