From the Baltic Sea to the Black Sea, Russia has exercised its will across Europe inciting tensions while limiting its activities to below the Article 5 threshold, an armed attack on one is an attack on all. Russian hybrid warfare has become the principle threat to NATO over the last decade. Keywords: AI Safety, Cybersecurity, Failures, Super intelligence, Algorithms, Advanced Persistent Threats (APT). Their emergence and adoption lead to a bevy of related policy questions. Such agents are becoming an intrinsic part of our regular decision-making processes. Artificial agents to refer to devices and decision-making aids that rely on automated, data- driven, or algorithmic learning procedures. In a few short decades, we have morphed from a machine-based society to an information-based society, and as this Information Age continues to mature, society has been forced to develop a new and intimate familiarity with data-driven and algorithmic systems. Future generations may look back at our time and identify it as one of intense change. Every security system will eventually fail there is no such thing as a 100% secure system. Unfortunately, such a level of performance is unachievable. The goal of cybersecurity is to reduce the number of successful attacks on the system the goal of AI Safety is to make sure zero attacks succeed in bypassing the safety mechanisms. A single failure of a super intelligent system may cause a catastrophic event without a chance for recovery.
For narrow AIs safety failures are at the same, moderate, level of criticality as in cybersecurity, however for general AI, failures have a fundamentally different impact. AI Safety can be improved based on ideas developed by cybersecurity experts. I suggest that both the frequency and the seriousness of future AI failures will steadily increase. This paper will present and analyze reported failures of artificially intelligent systems and extrapolate our analysis to future AIs.
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