Which core element emphasizes that AI systems should be designed to avoid bias and ensure fair treatment for all individuals?

Question

Options

• ATransparency and Explainability
• BFairness and Non-Discrimination
• CAccountability
• DHuman-Centered Design

• A
  7% (4)
• B
  78% (43)
• C
  4% (2)
• D
  11% (6)

Explanation

The principle of Fairness and Non-Discrimination is one of the core ethical and governance pillars emphasized in ISO/IEC 42001:2023, especially in Clause 4.2 (Understanding the needs and expectations of interested parties) and Clause 6.1 (Actions to address risks and opportunities) where ethical risks related to AI systems are assessed. According to the standard and accompanying PECB training guide, fairness is defined as ensuring that AI systems do not create or perpetuate bias, and that individuals and groups are treated equitably, with measures in place to detect and mitigate discrimination. This is often embedded in risk assessments and operational controls when managing AI systems. In ISO/IEC 42001, organizations are required to consider ethical, legal, and societal impacts of their AI systems, and Fairness and Non-Discrimination is a key tenet of trustworthy AI.

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