Principles and guidelines governing the responsible development and use of AI systems, particularly in security monitoring and decision-making contexts.
AI ethics is crucial for insider risk programs using behavioral analytics and automated decision-making. Organizations must ensure AI systems are transparent, fair, unbiased, and respect employee privacy while effectively detecting threats.
Systematic and unfair discrimination or prejudice that occurs in automated decision-making systems, often resulting from biased training data or flawed algorithm design.
AI systems designed to provide clear, understandable explanations for their decisions and predictions, enabling users to comprehend and trust automated reasoning processes.