Mitigation for prompt injection in A.I. models capable of accepting text input

A method of instructing an artificial intelligence (AI) model configured to accept electronic text input comprising instructions including a sequence of tokens in response to an AI model prompt and to perform deep learning to produce human-like text responsive to the instructions, the method comprising:

• applying, by a processor, reinforcement learning (RL) during operation of the AI model to the instructions to determine electronic trusted instructions and electronic untrusted instructions from the electronic text input provided responsive to the AI model prompt;
• electronically tagging, by the processor, the electronic trusted instructions with a trusted tag and electronically tagging the electronic untrusted instructions with an untrusted tag, the trusted tag and the untrusted tag being represented by token vectors respectively indicating a trusted or untrusted source of the sequence of tokens, wherein the trusted tag and untrusted tag are respectively indicative of a type of instruction including at least a trusted instruction represented by a first token set adapted to be executed by the AI model to produce trusted human-like text responsive to the trusted instruction and an untrusted instruction represented by a second token set incompatible with the first token set and adapted to not be executed by the AI model;
• applying, by the processor, RL to modify the instructions including the sequence of tokens provided in response to the AI model prompt to indicate that instructions tagged with the trusted tag and represented by the first token set are to be obeyed and that instructions tagged with the untrusted tag and represented by the second token set are to be disregarded and to remove instructions tagged with the untrusted tag from the sequence of tokens provided responsive to the AI model prompt to create instructions to the AI model that are influenced by the instructions tagged with the trusted tag but not influenced by the instructions tagged with the untrusted tag;
• and
• executing, by the AI model, the instructions in the electronic text input that has been tagged with the trusted tag to provide the trusted human-like text.