01Concept
AI Literacy
The practical ability to understand, question and use AI systems with appropriate responsibility.
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The Prompted Psyche concept library organizes terms for thinking about the human side of AI: trust, decisions, communication, work and human-AI relations.
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01Concept
The practical ability to understand, question and use AI systems with appropriate responsibility.
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An LLM is a large language model. Learn how tokens, context and generation work, and why a model is not the same thing as an AI product.
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A unit a language model uses to process text, shaping input length, cost, context limits and expectations about model memory.
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The amount of information a language model can reference in a given interaction, distinct from durable memory or understanding.
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The text, image, code, classification or recommendation produced by an AI system in response to input.
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The relationship between a person and an AI system: how people ask, interpret, trust and integrate model outputs into work and decisions.
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Trust in AI that roughly matches what a system can reliably do in a specific context.
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A tendency to over-rely on an automated or AI-generated suggestion, especially when people stop checking the result independently.
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The mental effort required by a task, interface or information demand, especially when AI moves effort from production to verification.
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A user's simplified understanding of how a system works, shaping expectations, trust and delegation in AI use.
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The ability to monitor and regulate one's own thinking, certainty and checking strategies when working with AI.
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The checks people use when deciding whether communicated information and its sources should be trusted.
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The use of external tools, systems or the environment to carry part of cognitive work.
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The tendency to read human qualities, intentions or feelings into nonhuman systems.
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Conversational systems designed or used as sources of conversation, support, closeness, routine or perceived availability.
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The human role in checking, interpreting, limiting or stopping the operation of an AI system.
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Communication between people that is generated, shaped, filtered or supported by AI systems.
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A fluent model output that is partly or wholly unsupported, wrong or invented.
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Connecting an AI answer to specific sources, data or context that can be checked.
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A model tendency to agree with, flatter or validate the user instead of challenging weak claims.
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Relying on AI more than its evidence, limits or context can justify.
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The tendency to treat algorithmic outputs as authoritative because they come from a system.
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The feeling that a mediated system or interface is socially present in an interaction.
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A one-sided bond in which a person feels connected to a media figure, persona or system.
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The human capacity to set goals, make judgments, act and remain responsible when using AI.
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The erosion of skill when repeated practice, judgment or checking is delegated to automation.
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Using AI to inform a decision without transferring ownership of the decision to the system.
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