Six principles for evaluating cognitive capabilities in AI models

(onlinelibrary.wiley.com)

1 points | by Terretta 5 hours ago ago

1 comments

  • Terretta 5 hours ago

    Worth reading the substance behind each of these:

    Principle 1: Be aware of your own anthropomorphic cognitive biases.

    Principle 2: Be skeptical of others' (and your own) hypotheses. Design control experiments for possible alternate strategies that could produce the observed behavior.

    Principle 3: Design novel variations of stimuli or benchmark items to test robustness and generalization.

    Principle 4: Be curious about mechanisms underlying performance.

    Principle 5: Consider performance versus competence.

    Principle 6: Analyze failure types, and embrace “negative” results.