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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