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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
AI
Accuracy
AI Ethics
Algorithm
Assurance
B
Bias
Bias Audit
Benchmarking
C
Certification
Computational Statistics
Classifier
Cross Validation
D
Disparate Impact
Disparate Treatment
Data Ethics
Deep Learning
Data Governance
E
Efficacy
Explainability
Equality of Outcome
Equality of Opportunity
Ethical AI Framework
F
Fairness
F1 Score
Fine Tuning
Foundation Models
Feature Engineering
G
Generative AI
Governance Framework
Governance, Risk Management, and Compliance (GRC)
H
Hallucination
Human in the Loop
I
Impact Ratio
Impact Assessment
Independent Auditor
L
Large Language Model (LLM)
Large Multimodal Model (LMM)
M
Machine Learning
N
Natural Language Processing
O
Operationalization of AI
P
Privacy
Proxy Discrimination
Protected Characteristics
Precision
Predictive Analytics
R
Robustness
Reinforcement Learning
Recall
Responsible AI
Regulatory Compliance
S
Scoring Rate
Selection Rate
Summary of Results
Supervised Learning
Sentiment Analysis
T
Transparency
Trustworthy AI
U
Unsupervised Learning
V
Value Alignment
Validation and Testing
X
XAI (Explainable AI)
#
AI
#
AI Auditing
#
AI Ethics
#
AI Literacy
#
AI Risk Management
#
Accuracy
#
Adversarial Testing
#
Adverse Impact
#
Algorithm
#
Algorithmic Accountability
#
Algorithmic Fairness
#
Algorithmic Transparency
#
Assurance
#
Automated Decision System (ADS)
#
Automated Employment Decision Tool (AEDT)
#
Benchmarking
#
Bias
#
Bias Audit
#
Certification
#
Classifier
#
Computational Statistics
#
Cross Validation
#
Data Ethics
#
Data Governance
#
Data Provenance
#
Decision Intelligence
#
Deep Learning
#
Disparate Impact
#
Disparate Treatment
#
Efficacy
#
Equality of Opportunity
#
Equality of Outcome
#
Ethical AI Framework
#
Explainability
#
F1 Score
#
Fairness
#
Feature Engineering
#
Fine Tuning
#
Foundation Models
#
Generative AI
#
Governance Framework
#
Governance, Risk Management, and Compliance (GRC)
#
Hallucination
#
Human in the Loop
#
Impact Assessment
#
Impact Ratio
#
Independent Auditor
#
Large Language Model (LLM)
#
Large Multimodal Model (LMM)
#
Machine Learning
#
Model Bias
#
Model Drift
#
Model Explainability
#
Natural Language Processing
#
Operationalization of AI
#
Precision
#
Predictive Analytics
#
Predictive Model Markup Language (PMML)
#
Privacy
#
Protected Characteristics
#
Proxy Discrimination
#
Recall
#
Regulatory Compliance
#
Reinforcement Learning
#
Reinforcement Learning through Human Feedback
#
Responsible AI
#
Robustness
#
Scoring Rate
#
Selection Rate
#
Sentiment Analysis
#
Stakeholder Engagement
#
Summary of Results
#
Supervised Learning
#
Transparency
#
Trustworthy AI
#
Unsupervised Learning
#
Validation and Testing
#
Value Alignment
#
XAI (Explainable AI)
Utility Classes
A
A
A
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