Security, safety, robustness, and privacy are distinct concerns within AI systems, often conflated under broad terms like "security" or "safety." Security focuses on unauthorized access and control violations, while safety addresses potential harm from system operation, even without malicious intent. Robustness pertains to maintaining acceptable behavior under various stresses and shifts, and privacy concerns the appropriate handling of sensitive information. Each of these requires different evidence, testing, and ownership within development teams. AI
IMPACT Clarifies distinct AI risk categories, enabling more targeted and effective control development.
RANK_REASON The item discusses distinct concepts related to AI risk management rather than announcing a new development.
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