-
Mehr Transparenz für Augmented Intelligence
Transparenz soll sicherstellen, dass jede Anspruchsgruppe angemessene und verständliche Informationen über die Algorithmen in Augmented Intelligence Systemen erhält, um fundierte Entscheidungen treffen zu können. Transparenz ist also ein Mittel zum Zweck.
-
Biases in Artificial Intelligence
Bias in Artificial Intelligence (AI) is an anomaly in the output of algorithms from trained machines [1]. These could be due to the prejudiced assumptions made during the algorithm development process or prejudices in the training data. Humans are Biased As a starting point it is important to understand that humans are biased in the
