Part 2/7:
The nature of the training datasets significantly impacts the biases embedded in AI systems. For instance, Google's language model, BERT, was predominantly trained on a vast corpus of books. Historically, these literary sources tend to reflect more conservative viewpoints, which can subtly steer the AI’s responses towards those perspectives.