Unfair outcomes due to biased training data.
Bias in AI refers to the unfair or discriminatory outcomes that may result from training data. It’s a critical concern in generative AI as it can lead to biased content generation.
Addressing bias in AI is essential for ensuring that generative models produce fair and inclusive content.