Which of the following statements best reflects the ethical considerations of contributors to the Transformer model in AI development?

Ethical contributors to the Transformer model must ensure that the data they use is diverse, representative, and free from harmful biases, because the model’s outputs can affect many people. They should also document their training choices and share code openly so others can audit and reproduce results, promoting transparency and accountability. By collaborating across disciplines—data scientists, ethicists, and affected communities—they can identify and mitigate risks such as privacy violations or discriminatory language. For example, if a dataset overrepresents one demographic group, a contributor might balance it with additional samples from underrepresented groups before training, preventing skewed predictions. This approach upholds fairness, protects privacy, and builds trust in AI systems.