Definition ∞ Hidden prompts refer to subtle or obscured instructions embedded within data that can influence the behavior of an artificial intelligence model without being explicitly visible to a user. These prompts might be unintentionally present or deliberately concealed to manipulate outputs. Their presence can impact model fairness or security. They represent covert influences.
Context ∞ In the context of AI applications within digital asset markets or blockchain security, hidden prompts could potentially skew algorithmic trading decisions or compromise the integrity of automated auditing systems. Detecting and mitigating these latent influences is a critical area of research for ensuring the trustworthiness of AI in financial technology. Discussions often focus on explainable AI and robust adversarial training to counter such covert manipulations.
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