2.3 Bias and discrimination

Prejudices and distortions (biases)

Caution is advised not only with regard to data protection and copyright, but also because the results of generative AI tools can be problematic due to prejudices and distortions, so-called biases, in the underlying data.

Video

The following section will address the most important traffic regulations and the traffic light exercise.

Now let's get down to practice. Check out the most important facts to consider when using generative AI tools regarding prejudices and distortions (biases) and assess various situations accordingly.

Don't see the activity as a test, but as an active exploration of what you have learned here.