Overcoming Bias in Generative Systems

Generative systems such as language models and image synthesis are revolutionizing various fields such as text generation, image creation, and speech synthesis. However, these systems are not immune to bias. Bias can arise in generative systems from multiple sources, including the data used to train the model, the algorithms used to create the model, and the specific prompts given to the model.