One bias they set out to avoid was visual priming—that is, humans asking questions about an image tend to ask questions to which the answer is yes. Humans very rarely ask “Do you see a tiger?” about an image in which there are no tigers. As a result, an AI trained on that data would learn that the answer to most questions is yes.
