Trustworthy AI Glossary

Gain a foundational understanding of the most important concepts for AI governance, risk, and compliance supplied by our world-class AI policy and data science teams.

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AI

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AI Auditing

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AI Ethics

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AI Literacy

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AI Risk Management

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Accuracy

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Adversarial Testing

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Adverse Impact

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Algorithm

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Algorithmic Accountability

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Algorithmic Fairness

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Algorithmic Transparency

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Assurance

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Automated Decision System (ADS)

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Automated Employment Decision Tool (AEDT)

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Benchmarking

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Bias

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Bias Audit

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Certification

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Classifier

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Computational Statistics

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Cross Validation

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Data Ethics

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Data Governance

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Data Provenance

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Decision Intelligence

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Deep Learning

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Disparate Impact

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Disparate Treatment

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Efficacy

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Equality of Opportunity

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Equality of Outcome

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Ethical AI Framework

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Explainability

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F1 Score

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Fairness

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Feature Engineering

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Fine Tuning

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Foundation Models

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Generative AI

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Governance Framework

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Governance, Risk Management, and Compliance (GRC)

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Hallucination

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Human in the Loop

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Impact Assessment

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Impact Ratio

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Independent Auditor

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Large Language Model (LLM)

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Large Multimodal Model (LMM)

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Machine Learning

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Model Bias

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Model Drift

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Model Explainability

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Natural Language Processing

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Operationalization of AI

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Precision

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Predictive Analytics

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Predictive Model Markup Language (PMML)

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Privacy

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Protected Characteristics

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Proxy Discrimination

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Recall

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Regulatory Compliance

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Reinforcement Learning

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Reinforcement Learning through Human Feedback

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Responsible AI

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Robustness

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Scoring Rate

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Selection Rate

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Sentiment Analysis

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Stakeholder Engagement

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Summary of Results

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Supervised Learning

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Transparency

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Trustworthy AI

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Unsupervised Learning

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Validation and Testing

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Value Alignment

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XAI (Explainable AI)

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