Active Learning with Domain Experts, a Case Study in Machine Learning
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Active Learning with Domain Experts, a Case Study in Machine Learning
Classification Based on Explain-ability:
Suresh Samudrala • Machine Intelligence : Demystifying Machine Learning, Neural Networks and Deep Learning
An agent operating by ε-greedy will, most of the time—99%, let’s say—take the action it believes will bring it the greatest total reward, based on its limited experience so far. But ε of the time—the other 1%, for instance—it tries something completely at random.
Brian Christian • The Alignment Problem
These findings suggest that a reflective ap-proach toward the use of GenAI tools, which can lead to what prior work refers to as “pathways to non-reliance on AI” [ 20 ], is more likely to occur when knowledge workers have more confidence in doing the task without AI, or in evaluating AI responses. Our qualitative analysis (see Section 4.3) finds th... See more