Bias mitigation

Bias mitigation refers to efforts to reduce or eliminate biases in data or algorithms. It involves techniques to ensure that technology produces fair and equitable outcomes.

What are the considerations for using GPT in content moderation or filtering applications?

When considering using GPT in content moderation or filtering applications, it's crucial to evaluate the model's accuracy, potential bias, training…

8 months ago

How can organizations address bias in Generative AI outputs?

Mitigating bias in Generative AI outputs is a critical concern. Organizations can employ pre-processing techniques to identify and neutralize biases…

1 year ago