Terms and Standards for AI Act

List of terms and standards considered.
Request of additional elements.

The data you provide will not be communicated to other third parties and will not be transferred either to Member States of the European Union or to third countries outside the EU.

TERMS

  • Acceptability
  • Acceptance criteria
  • Access control
  • Accessibility
  • Accountability
  • Accuracy
  • Acquisition
  • Aggregation
  • AI application
  • AI Ecosystem
  • AI literacy
  • AI models
  • AI system lifecycle
  • AI systems
  • Algorithm
  • Algorithmic transparency
  • Analitics
  • Annotation
  • Applicable, as regards the persons or groups
  • Appropriate confidentiality
  • Appropriate measures to detect, prevent and mitigate possible biases identified
  • Appropriate statistical properties
  • Architecture
  • Artificial intelligence
  • Artificial neural network
  • Assessment
  • Assessment datasets
  • Assessment of the availability
  • Assessment procedures
  • Attack
  • Audit and assessment
  • Auditability
  • Auditing and certification
  • Authentication
  • Authenticity
  • Autonomy 
  • Availability
  • Balance
  • Benchmark and measurement methodologies
  • Beneficial
  • Beneficialness
  • Benefit
  • Bias
  • Bias detection and correction
  • Bias in AI system
  • Biometric algorithm
  • Biometric characteristic
  • Biometric data
  • Biometric identification
  • Bounded domain
  • Business requirements
  • Categorization
  • Characteristics of the data sets may be met at the level of individual data sets or combination
  • Characteristics or elements that are particular to the specific geographical, contextual, behavioural
  • Classification
  • Cleaning
  • Cloud service
  • Clustering
  • Compatibility
  • Competence
  • Complete
  • Completeness
  • Compliance
  • Compliance with the requirements
  • Conficence level
  • Confidentiality
  • Conformity
  • Conformity assessment
  • Consequence
  • Consistency
  • Contact
  • Context of use
  • Controllability
  • Controller
  • Credibility
  • Currentness
  • Customer
  • Cybersecurity
  • Data
  • Data acquisition
  • Data aggregation
  • Data analysis
  • Data bias
  • Data collection processes
  • Data decommisionig
  • Data filtration
  • Data format
  • Data governance
  • Data holder
  • Data labelling
  • Data life cycle
  • Data management
  • Data mining
  • Data processed are secured, protected, subject to suitable safeguards, including strict controls
  • Data protection
  • Data provenance
  • Data quality
  • Data quality assessment
  • Data quality culture
  • Data quality management
  • Data quality management lifecycle
  • Data quality model
  • Data quality plan
  • Data quality process principles
  • Data quality process validation
  • Data quality reporting
  • Data quality requirements
  • Data quality risk management
  • Data requirements
  • Data resources
  • Data retention
  • Data set
  • Data set measure for bias
  • Data storage
  • Data user
  • Data-preparation processing
  • Database
  • Datasets
  • Decision-making
  • Decommissioning
  • Deep learning
  • Democracy
  • Deployers
  • Design
  • Direct user
  • Disability
  • Diversity
  • Documentation
  • Documentation of the access, to avoid misuse and ensure that only authorised persons
  • Documented information
  • Domains
  • Economic risk
  • Education
  • Effectiveness
  • Efficiency
  • Eliminate or reduce biased output
  • Enrichment
  • Environmental protection
  • Environmental risk
  • Establish enabling environment for data quality governance
  • Ethical concerns
  • Ethical framework
  • Ethical review
  • Ethical risk
  • Evaluation
  • Examination of biases, health and safety of persons
  • Experience
  • Explainability
  • Flexibility
  • Formal method
  • Formulation of  assumptions (information that the data are supposed to measure)
  • Free of errors
  • Freedom from risk
  • Functional adaptability
  • Functional appropriateness
  • Functional completeness
  • Functional correctness
  • Functional safety
  • Functional setting
  • Functional suitability
  • Fundamental rights
  • Fundamental rights or lead to discrimination prohibited under Union law
  • Generative AI
  • Governance
  • Governance of information security
  • Governing body
  • Harmful effects
  • Health
  • Health risk
  • Healthcare
  • Horizontal aspects
  • How to measure, metrology
  • HR AI Systems
  • HR High-risk
  • Human Factor
  • Human life risk
  • Human oversight
  • Human resource management process
  • Human-centric
  • Identifiability
  • Impact assessment
  • Importers
  • Improvement
  • Incident
  • Industrial data
  • Information
  • Information quality
  • Information security
  • Information system
  • Innovation
  • Input data
  • Interaction capability
  • Interaction with natural person or other systems
  • Internal context
  • Internal market
  • Interpretability
  • Intervenability
  • IT system
  • Knowledge
  • Knowledge acquisition
  • Knowledge management process
  • Labelling
  • Leadership
  • Level declaration & instruction of use
  • Level of risk
  • Lifecycle
  • Literacy
  • Located in a third country with output used in the Union
  • Located in the Union 
  • Location
  • Logging
  • Logs
  • Machine learning
  • Maintainability
  • Maintenance process
  • Management
  • Management system
  • Management system integration
  • Managing of data quality dependencies
  • Market for medical or safety reasons
  • Master data
  • Measure
  • Measurement
  • Measurement and method
  • Metrics
  • Monitoring
  • Neural network
  • Non-repudiation
  • Ontology
  • Operation
  • Organization
  • Origin of data
  • Out-of-distribution data
  • Outlier
  • Outsourcing
  • Performance efficiency
  • Personal data
  • Personal data are not to be transmitted, transferred or otherwise accessed by other parties
  • Personal data, the original purpose of the data collection
  • Planning
  • Portability
  • Post-market
  • Precision
  • Preparation
  • Privacy
  • Probability measure
  • Processes
  • Product manufacturers
  • Products
  • Products covered by Union harmonization legislation
  • Protection
  • Protection of personal data
  • Providers
  • Purpose
  • Quality assurance
  • Quality characteristics
  • Quality control
  • Quality criteria
  • Quality management
  • Quality management process
  • Quality model
  • Quality-in-use
  • Quantification
  • Random variable
  • Re-use of the personal data
  • Recoverability
  • Regression
  • Relevance
  • Relevant data gaps or shortcomings that prevent compliance with this Regulation
  • Reliability
  • Representativeness
  • Residual risk
  • Resilience regarding errors, faults, inconsistency
  • Responsability
  • Responsability of governing body
  • Risk
  • Risk acceptance
  • Risk analysis
  • Risk assessment techniques
  • Risk communication and consultation
  • Risk estimation
  • Risk evaluation
  • Risk factors
  • Risk governance
  • Risk management
  • Risk management process
  • Risk treatment
  • Robot
  • Robusteness
  • Robustness achieved with redundancy, backup of fail-safe plan
  • Safety
  • Safety components of devices
  • Satisfaction
  • Security
  • Security and privacy, pseudonymisation
  • Segmentation
  • Service
  • Similarity
  • Simulatability
  • Social responsibility
  • Societal concerns
  • Societal risk
  • Society
  • Software
  • Software quality
  • Software testing
  • Stakeholder
  • Statistical confidence
  • Suitability
  • Support
  • Surveillance
  • Synthetic or anonymised data
  • System
  • Target entity
  • Technical documentation
  • Terms related to AI
  • Terms related to computer vision
  • Terms related to data
  • Terms related to machnine learning
  • Terms related to natural language processing
  • Terms related to neural networks
  • Terms related to trustworthiness
  • Test data
  • Testing
  • Testing data sets
  • The personal data in the special categories of personal data are deleted once the bias has been corrected
  • Time series
  • Timeliness
  • Traceability
  • Training
  • Training, validation, testing datasets
  • Transparency
  • Trustworthiness
  • Trustworthy
  • Uncertainty
  • Understandability
  • Updating
  • Usability
  • Use-cases
  • User
  • Validation
  • Verification
  • Verification and validation
  • Visualization
  • Vulnerability

STANDARDS

  • 4213:2022 ISO/IEC TS
  • 4213-1 ISO/IEC AWI
  • 5259-1:2024 ISO/IEC
  • 5259-2:2024 ISO/IEC
  • 5259-3:2024 ISO/IEC
  • 5259-4:2024 ISO/IEC
  • 5259-5:2024 ISO/IEC FDIS
  • 5259-6:2024 CD TR
  • 5338:2023 ISO/IEC
  • 5339:2024 ISO/IEC
  • 5469:2024 ISO/IEC TR
  • 6254 ISO/IEC CD TS
  • 8000-1:2022 ISO
  • 8183:2023 ISO/IEC
  • 8200:2024 ISO/IEC TS
  • 9868 ISO/IEC DIS
  • 12182:2015 ISO/IEC TR
  • 12791-2:2024 ISO/IEC DTS
  • 14971:2019 ISO
  • 17847 ISO/IEC TS
  • 21221 ISO/IEC WD
  • 22443 ISO/IEC AWI TS
  • 22989:2022 ISO/IEC
  • 22989-2 ISO/IEC AWI
  • 23894:2023 ISO/IEC
  • 24027:2021 ISO/IEC TR
  • 24028:2020 ISO/IEC TR
  • 24029-1:2021 ISO/IEC TR
  • 24029-2:2023 ISO/IEC
  • 24029-3 ISO/IEC AWI
  • 24030:2024 ISO/IEC TR
  • 24368:2022 ISO/IEC TR
  • 24970 ISO/IEC AWI
  • 25010:2023 ISO/IEC
  • 25012:2008 ISO/IEC
  • 25019:2023 ISO/IEC
  • 25024:2015 ISO/IEC
  • 25058:2024 ISO/IEC TS
  • 25059:2023 ISO/IEC
  • 25059-1 ISO/IEC AWI
  • 25223:2024 ISO/IEC AWI TS
  • 26514:2022 ISO/IEC/IEEE
  • 27000:2018 ISO/IEC
  • 29119-11:2020 ISO/IEC TR
  • 31000:2018 ISO
  • 31010:2019 IEC
  • 38500:2024 ISO/IEC
  • 38507:2022 ISO/IEC
  • 42001:2023 ISO/IEC
  • 42005:2024 ISO/IEC DIS
  • 42006:2024 ISO/IEC DIS
  • 62304:2006 IEC
  • 82079-1:2019 IEC/IEEE