Discernment
What you'll learn
- Understand how to evaluate AI outputs and processes thoughtfully
- Develop critical thinking skills for your AI interactions
- Learn to identify and address quality concerns in your AI interactions
Key Takeaways
- Discernment is your ability to thoughtfully evaluate what AI produces, how it produces it, and how it behaves.
- Product Discernment focuses on evaluating the quality of actual outputs (accuracy, appropriateness, coherence, relevance).
- Process Discernment involves assessing how the AI arrived at its output, looking for logical errors, attention gaps, or inappropriate reasoning.
- Performance Discernment evaluates how the AI behaves within the collaboration process itself, considering whether its communication style is effective for your needs.
- Discernment works hand-in-hand with Description in a continuous feedback loop.
- Even the most advanced AI systems benefit from human judgment and oversight.
You Need
Your ability to critically evaluate what AI produces, how it produces it and how it behaves
- Domain expertise
- An understanding of how AI systems work and their typical shortcomings
Product Discernment
Your capacity to judge the quality of the AI output
- Factually accurate?
- Appropriate to auidence and purpose?
- Coherent and well-structured?
- Does it meet my requirements?
- Does it add value?
Process Discernment
Your capacity to judge the quality of the problem solving approach
- logical inconsistency
- Lapses in attention
- Inappropriate steps
- Getting stuck on one small detail
- Getting trapped in circular reasoning
Performance Discernment
Your capacity to judge AI behaviors
- Is the communication style appropriate?
- Is the information at the right level?
- Is the response to feedback appropriate?
- Is the interation efficent?
Effective Feedback
- Specifying the problem
- Clearly explaining why it is a problem
- Providing concrete suggestions for improvement
- Revising your instructions or examples
Downloads
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