Bias in AI systems can emerge for various reasons, often stemming from the data used to train them or the algorithms employed. Here are a few well-known examples of AI systems where bias has been observed:
1. **Facial Recognition Systems**: Many facial recognition technologies have demonstrated racial and gender biases. For instance, studies have shown that some systems misidentify individuals from minority groups or women at a higher rate than


