RIYADH — The Saudi Data and Artificial Intelligence Authority (SDAIA) has published the first edition of its AI Bias Reference Guide, introducing a comprehensive resource that identifies more than 100 types of bias that can influence the fairness and accuracy of artificial intelligence systems.

The guide explains various forms of AI bias, how they emerge during the development of AI systems, their potential impact on individuals and society, and practical approaches for reducing or preventing these biases.

According to SDAIA, the increasing use of artificial intelligence in key sectors such as healthcare, education, and justice has made it essential to understand and address bias throughout the AI development process.

The authority noted that unmanaged bias can reduce the reliability of AI systems, potentially leading to unfair outcomes, discrimination, reputational risks for organizations, and increased legal or regulatory challenges.

The guide highlights several common sources of bias, including unrepresentative training data, algorithmic design, and assumptions made during data analysis. One example cited involves recruitment systems that may unintentionally favor applicants from prestigious educational institutions over equally qualified candidates from different backgrounds.

The publication forms part of SDAIA’s broader efforts to promote the responsible and ethical use of artificial intelligence. It complements several previous initiatives, including the AI Ethics Principles, Generative AI Principles for government entities and the public, the AI Adoption Framework, and the study “Bias in Artificial Intelligence Systems: Challenges and Solutions.”

As Saudi Arabia’s national authority for data and artificial intelligence, SDAIA said it will continue supporting specialized knowledge, developing national capabilities in advanced technologies and encouraging the responsible adoption of AI while strengthening the Kingdom’s digital innovation ecosystem.

Source:Saudi Gazette