DataTerminology.comEnsuring AI systems are trustworthy, transparent, compliant, and aligned with ethical and regulatory expectations
Domain: Data Management & Governance
Terms (241)
- ๐ง AGIEval
- ๐ค AI Alignment
- โ๏ธ AI Ethics
- โ๏ธ AI Governance
- ๐งญ AI Management Systems
- ๐งญ AI Risk Management
- ๐ก๏ธ AI Safety
- ๐๏ธ AI Slop
- ๐งญ AI Strategy
- ๐ญ AI Washing
- โฟ Accessibility
- ๐งญ Accountability
- โ Accreditation
- ๐ Accumulated Local Effects
- ๐ Affective Computing
- ๐ค Agentic AI
- โ ๏ธ Algorithmic Bias
- โ๏ธ Algorithmic Fairness
- โ๏ธ Alignment
- ๐งญ Alignment Funnel
- ๐๏ธ Anonymization
- ๐ข Anthropic
- ๐ง Artificial General Intelligence
- ๐ค Artificial Intelligence
- ๐ Artificial Intelligence Governance Professional
- ๐ฏ Artificial Narrow Intelligence
- ๐ง Artificial Super Intelligence
- ๐งฉ Assumptions
- ๐ Audit
- ๐งพ Auditability
- ๐ค Augmented Intelligence
- ๐ค Automated Governance
- ๐ฆพ Autonomous Agent
- ๐งญ Autonomy
- ๐ณ๏ธ Backdoor Attack
- โ๏ธ Bias & Fairness
- โ๏ธ Bias Mitigation
- โ๏ธ Bias and Fairness
- ๐ณ๏ธ Black-box Model
- ๐จ Breach Notification
- ๐ค CARE Principles
- ๐ก๏ธ CCPA
- โ๏ธ California Privacy Rights Act
- ๐ Carbon Footprint
- ๐ Causation
- โ Certification
- ๐ก๏ธ Certified Robustness
- ๐ก๏ธ Claude
- ๐ก๏ธ Common Criteria
- ๐ง Commonsense Knowledge
- โ Compliance as Code
- ๐ Confidential Computing
- ๐ Conformance
- ๐ Conformity Assessment
- โ Consent
- โ Consent Management
- ๐ก๏ธ Content Moderation
- ยฉ๏ธ Copyright
- ๐ Counterfactual
- ๐ Counterfactual Explanations
- ๐ Counterfactual Fairness
- ๐ฅ Crowdsourcing
- ๐ค Data Altruism
- ๐ต๏ธโโ๏ธ Data Anonymization
- ๐๏ธ Data Card
- ๐ Data Clean Room
- ๐ค๐ Data Collaboratives
- ๐ซฅ Data De-identification
- ๐ซฑ๐ฝโ๐ซฒ๐ฟ Data Decolonization
- ๐๐ค Data Diplomacy
- โ๏ธ Data Ethics
- โ๏ธ Data Justice
- ๐ชถ Data Minimization
- ๐ฐ Data Monetization
- ๐ซฅ Data Obfuscation
- ๐๏ธ Data Politics
- ๐ Data Portability
- ๐ Data Privacy
- ๐ก๏ธ Data Protection Officer
- ๐ Data Provenance
- ๐ชช Data Pseudonymization
- ๐ Data Space
- ๐งโโ๏ธ Data Subject Rights
- ๐๏ธ Datasheet for Datasets
- ๐ถ๏ธ De-identification
- ๐ต๏ธโโ๏ธ Deception
- ๐ก๏ธ Defensive Distillation
- ๐งฉ Deliberate Reasoning
- ๐ Demographic Parity
- ๐ Differential Privacy
- โ๏ธ Digital Rights
- โ๏ธ Discrimination
- โ๏ธ Disparate Impact
- ๐ Distribution Shift
- ๐ซ Do Not Sell
- ๐ข EU Agency for Cybersecurity
- ๐ง Epistemology
- ๐ Epoch AI
- ฮต Epsilon
- ๐งฎ Equalized Odds
- ๐๏ธ European Data Innovation Board
- ๐งญ European Strategy for Data
- ๐ญ Evasion Attack
- ๐ Evidence
- ๐ Explainability
- ๐งญ Explainability Dashboard
- ๐ FIPS 140-3
- โ๏ธ Fairness
- โ๏ธ Fairness Metrics
- ๐งฌ Federated Computational Governance
- ๐ซฑ๐ปโ๐ซฒ๐ฝ Federated Governance
- ๐ธ FinOps
- โ๏ธ Formal Verification
- ๐งฑ Foundation Model
- ๐ Frontier Model
- ๐ก๏ธ GDPR
- ๐ GPT-5
- ๐ค Generative AI
- ๐ค Google DeepMind
- โป๏ธ Green AI
- ๐ Grounding
- โ๏ธ Group Attribution Bias
- ๐ก๏ธ Guardrails
- ๐ Guidelines
- ๐ซ Hallucination
- ๐ฅ Health Data
- ๐ฅ Health Level Seven International
- ๐งโโ๏ธ Human Evaluation
- ๐งโโ๏ธ Human Oversight
- ๐งโโ๏ธ Human-in-the-Loop
- ๐ ISO
- โ ๏ธ ISO 31000
- โ๏ธ ISO-IEC 23894
- ๐งญ ISO-IEC 42001
- ๐ Incrementality Testing
- โ๏ธ Information Asymmetry
- ๐งญ Instruction Following
- ยฉ๏ธ Intellectual Property
- ๐ก๏ธ International Association of Privacy Professionals
- ๐ Interpretability
- ๐ Jailbreak
- โ๏ธ Jurisdiction
- ๐ง๐ท LGPD
- ๐ LIME
- ๐งช LLM Evaluation
- โ๏ธ Lawful Basis
- โ๏ธ Legitimate Interest
- ๐ Licensing
- ๐ก๏ธ Margin of Safety
- ๐ถ๏ธ Membership Inference
- ๐ต๏ธ Membership Inference Attack
- โ ๏ธ Misinformation
- ๐ก๏ธ Mitigation
- ๐ Model Cards
- ๐ Model Explainability
- ๐ Model Fingerprinting
- โ๏ธ Model Governance
- ๐ Model Inversion
- ๐ Model Provenance
- ๐๏ธ Model Registry
- ๐ต๏ธ Model Stealing
- ๐ Model Transparency
- ๐ Modern Cryptography
- โ๏ธ Moral Hazard
- ๐๏ธ NIST
- ๐ NIST AI Risk Management Framework
- ๐ก๏ธ NIST Privacy Framework
- ๐ National Institute of Standards and Technology (NIST)
- ๐งฉ Neuro-Symbolic AI
- ๐งฉ Non-Personal Data
- โ๏ธ OECD AI Principles
- ๐ Open Evaluation
- ๐ Open LLM
- ๐ Open Model Spec
- ๐งฉ Open Source AI
- ๐ Open Standards
- โ๏ธ Open Weight Model
- โ๏ธ Open Weights
- ๐ Out-of-Distribution Detection
- ๐ Policy Design
- โ๏ธ Policy Enforcement
- ๐๏ธ Policy Lever
- โ๏ธ Policy as Code
- โ๏ธ Prediction Bias
- โ๏ธ Predictive Parity
- ๐ก๏ธ Privacy
- ๐งฎ Privacy Budget
- ๐ Privacy Notice
- ๐ Privacy Policy
- ๐ Privacy by Design
- ๐ก๏ธ Privacy-Preserving
- ๐ Proprietary Model
- ๐ต๏ธโโ๏ธ Pseudonymization
- ๐ Public Domain
- ๐ฏ Purpose Limitation
- ๐ค RLAIF
- ๐ค RLHF
- ๐ก๏ธ Red Teaming
- โ๏ธ Regulation
- ๐ Replicability
- ๐ Reproduction
- ๐ค Responsible AI
- ๐ Reward Hacking
- ๐ Reward Model
- ๐งญ Reward Modeling
- โ๏ธ Risk Assessment
- โ ๏ธ Risk Management
- ๐ก๏ธ Rรฉnyi Differential Privacy
- ๐ SHAP
- ๐งฉ SHAP Values
- ๐ฆ Safety Filters
- ๐๏ธ Safety Tuning
- โ ๏ธ Sampling Bias
- ๐ Secure Aggregation
- ๐ Security
- ๐ฏ Selection Bias
- ๐ Self-Driving Car
- ๐ก๏ธ Sensitive Attribute
- ๐ Service Provider
- ๐ต๏ธโโ๏ธ Shadow Models
- ๐ค Stakeholder Management
- ๐ก๏ธ Stewardship
- ๐ต๏ธโโ๏ธ Surveillance Capitalism
- ๐ช Sycophancy
- ๐ต๏ธ Threat Modeling
- ๐งต Traceability
- ๐ Transparency
- ๐ฏ Treatment Effect
- ๐ Trusted Execution Environment
- โ Trustworthy AI
- โ TruthfulQA
- ๐งช Turing Test
- ๐ซ๏ธ Uncertainty Estimation
- ๐งฝ Unlearning
- ๐ค Value Alignment
- ๐ง Watermarking
- ๐ง Wisdom
- ๐ก๏ธ XACML
- ๐ฐ๏ธ XAI
- ๐งฑ Zero Trust
- ๐ช Zero Trust Architecture