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The Saudi Data and Artificial Intelligence Authority (SDAIA) has issued its first reference guide, listing over 100 biases that can impact the accuracy and fairness of AI systems, especially in sensitive sectors such as justice, healthcare, and education. The guide explains that biases may arise from training data that is insufficiently representative or algorithms that inadvertently favor certain groups, thereby reducing system effectiveness and increasing the risk of bias escalation, legal issues, and consumer complaints. This development comes amid the growing adoption of artificial intelligence and underscores the importance of addressing biases to ensure fairness and transparency in decision-making tools.
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