Prevention of undesired content in artificial intelligence applications

A system comprising:

• one or more processors to cause performance of operations comprising:
• processing, using one or more neuron layers of a model, an input to generate one or more hidden features;
• representing the one or more hidden features via a detection vector in a reduced-dimensionality compliance space;
• identifying, using the detection vector and one or more reference vectors in the compliance space, a first state of compliance, associated with the one or more hidden features, with a policy for the model;
• and
• responsive to determining that the first state of compliance is different from a second state of compliance, causing an output of the model to have the second state of compliance with the policy.

A system comprising:

• one or more processors to:
• process, using one or more neuron layers of a model, a first input to generate one or more hidden features;
• represent the one or more hidden features via a detection vector in a reduced-dimensionality compliance space, the compliance space comprising a plurality of clusters associated with respective states of compliance with a policy for the model;
• modifU, using the detection vector, at least one cluster of the plurality of clusters;
• and
• obtain, using the plurality of clusters, an output of the model for a second input.