AI Literacy Must Include Civic Discernment

A convincing voice note arrives in a family group. A short video appears to show a public official saying something inflammatory. A chatbot gives a fluent account of an election dispute without revealing where its claims came from. A preacher repeats a dramatic story because it appears to confirm the sermon.

Each case looks like a problem of technology. At its centre is a problem of judgement. Can a person distinguish a claim from its evidence, information from persuasion, an official record from commentary and confidence from truth? Can that person pause before forwarding, disclose synthetic material, seek a trustworthy source and correct an error already amplified?

AI literacy is often reduced to knowing what a model is, writing an effective prompt or using a tool efficiently. Those capabilities matter and remain radically incomplete. In a world of generated media, recommender systems and conversational persuasion, AI literacy must include civic discernment.

Civic discernment is not partisan agreement and it is not suspicion of everything. It is the learned capacity to investigate public claims, recognise how attention is shaped, preserve lawful disagreement, protect vulnerable people and remain responsible for what one communicates. Schools, universities, theological colleges, churches, media institutions and governing bodies all have work to do.

On 15 August 2026, the Financial Times described the United States midterm cycle as an AI election. Its account…