AI Agents for Data Analysis with Shreya Shankar - #703
The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
Flexibility in Evaluative Standards
Research shows that human evaluators adapt their criteria for quality outputs based on the behavior of AI models. Initially, they may prefer no hashtags in outputs, but can later recognize the value of including them, demonstrating the dynamic nature of human judgment in response to AI behavior. Automated evaluation systems lack the capacity to adjust these evaluative preferences, highlighting the importance of human intuition in the evaluation process.
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