AI Content Detection
Tools that claim to identify AI-written text. Unreliable in both directions, and worth knowing about mainly because somebody may point one at your content and draw a confident wrong conclusion.
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Tools that claim to identify AI-written text. Unreliable in both directions, and worth knowing about mainly because somebody may point one at your content and draw a confident wrong conclusion.
Google’s shorthand for Experience, Expertise, Authoritativeness and Trust — the qualities its raters look for. Not a score you can see, but a decent description of what makes content worth surfacing.
A saved set of prompts a team reuses so results stay consistent between people. The simplest way to stop everyone reinventing the same instructions badly.
When an AI states something false with complete confidence — an invented price, a policy you never had, a product you do not sell. The usual cause is that the correct fact was not available anywhere it could read.
A system that suggests what somebody might want next based on behaviour — the “customers also bought” of an online shop. One of the oldest commercial uses of machine learning.
Turning written text into spoken audio. Modern voices are convincing enough to be used for real narration, which raises its own questions about disclosure.
Keeping a person in the decision, either approving what the AI produced or handling the cases it flags. The usual sensible middle ground between doing everything by hand and trusting a machine completely.