AI Literacy
Understanding and using AI matters. The deeper challenge is building capabilities that remain useful as technologies keep changing.
What AI Literacy means here
AI Literacy is the ability to understand what AI systems can and cannot do, use them effectively, evaluate their outputs, recognize limitations and make informed choices about their use. Dr. Khatani's public work treats AI Literacy as necessary but incomplete when technologies, interfaces and workflows keep changing.
From tool use to future readiness
Tool-specific competence can expire quickly. A more durable capability stack combines AI Literacy with critical evaluation, Responsible AI, learning agility, Futures Literacy and Strategic Foresight.
Futures Literacy →Responsible AI
AI capability should be paired with accountability, governance, privacy, social consequences and human judgment.
Responsible AI →Selected public writing
The AI Skills Race
Why fast-changing AI tools make foresight and learning agility increasingly important.
Read on Hashnode ↗Applied learning
Fiker Futures Academy connects AI Literacy with Futures Literacy, Responsible AI and applied foresight in professional and educational settings.
Explore Fiker Futures Academy ↗