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Last Updated on August 24, 2026<\/p>\n\n\n\n
From self-driving vehicles to medical diagnostics to high-stakes financial trading, artificial Intelligence (AI) is being embedded into human life at breakneck speed. But often all eyes seem to be on the presumed benefits, with little forethought given to the risks.<\/p>\n\n\n\n
Two major classes of AI risk are AI safety and AI security. These span a huge range of potential AI risks\u2014from misuse by adversaries to unpredicted and even catastrophic system failures. AI security concerns external threats while AI safety concerns unintentional harms.<\/p>\n\n\n\n
But while AI risks may overlap both domains and the two terms are often used interchangeably, it is important to understand how the AI safety and AI security relate, to better predict and address them. We need AI systems that are not only resistant to cyber-attack but also manifest dependable behavior and results.<\/p>\n\n\n\n
What are AI safety and AI security, why is their interplay important for trustworthy AI, and what do emerging AI risks look like? This article provides a comprehensive overview for business and technical leaders.<\/p>\n\n\n\n