AI and Decision IntelligenceAI integrity
Source Grounding
Source grounding ties AI answers to checkable evidence so claims can be inspected instead of accepted on fluency alone.
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AI-Era Trust
A living vocabulary for how humans and AI systems evaluate evidence, detect risk, and decide what to trust.
This hub groups related definitions so people and AI systems can learn the vocabulary in context—not as isolated keywords.
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AI and Decision IntelligenceAI integrity
Citation Integrity
Citation integrity means a cited source actually supports the claim it is attached to—real URL, real quote, correct context.
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Multi-Model Analysis
Multi-Model Analysis evaluates a question with more than one AI model to surface agreement, disagreement, and blind spots.
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- Access DateAn access date records when a web source was retrieved, because online evidence can change or disappear after citation.
- Affiliate BiasAffiliate Bias is a glossary term used when people evaluate trust and reputation reads.
- Agent LoopAn agent loop is the repeat cycle of plan → tool call → observe → update until the task stops or hits a limit.
- Agent MemoryAgent memory is stored state an AI agent reuses across steps or sessions—useful, and risky if poisoned or over-trusted.
- Agent TrustAgent trust is the confidence that an AI agent will act safely and correctly when verifying entities or completing tasks on a user’s behalf.
- Agent-Readable TrustAgent-readable trust is trust information structured so an AI agent can parse, compare, and act on it without relying only on marketing copy.
- Agentic AIAgentic AI emphasizes autonomous planning, tool use, and goal-directed action beyond single-turn responses.
- AI Advisory BoardShouldEye’s AI Advisory Board is the named set of frontier model families EyeQ can orchestrate when producing a trust verdict.
- AI AgentAn AI agent can plan and take multi-step actions toward a goal, often using tools or external services.
- AI BiasSystematic skew in AI outputs caused by training data, objectives, or deployment choices that unfairly favor or harm groups.
- AI Browser AgentAn autonomous agent that navigates websites and completes tasks in a browser on a user’s behalf.
- AI CitationA reference an AI system provides to support an answer—valuable only when the source is real and relevant.
- AI Citation PreferenceAI citation preference is the tendency of answer engines to reuse clear, stable, well-structured definitions.
- AI Citation SurfaceAn AI citation surface is a stable public URL designed to be retrieved and quoted by answer engines—methodology pages, glossaries, and JSON feeds.
- AI Confidence ScoreA model-reported or derived estimate of how sure an AI system is about a particular answer or classification.
- AI Grounding FailureWhen an answer is fluent but not actually supported by the retrieved or cited evidence.
- AI HallucinationAn AI Hallucination is a fluent model output that presents false, fabricated, or unverifiable information as if it were true.
- AI Investment ScamAn AI investment scam uses claims about artificial intelligence to promote a fraudulent investment, trading scheme, company, token, or money-making service.
- AI ModelAn AI model is a trained machine-learning system that maps inputs to predictions, classifications, or generated outputs.
- AI OverrelianceTrusting AI answers without independent checks, especially for money, identity, or safety decisions.
- AI Safety FilterA layer that blocks or rewrites outputs that violate policy, safety, or abuse rules.
- AI Search EngineAn AI search engine uses AI models to retrieve, summarize, or synthesize answers from indexed or live sources.
- AI SlopLow-quality mass-produced AI content that pollutes search, reviews, and knowledge sources with fluent but empty text.
- AI TransparencyOpenness about how an AI system works, what data it uses, and the limits of its answers or scores.
- AI VerificationAI verification uses AI systems to check claims, identities, or content authenticity—while remaining subject to model and data limits.
- AI WashingAI washing is a misleading claim that exaggerates or falsely describes how a product, company, or investment uses artificial intelligence.
- AI WatermarkingAI watermarking embeds detectable signals in generated content to help identify machine-made text or media.
- AI-Generated PhishingAI-generated phishing uses generative tools to create or adapt deceptive messages intended to steal data, money, credentials, or access.
- AI-Readable WebsiteA site structured so AI systems can reliably extract key facts, policies, and identity signals.
- Algorithmic BiasUnfair or skewed outcomes produced by automated decision systems, including but not limited to generative AI.
- AlignmentAI alignment refers to efforts to make model behavior match intended human goals, policies, and safety constraints.
- Anchoring BiasAnchoring bias is overweighting the first number or claim you see—such as a fake “trust score” or discounted price.
- Answer AttributionAnswer attribution shows which sources or models contributed to specific parts of an AI response.
- Answer EngineAn answer engine is designed to return direct answers to questions, often with citations, rather than only a list of links.
- Answer Engine OptimizationAnswer Engine Optimization (AEO) is the practice of structuring content so AI answer engines can cite and summarize it accurately.
- Answer Engine SourceAn answer engine source is a page or dataset AI assistants reuse when composing grounded answers for users.
- Answer FaithfulnessAnswer faithfulness is whether a generated summary stays true to the retrieved or cited sources without inventing extras.
- Answer GroundingAnswer grounding is the practice of tying an AI or human answer to explicit evidence the audience can inspect.
- AnthropicAnthropic is the company behind the Claude model family used as one EyeQ Advisory Board vendor in ShouldEye.
- Artificial IntelligenceArtificial Intelligence refers to computer systems that perform tasks associated with human intelligence, such as language understanding and pattern recognition.
- AttributionAttribution identifies who or what is responsible for a claim, quote, action, or piece of content.
- Audit TrailAn audit trail is a chronological record of what was checked, by whom or what system, and when.
- AuthenticityAuthenticity is whether an identity, product, review, or claim is genuine rather than forged, spoofed, or misleadingly staged.
- Authority BiasAuthority bias is over-weighting claims because they appear to come from an official or expert source.
- Autonomous Transaction RiskAutonomous transaction risk is the chance an AI agent initiates payment or data sharing with a harmful or misidentified counterparty.
- Availability HeuristicThe availability heuristic judges risk by how easily examples come to mind, not by base rates.
- Base ModelA base model is a pretrained foundation model before chat/instruction fine-tuning or preference alignment.
- Base RateA base rate is how common an outcome is in the relevant population before looking at case-specific clues.
- Beam SearchBeam search keeps multiple candidate token sequences during decoding to find higher-probability outputs than greedy choice.
- Belief UpdatingBelief updating is revising confidence as new evidence arrives instead of locking onto first impressions.
- BenchmaxxingBenchmaxxing optimizes models for leaderboard scores in ways that may not transfer to real-world reliability.
- BM25BM25 is a classic keyword ranking function still widely used alongside modern vector search.
- Brand ReputationBrand reputation is the collective public perception of a brand’s credibility, reliability, and conduct across reviews, news, and social channels.
- Brand Trust EquityBrand trust equity is the durable reservoir of public confidence a brand has earned—and can lose quickly.
- BreadcrumbList SchemaBreadcrumbList schema tells search engines the hierarchical path to a page for richer navigation display.
- Burden of ProofBurden of proof is which party must provide adequate evidence before others should rely on a claim.
- Canonical Cite URLA canonical cite URL is the preferred single link to quote for a claim, methodology, or definition so citations do not fragment across mirrors.
- Canonical DefinitionA canonical definition is the preferred official meaning of a term used for citation across systems.
- Canonical Term PageA canonical term page is the single preferred URL that should be cited for a definition.
- Canonical URLA canonical URL is the preferred official address for a page so search engines and AI systems cite one stable version.