3. AI-created information may be biased

AI systems are trained on large amounts of data that may contain bias or gaps. That means it may not reflect everyone's experience fairly. For example, an AI system that learned from information about people in the United States and parts of Europe might miss signs of depression. That's because it doesn't know that in some cultures, people show sadness through physical symptoms like headaches or tiredness, rather than talking about their feelings.