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AI Security Risks: Cultural and Developmental Biases
Read Full Article: AI Security Risks: Cultural and Developmental Biases
AI systems inherently incorporate cultural and developmental biases throughout their lifecycle, as revealed by a recent study. The training data used in these systems often mirrors prevailing languages, economic conditions, societal norms, and historical contexts, which can lead to skewed outcomes. Additionally, design decisions in AI systems are influenced by assumptions regarding infrastructure, human behavior, and underlying values. Understanding these embedded biases is crucial for developing fair and equitable AI technologies that serve diverse global communities.
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