PD ISO/IEC TR 24028:2020 - Overview of Trustworthiness in Artificial Intelligence

Standard Number: PD ISO/IEC TR 24028:2020

Pages: 52

Released: 2022-10-31

ISBN: 978 0 539 05313 5

Status: Standard

Introduction

In the rapidly evolving world of technology, artificial intelligence (AI) stands at the forefront of innovation, offering unprecedented opportunities and challenges. As AI systems become increasingly integrated into our daily lives, the need for understanding and ensuring their trustworthiness becomes paramount. The PD ISO/IEC TR 24028:2020 standard provides a comprehensive overview of the trustworthiness of AI, offering valuable insights and guidelines for developers, researchers, and policymakers.

Why Trustworthiness in AI Matters

Trustworthiness in AI is crucial for several reasons. As AI systems are deployed in critical areas such as healthcare, finance, and autonomous vehicles, the potential impact of their decisions can be significant. Ensuring that these systems are reliable, transparent, and ethical is essential to prevent harm and build public confidence. The PD ISO/IEC TR 24028:2020 standard addresses these concerns by outlining key principles and practices for developing trustworthy AI systems.

Key Features of the Standard

The PD ISO/IEC TR 24028:2020 standard is a vital resource for anyone involved in the development and deployment of AI technologies. Here are some of the key features and benefits of this standard:

• Comprehensive Overview: The standard provides a detailed examination of the various aspects of trustworthiness in AI, including reliability, transparency, accountability, and ethical considerations.
• Guidelines for Implementation: It offers practical guidelines for implementing trustworthy AI systems, helping organizations to align their AI initiatives with best practices and international standards.
• Focus on Ethical AI: The standard emphasizes the importance of ethical considerations in AI development, ensuring that AI systems are designed and used in ways that respect human rights and societal values.
• Global Relevance: As an internationally recognized standard, PD ISO/IEC TR 24028:2020 provides a common framework for understanding and addressing trustworthiness in AI across different regions and industries.

Who Can Benefit from This Standard?

The PD ISO/IEC TR 24028:2020 standard is an invaluable resource for a wide range of stakeholders, including:

• AI Developers and Engineers: Gain insights into best practices for designing and implementing trustworthy AI systems.
• Researchers and Academics: Access a comprehensive overview of the current state of trustworthiness in AI, supporting further research and innovation.
• Policymakers and Regulators: Utilize the standard as a reference for developing policies and regulations that promote the responsible use of AI technologies.
• Business Leaders and Decision Makers: Understand the importance of trustworthiness in AI and its impact on business operations and reputation.

Conclusion

As AI continues to transform industries and societies, ensuring the trustworthiness of these systems is more important than ever. The PD ISO/IEC TR 24028:2020 standard provides a crucial framework for understanding and enhancing the trustworthiness of AI technologies. By adhering to the guidelines and principles outlined in this standard, organizations can build AI systems that are not only innovative but also reliable, transparent, and ethical.

Whether you are an AI developer, researcher, policymaker, or business leader, the PD ISO/IEC TR 24028:2020 standard is an essential tool for navigating the complex landscape of artificial intelligence and ensuring its positive impact on society.

PD ISO/IEC TR 24028:2020

This standard PD ISO/IEC TR 24028:2020 Information technology. Artificial intelligence. Overview of trustworthiness in artificial intelligence is classified in these ICS categories:

• 35.020 Information technology (IT) in general

This document surveys topics related to trustworthiness in AI systems, including the following:

1. approaches to establish trust in AI systems through transparency, explainability, controllability, etc.;

2. engineering pitfalls and typical associated threats and risks to AI systems, along with possible mitigation techniques and methods; and

3. approaches to assess and achieve availability, resiliency, reliability, accuracy, safety, security and privacy of AI systems.

The specification of levels of trustworthiness for AI systems is out of the scope of this document.