AI as a Fact-Checker

There is a fair criticism of AI, which is that it makes it trivial to generate confident-sounding rubbish at scale. We think that is true, and we also think it cuts both ways.

In our session we ran claims through AI tools and asked them to find the original source, note what was actually said, and flag where a statement had drifted from it. It is quick, and it is far more thorough than the check most of us do, which is none.

The habit matters more than the tool. Newsrooms, classrooms and businesses are all arriving at the same place: check before you forward. AI just lowers the cost of checking enough that there is no longer an excuse.

One caution we always add. The models are confident whether or not they are right, so the useful move is asking for sources you can open yourself, not asking for a verdict.

Used that way it becomes a second pair of eyes rather than an oracle, which is the only role worth giving it.

We cover this kind of practical scepticism in every cohort of the AI Innovator Program.