**Unlocking Fair AI Decision-Making: Leveraging RAG Systems

Unlocking Fair AI Decision-Making: Leveraging RAG Systems to Mitigate Implicit Biases

In the pursuit of fairness and accountability in Artificial Intelligence (AI), a crucial aspect to address is the presence of implicit biases. These biases can creep into AI decision-making processes, leading to unfair outcomes in high-stakes applications, such as healthcare, finance, and law enforcement. One effective approach to mitigate these biases is by implementing Red- Amber-Green (RAG) systems.

What is a RAG System?

A RAG system is a risk assessment framework that categorizes potential issues into three colors:

1. Red: High-risk issues that require immediate attention and resolution.
2. Amber: Medium-risk issues that need monitoring and potential action.
3. Green: Low-risk issues that are considered safe and require no further action.

Leveraging RAG Systems to Mitigate Implicit Biases

To leverage RAG systems in AI decision-making, we can apply the following ste...

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