What does prompt injection aim to do?

Prompt injection refers to the practice whereby specific input is designed to manipulate an AI model's behavior or output. This technique exploits how the model interprets input to achieve desired results, often bypassing the original intentions of the system. By crafting inputs that the model may inadvertently respond to in a certain way, a user can control the parameters of the response, thereby tailoring the output to fit specific needs or goals.

The other choices do not align with the concept of prompt injection. Enhancing model accuracy pertains to improving the overall performance of the AI, which is a separate consideration from controlling outputs. Optimizing data processing speed involves enhancing the efficiency of how data is handled and processed, which does not necessarily relate to how prompts are structured. Similarly, improving user interface design focuses on how users interact with the system rather than manipulating the underlying processes of an AI model. Thus, the essence of prompt injection lies in its ability to influence the output of a model through strategic input design.