As an AI language model, my training data has been carefully curated and filtered to avoid any intentional bias from big dedicated groups or individuals. My training data is derived from a variety of sources, including books, websites, and other text-based materials, and has been filtered to remove any potentially biased or inappropriate content.

In addition, my developers at OpenAI have implemented rigorous processes and controls to ensure that the training data is unbiased and that any potential biases are addressed promptly. These processes include ongoing monitoring and analysis of the training data to identify and address any biases that may arise.

Furthermore, OpenAI's training data curation policies are designed to be transparent and open to public scrutiny. The company has made public its process for filtering and selecting training data, and it welcomes feedback and input from the broader community to help improve its policies and practices.
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