Bias Configuration refers to setting parameters in AI systems to reflect certain decision-making tendencies, such as aggressive or conservative investment styles. In Olympus AI, bias configuration can be applied to simulated agents to replicate human behavioral traits like risk aversion or herd mentality. This helps in understanding how different biases influence market outcomes. In recruitment systems like Freddie AI, bias configuration might involve ensuring fair evaluation by eliminating historical hiring prejudices. While configuring bias is essential for realistic simulations or targeted outcomes, it must be done carefully to avoid unintended discrimination or skewed results. Ethical AI development focuses on balancing accuracy with fairness, transparency, and accountability in bias configuration.
