Sandbox Can’t Hold Us Down
Three AI cybersecurity incidents reveal that capable systems do not act on instructions alone. They interpret the objective, the environment and the methods they believe success permits.
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Papers filed under Inside AI.
Three AI cybersecurity incidents reveal that capable systems do not act on instructions alone. They interpret the objective, the environment and the methods they believe success permits.
Instructions do not determine AI actions by themselves. Between an objective and an action lies the system’s interpretation of where it is, what is real and which boundaries still apply.
Intelligent systems do more than execute objectives. They learn what success requires from the incentives and boundaries surrounding them.
AI evaluation is not only about identifying incorrect answers. Every score becomes a signal about the behaviours we want intelligent systems to repeat.
AI may generate the output, but humans still define what good, safe, useful, and context-aware actually mean.