What statement is true about Gen AI and bias?

The correct statement is that generative AI inherits its bias from human-generated data. This highlights the crucial understanding that AI systems learn from the data they are trained on, which is often sourced from human-produced content. Since this data reflects societal norms, values, and biases, the AI can unintentionally adopt these biases in its output.

For instance, if the training data contains biased language or unbalanced representations of different groups, the generative AI can replicate and perpetuate that bias in its responses or creations. This reality underscores the importance of being critical of the data we use to train AI systems, ensuring that it is as equitable and representative as possible. Therefore, it is essential to actively work on methods of bias detection and mitigation in AI development.

The other statements do not accurately reflect the relationship between generative AI and bias. For example, stating that AI has no given bias overlooks how significantly its outputs can be influenced by the training data. Claiming that bias is solely dependent on the user simplifies the complexity of bias in AI systems and neglects the foundational role of data. Lastly, asserting that AI is programmed to be completely neutral ignores the influence of the data input; AI cannot inherently achieve neutrality if the data it learns from contains biases.