How to choose a tool

When you use generative AI, it is important to assess which tool you choose and whether it is appropriate for the task at hand. A tool is not automatically “good” or “bad” – this depends on the purpose of the use and the requirements for the result. Below are three key points to consider when you are thinking about using a tool :

1. What sources is the tool based on?
   Check whether you can see which data or sources the model has been trained on. Some tools only state that they have been trained on “publicly available information” without providing details. This can be relevant if you expect a high level of academic accuracy in the answers.
   
   
2. How up to date is the content?
   Generative AI models are trained on data up to a certain cut off date. If you are working with current topics, the answers may therefore lack the most recent knowledge. Some tools combine generative AI with internet searches to provide more up to date results.
   
   
3. Norms, values, and bias
   Generative AI output reflects the training data used to build the model. This means it may contain biases – for example cultural, linguistic, or value based biases – that influence the answers. It is important to think critically about which “worldview” the model represents.