Knowledge MaxxingAI literacy
AI literacy is having enough practical understanding of how AI systems work and where they fail, to use, evaluate, or oversee them appropriately.
Prerequisite: Automation bias
What matters
A reviewer without basic AI literacy may not know what kinds of mistakes a model is prone to, undermining oversight even when their role technically requires it.
Example
A hiring manager who understands that a resume-screening model can inherit bias from its training data is better equipped to question its recommendations.
Common misconception
AI literacy is not the same as knowing how to code or build models; it's practical understanding of an AI system's capabilities and limitations, relevant to using it responsibly.
Recall question
Why can a lack of AI literacy undermine human oversight even if a review step exists?