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Practical Generative AI with ChatGPT
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Whenever we deal with AI systems like LLMs, we must be aware of their associated risk of hidden bias, which derives directly from the knowledge base the model has been trained on.
Definition
Hidden bias, also known as implicit or unconscious bias, refers to the subtle and unintentional attitudes, stereotypes, or associations that influence a person’s perceptions and actions without their conscious awareness. These biases can shape behaviors and decisions in ways that reflect societal stereotypes, often leading to unintended discrimination. For example, someone might unknowingly associate leadership roles with men over women, which could impact hiring or promotion choices. In the context of LLM, hidden bias manifests in the model’s outputs when it reproduces or amplifies biases present in its training data, potentially leading to skewed or unfair responses. Addressing hidden bias is essential to fostering fairness...