WHAT “AI LITERACY” REALLY MEANS
You can include “AI literacy” as a job requirement on your next posting (and such postings have tripled in 2025), but it will be meaningless unless you have a clear sense of what you’re looking for. You’re probably not seeking someone who knows how to code or holds a tech certification. You’ll be better off hiring someone who understands how AI fits into the job you’re hiring for or is willing to experiment to discover what AI tools can do for them, what they can’t do, and how they can use them effectively without crossing legal or ethical lines.
At its core, AI literacy combines four key competencies: Awareness Knowing AI’s strengths, weaknesses, and risks, including bias, hallucination, and privacy implications. Application Using AI tools to draft content, analyze data, or streamline workflows while maintaining human oversight. Adaptability Staying curious, experimenting safely, and learning as tools evolve. Accountability Knowing when to question, verify, or override AI output.
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