Filter :
Standard and/or project under the direct responsibility of ISO/IEC JTC 1/SC 42 Secretariat Stage ICS
Artificial intelligence — Performance measurement for AI classification, regression, clustering and recommendation tasks
20.00
Information technology — Artificial intelligence — Assessment of machine learning classification performance
90.92
Artificial intelligence — Data quality for analytics and machine learning (ML) — Part 1: Overview, terminology, and examples
60.60
Artificial intelligence — Data quality for analytics and machine learning (ML) — Part 2: Data quality measures
50.20
Artificial intelligence — Data quality for analytics and machine learning (ML) — Part 3: Data quality management requirements and guidelines
60.60
Artificial intelligence — Data quality for analytics and machine learning (ML) — Part 4: Data quality process framework
60.60
Artificial intelligence — Data quality for analytics and machine learning (ML) — Part 5: Data quality governance framework
40.99
Artificial intelligence — Data quality for analytics and machine learning (ML) — Part 6: Visualization framework for data quality
30.00
Information technology — Artificial intelligence — AI system life cycle processes
60.60
Information technology — Artificial intelligence — Guidance for AI applications
60.60
Information technology — Artificial intelligence — Reference architecture of knowledge engineering
60.60
Artificial intelligence — Functional safety and AI systems
60.60
Information technology — Artificial intelligence — Objectives and approaches for explainability and interpretability of ML models and AI systems
30.60
Information technology — Artificial intelligence — Data life cycle framework
60.60
Information technology — Artificial intelligence — Controllability of automated artificial intelligence systems
60.60
Information technology — Artificial intelligence — Treatment of unwanted bias in classification and regression machine learning tasks
50.20
Information technology — Artificial intelligence — Transparency taxonomy of AI systems
40.60
Information technology — Artificial intelligence — Verification and validation analysis of AI systems
20.00
Information technology — Artificial intelligence — Overview of machine learning computing devices
60.60
Artificial intelligence — Application of AI technologies in health informatics
20.00
Information technology — Artificial intelligence — Environmental sustainability aspects of AI systems
30.60
Information technology — Big data — Overview and vocabulary
90.60
Information technology — Big data reference architecture — Part 1: Framework and application process
60.60
Information technology — Big data reference architecture — Part 2: Use cases and derived requirements
60.60
Information technology — Big data reference architecture — Part 3: Reference architecture
60.60
Information technology — Big data reference architecture — Part 5: Standards roadmap
60.60
Information technology – Artificial intelligence – Beneficial AI systems
30.20
Artificial intelligence — Functional safety and AI systems — Part 1: Requirements
20.00
Artificial intelligence — Functional safety and AI systems — Part 2: Guidance
20.00
Artificial intelligence — Functional safety and AI systems — Part 3: Examples of application
20.00
Artificial intelligence — Functional safety and AI systems — Requirements
20.98
Information technology — Artificial intelligence — Guidance on addressing societal concerns and ethical considerations
20.00
Information technology — Artificial intelligence — Artificial intelligence concepts and terminology
60.60
Information technology — Artificial intelligence — Artificial intelligence concepts and terminology — Amendment 1
20.00
Framework for Artificial Intelligence (AI) Systems Using Machine Learning (ML)
60.60
Framework for Artificial Intelligence (AI) Systems Using Machine Learning (ML) — Amendment 1
20.00
Artificial intelligence — Overview of AI tasks and functionalities related to natural language processing
20.00
Artificial Intelligence — Evaluation methods for accurate natural language processing systems
20.00
Information technology — Artificial intelligence — Guidance on risk management
60.60
Information technology — Artificial intelligence (AI) — Bias in AI systems and AI aided decision making
60.60
Information technology — Artificial intelligence — Overview of trustworthiness in artificial intelligence
60.60
Artificial Intelligence (AI) — Assessment of the robustness of neural networks — Part 1: Overview
60.60
Artificial intelligence (AI) — Assessment of the robustness of neural networks — Part 2: Methodology for the use of formal methods
60.60
Artificial intelligence (AI) — Assessment of the robustness of neural networks — Part 3: Methodology for the use of statistical methods
20.00
Information technology — Artificial intelligence (AI) — Use cases
95.99
Information technology — Artificial intelligence (AI) — Use cases
60.60
Information technology — Artificial intelligence — Overview of ethical and societal concerns
60.60
Information technology — Artificial intelligence (AI) — Overview of computational approaches for AI systems
60.60
Information technology — Artificial intelligence — Process management framework for big data analytics
60.60
Artificial intelligence — AI system logging
20.00
Artificial intelligence — AI-enhanced nudging
20.00
Systems and software engineering — Systems and software Quality Requirements and Evaluation (SQuaRE) — Guidance for quality evaluation of artificial intelligence (AI) systems
60.60
Software engineering — Systems and software Quality Requirements and Evaluation (SQuaRE) — Quality model for AI systems
90.92
Software engineering — Systems and software Quality Requirements and Evaluation (SQuaRE) — Quality model for AI systems
20.00
Software and systems engineering — Software testing — Part 11: Testing of AI systems
20.00
Information technology — Governance of IT — Governance implications of the use of artificial intelligence by organizations
60.60
Information technology — Artificial intelligence — Management system
60.60
Information technology — Artificial intelligence — AI system impact assessment
40.60
Information technology — Artificial intelligence — Requirements for bodies providing audit and certification of artificial intelligence management systems
40.60
Information technology — Artificial intelligence — Taxonomy of AI system methods and capabilities
20.00
Information technology — Artificial intelligence — Overview of synthetic data in the context of AI systems
20.00
Information technology — Artificial intelligence — Guidance for human oversight of AI systems
20.00
Information technology — Artificial intelligence — Overview of differentiated benchmarking of AI system quality characteristics
20.00
Information technology — Artificial intelligence — Use cases of human-machine teaming
20.00
Information technology — Artificial intelligence — Guidance on machine learning model training efficiency optimisation
20.00

No matching records found. Please try changing the filter settings.