Artificial Intelligence (AI) is a powerful tool, but it can sometimes be biased. This happens because AI systems learn from data created by people, and that data may include stereotypes or unfair patterns. For example, an AI trained mainly on images of men as “leaders” might wrongly assume women cannot be leaders. Bias in AI can affect things like search results, hiring tools, or even voice recognition. The good news is that by questioning results, using diverse data, and keeping humans involved in decisions, we can make AI fairer, more accurate, and more trustworthy for everyone.

• Be Aware – Notice that AI can make mistakes if it learns from unfair data.
• Use Diverse Data – Train AI on examples from many groups, cultures, and voices.
• Spot Stereotypes – Question results that repeat unfair labels or assumptions.
• Test and Check – Regularly review AI decisions to see if they are fair.
• Stay Human – Remember AI is a tool; people must make the final judgement.