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ISO 24028:2020 - Information technology - Artificial intelligence - Overview of trustworthiness in artificial intelligence

Technology Standards

ISO 24028:2020 - Information technology - Artificial intelligence - Overview of trustworthiness in artificial intelligence

Artificial Intelligence development

While published in 2020, ISO 24028 remains a valuable resource for understanding the concept of trustworthiness in AI. It provides an overview of the key characteristics that contribute to trustworthy AI systems. 

This standard explores the concept of trustworthiness in AI and outlines key aspects, such as reliability, safety, security, fairness, and accountability. It emphasizes the importance of building trust in AI systems for their successful and widespread adoption. 

  • Fosters Development of Trustworthy AI Systems: By understanding the core principles of trustworthiness outlined in the standard, organizations can design and develop AI systems that are reliable, safe, secure, fair, and accountable. 
  • Enhances the Value Proposition of AI Solutions: Trustworthy AI systems are more likely to be accepted and adopted by users, increasing the overall value proposition of AI solutions for organizations. 
  • Provides a Framework for Evaluating AI Trustworthiness: The standard offers a framework for evaluating the trustworthiness of AI systems, helping organizations identify areas for improvement. 
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  • AI Developers and Engineers: Responsible for designing and building trustworthy AI systems that adhere to established principles. 
  • Project Managers: Overseeing the development process and ensuring adherence to best practices for trustworthy AI development. 
  • Business Leaders: Making strategic decisions about AI investments and prioritizing the development of trustworthy AI systems. 
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By prioritizing the development of trustworthy AI systems as outlined in ISO 24028, organizations can: 

  • Expand the potential applications of AI within the organization, leading to new opportunities and competitive advantages. 
  • Enhance user confidence and acceptance of AI solutions, promoting successful integration into existing workflows. 
  • Foster a culture of trust and transparency within the organization around AI development and use. 

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