Model card
A document published with a model describing what it is for, how it was trained and evaluated, known limitations and risks, and where it should not be used. Read one before adopting a model; note what it leaves out as well as what it says.
Related terms
An event where an AI system causes or nearly causes harm, such as a chatbot giving customers wrong refund terms or an …
AI safetyThe field concerned with preventing harm from AI systems, from everyday failures such as biased or false outputs to se…
AI text detectorA tool that claims to tell whether text was written by AI. They are unreliable: they produce false positives, particul…
Adversarial exampleAn input subtly altered to fool a model, such as an image with changes invisible to people that makes a classifier see…
AlignmentMaking an AI system's behaviour match the intentions and values of the people it serves, including in situations its d…
Automation biasThe human tendency to over-trust an automated system's output and stop checking it, especially when it is usually righ…
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