Фильтр :
Стандарт и/или проект находящийся в компетенции ISO/IEC JTC 1/SC 42 Секретариата Этап ICS
Information technology — Artificial intelligence — Assessment of machine learning classification performance
60.00
Artificial intelligence — Data quality for analytics and machine learning (ML) — Part 1: Overview, terminology, and examples
30.20
Artificial intelligence — Data quality for analytics and machine learning (ML) — Part 2: Data quality measures
20.00
Artificial intelligence — Data quality for analytics and machine learning (ML) — Part 3: Data quality management requirements and guidelines
30.20
Artificial intelligence — Data quality for analytics and machine learning (ML) — Part 4: Data quality process framework
30.20
Artificial intelligence — Data quality for analytics and machine learning (ML) — Part 5: Data quality governance
20.00
Information technology — Artificial intelligence — AI system life cycle processes
40.00
Information Technology — Artificial Intelligence — Guidelines for AI applications
30.60
Information technology — Artificial intelligence — Reference architecture of knowledge engineering
30.60
Artificial intelligence — Functional safety and AI systems
30.60
Artificial intelligence — Quality evaluation guidelines for AI systems
20.00
Information technology — Artificial intelligence — Objectives and approaches for explainability of ML models and AI systems
20.00
Information technology — Artificial intelligence — Data life cycle framework
40.20
Information technology — Artificial intelligence — Controllability of automated artificial intelligence systems
20.00
Information technology — Artificial intelligence — Treatment of unwanted bias in classification and regression machine learning tasks
20.00
Information technology — Artificial intelligence — Transparency taxonomy of AI systems
20.00
Information technology — Artificial intelligence — Overview of machine learning computing devices
20.00
Information technology — Big data — Overview and vocabulary
60.60
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 — Artificial intelligence concepts and terminology
60.60
Framework for Artificial Intelligence (AI) Systems Using Machine Learning (ML)
60.60
Information technology — Artificial intelligence — Guidance on risk management
50.00
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
40.60
Information technology — Artificial intelligence (AI) — Use cases
90.92
Information technology — Artificial intelligence (AI) — Use cases
20.00
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
60.00
Software engineering — Systems and software Quality Requirements and Evaluation (SQuaRE) — Quality model for AI systems
40.60
Information technology — Artificial intelligence — Testing for AI systems — Part 11:
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
40.00
Information technology — Artificial intelligence — AI system impact assessment
20.00

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