The Ultimate Guide to ISO/IEC 42001 Information Technology - Artificial intelligence - Management system
What is AI?
Artificial Intelligence or ‘AI’ as it’s more commonly known is the knowledge coming from machine learning or software. It is used to perform tasks ranging from searching for information using voice prompts or it can be used for solving complex mathematical problems in a range of industries including finance, healthcare and information technology. Some everyday examples of AI include the private intelligent assistants found on smartphones such as Siri on Apple devices and Google Assistant on Android devices. Other business examples include Chat GPT used generate content for social media and Midjourney to create computer generated imagery that can be used on websites.
What is ISO/IEC 42001?
According to IBM’s Global AI Adoption Index 2022 around 44% of organisations worldwide are working to embed AI into current applications or processes. In some industries and countries, this statistic is even higher with artificial intelligence becoming synonymous with everyday life. Although there has been rapid growth in AI usage, the regulation and governance component remains low or non-existent across majority of businesses. Here’s where ISO/IEC 42001 comes into play.
To drive the responsible use of AI, the new global AI management system addresses the need for consistency and ethical implementation of AI. ISO/IEC 42001 helps guide organisations on how to best manage their AI systems. It specifies requirements for establishing, implementing, maintaining, and continually improving an AI management system. It is a part of the ISO management system Standards, which cover a diverse range of areas critical to organisational culture and processes.
What are the benefits of ISO/IEC 42001?
ISO/IEC 42001 certification can help to show the market that an organisation takes their responsible AI use seriously, through:
- Helping improve the quality, security, traceability, transparency and reliability of AI technologies.
- Helping meet customer, staff and other stakeholder expectations around the ethical and responsible use of AI.
- Helping improve efficiency and risk management.
The Standard supports organisations to ask the right questions to help create rules for using artificial intelligence wisely. It acts as a guidebook to make sure an organisation's rules match what they do and their goals. The Standard provides steps to set up rules that fit with the organisation's unique plans, while also keeping values in mind.
For more information on why this Standard is important from a risk and governance perspective, hear from the experts at the National AI Centre's (NAIC) Responsible AI Network in collaboration with Standards Australia, in this one-hour webinar about all things ISO/IEC 42001:2023.
Discover more AI related Standards
Below are our top 10 Standards relating to Artificial Intelligence, they include Standards for creating an AI framework to Standards for AI concepts and terminology.
- AS ISO/IEC 42001:2023 - Information technology - Artificial intelligence - Management system
- ISO/IEC 42001:2023 - Information technology - Artificial intelligence - Management system
- AS ISO/IEC 23053:2023 - Framework for Artificial Intelligence (AI) Systems Using Machine Learning (ML)
- ISO/IEC TR 24027:2021- Information technology - Artificial intelligence (AI) - Bias in AI systems and AI aided decision making
- AS ISO/IEC 22989:2023 - Information technology - Artificial intelligence - Artificial intelligence concepts and terminology
- AS ISO/IEC 23894:2023 - Information technology - Artificial intelligence - Guidance on risk management
- ISO/IEC 5339:2024 - Information technology - Artificial intelligence - Guidance for AI applications
- ISO/IEC 5338:2023 - Information technology - Artificial intelligence - AI system life cycle processes
- ISO/IEC TR 24028:2020 - Information technology Artificial intelligence Overview of trustworthiness in artificial intelligence
- ISO/IEC 25059:2023 - Software engineering - Systems and software Quality Requirements and Evaluation (SQuaRE) - Quality model for AI systems
Explore our complete collection of AI related Standards today.
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