what is ai bias

What is Bias in Artificial Intelligence (AI)?

In today's digital age, the use of Artificial Intelligence (AI) is rapidly increasing. But did you know that AI can also be biased? Many readers have this question: what is AI bias. Simply put, AI bias occurs when an AI system or model makes unfair or unbalanced decisions based on the data it is trained on. This can lead to unintentional discrimination against certain groups or individuals.

For example, suppose an AI recommends college admissions based on entrance test scores. If its training data lacks adequate and accurate information about a particular community, the AI ​​may give students from that community less priority for admission. This is called AI bias.

The main reasons behind this are data quality, human bias in data collection, and flaws in algorithms. For example, if historically collected data is biased, the AI ​​system will likely replicate those biases.

How to Avoid AI Bias?

- Always use diverse and balanced data.
- Periodically review and update AI models.
- Include people from different social and cultural backgrounds on the team.

To learn more about AI bias, you can refer to Wikipedia: Algorithmic Bias.

Tip:

Whenever you use an AI tool or recommendation tool, be sure to use your common sense before relying on its suggestions. This will help you make informed decisions in your personal or professional life.