forklaringsbaserte
Forklaringsbaserte refers to approaches or systems that prioritize providing explanations for their outputs or decisions. Instead of simply presenting a result, a forklaringsbaserte system aims to make its reasoning process transparent and understandable to users. This can be particularly important in fields like artificial intelligence and machine learning, where complex algorithms can sometimes produce outcomes that are difficult to interpret.
The goal of forklaringsbaserte methods is to build trust and enable better understanding. By offering explanations,
In practice, forklaringsbaserte techniques can take various forms. They might involve highlighting the most influential input