What is Discernment in the context of AI Fluency?	The ability to thoughtfully evaluate what AI produces, how it produces it, and how it behaves.
How is Discernment related to Description?	Discernment is the "flip side" of Description; Description communicates intentions, while Discernment evaluates if the output meets needs.
Which type of Discernment evaluates the quality of the actual AI outputs?	Product Discernment.
What does Process Discernment focus on assessing?	How the AI arrived at its output, looking for logical errors, attention gaps, or inappropriate reasoning.
Which type of Discernment evaluates the AI's behavior during the interaction?	Performance Discernment.
Name four key criteria used when performing Product Discernment.	Accuracy, appropriateness, coherence, and relevance.
What specific issues should a user look for when applying Process Discernment?	Logical errors, attention gaps, or inappropriate reasoning.
What does Performance Discernment consider regarding the AI's interaction?	Whether its communication style is effective for the user's specific needs.
Why is human judgment and oversight necessary even with advanced AI systems?	To ensure that the AI collaboration remains guided by thoughtful human judgment.
How does having domain expertise enhance the ability to apply Discernment?	It enhances the ability to critically assess AI outputs by recognizing factual errors or misconceptions specific to that field.