A research team is training a generative Al model to produce text summaries of news articles.

They want to ensure the generated summaries are accurate and do not propagate misinformation What approach should they take?

Train the model on a diverse dataset without fact$-$checking the generated summaries.

Incorporate fact$-$checking mechanisms to validate the accuracy of the generated summaries

Increase the moder's complexity to minimize the chances of generating misinformation.

Rely on post$-$publication correction mechanisms to address any misinformation generated by the model.