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.

A

• Accuracy
• Adversarial Testing
• Adverse Impact
• AI (Artificial Intelligence)
• AI Auditing
• AI Ethics
• AI Literacy
• AI Risk Management
• Algorithm
• Algorithmic Accountability
• Algorithmic Fairness
• Algorithmic Transparency
• Assurance
• Automated Decision System (ADS)
• Automated Employment Decision Tool (AEDT)

B

• Benchmarking
• Bias
• Bias Audit

C

• Certification
• Classifier
• Computational Statistics
• Cross Validation

D

• Data Ethics
• Data Governance
• Data Provenance
• Decision Intelligence
• Deep Learning
• Disparate Impact
• Disparate Treatment

E

• Efficacy
• Equality of Opportunity
• Equality of Outcome
• Ethical AI Framework
• Explainability

F

• F1 Score
• Fairness
• Feature Engineering
• Fine Tuning
• Foundation Models

G

• Generative AI
• Governance Framework
• Governance, Risk Management, and Compliance (GRC)

H

• Hallucination
• Human in the Loop

I

• Impact Assessment
• Impact Ratio
• Independent Auditor

L

• Large Language Model (LLM)
• Large Multimodal Model (LMM)
• LLM Agent?

M

• Machine Learning
• Model Bias
• Model Drift
• Model Explainability
• ModelOps

N

• Natural Language Processing

O

• Operationalization of AI

P

• Precision
• Predictive Analytics
• Predictive Model Markup Language (PMML)
• Privacy
• Protected Characteristics
• Proxy Discrimination

R

• Recall
• Red Teaming
• Regulatory Compliance
• Reinforcement Learning
• Reinforcement Learning through Human Feedback
• Responsible AI
• Robustness

S

• Scoring Rate
• Selection Rate
• Sentiment Analysis
• Stakeholder Engagement
• Summary of Results
• Supervised Learning

T

• Transparency
• Trustworthy AI

U

• Unsupervised Learning

V

• Validation and Testing
• Value Alignment

W

• What is AI Agent Governance?

X

• XAI (Explainable AI)