| Activities within the lifecycle of artificial intelligence systems |
| AI actors |
| AI concepts and terminology |
| AI ecosystem |
| AI inventorship |
| AI Liability Directive |
| AI literacy |
| AI management system (AIMS) |
| AI RMF core functions |
| AI system |
| Algorithmic Accountability |
| Algorithmic Bias |
| Algorithmic discrimination |
| Artificial Intelligence (AI) |
| Automated Decision-Making (ADM) |
| Automated individual decision-making |
| Biometric categorisation system |
| Biometric data |
| Biometric identification system |
| Catastrophic risk |
| CE marking |
| Conformity Assessment |
| Data protection impact assessment |
| Deep fake |
| Deep Learning |
| Defectiveness |
| Deployer |
| Distributor |
| Downstream provider |
| Emotion recognition system |
| Ethical impact assessment |
| Ethics of Artificial Intelligence |
| EU database (for AI systems) |
| EU safeguard procedure |
| European Artificial Intelligence Board |
| European Artificial Intelligence Office |
| European Data Protection Supervisor (EDPS) |
| Expert system |
| Explainability |
| Fairness |
| Floating-point operation (FLOP) |
| Frontier AI |
| Frontier model |
| Fundamental Rights Impact Assessment (FRIA) |
| General-purpose AI model |
| Generative AI training data transparency |
| Governance of AI |
| Graduated and differentiated measures |
| Guidelines on AI risk management |
| High-risk AI system |
| Human oversight |
| Human oversight and determination |
| Human-centric approach |
| Impact assessment |
| Intellectual property and AI |
| International cooperation on AI |
| Joint activities (in AI governance) |
| Judicial oversight of AI |
| Key performance indicators (digital justice) |
| Knowledge sharing (in AI governance) |
| Labour rights (AI governance) |
| Learning data |
| Liability for AI systems |
| Limited-risk AI system |
| Machine learning |
| Market surveillance (in AI regulation) |
| Monitoring of AI systems |
| National competent authority |
| Neural network |
| Non-compliance |
| Notified body |
| Obligations of providers |
| Open data for AI |
| Oversight |
| Post-market monitoring |
| Profiling |
| Prohibited AI practices |
| Provider |
| Quality management system |
| Real-time remote biometric identification |
| Reasonably foreseeable misuse |
| Recommender system transparency |
| Record-keeping (logging) |
| Registration obligations |
| Risk-management system |
| Robustness |
| Safety component |
| Sanctions |
| Sandbox (AI regulatory) |
| Serious incident |
| Standards |
| Systemic risk |
| TDM rights reservation (opt-out) |
| Technical documentation |
| Testing of high-risk AI systems |
| Text and data mining (TDM) |
| Traceability |
| Transparency of high-risk AI systems |
| Trustworthy AI |
| Unacceptable AI practices |
