What causes specification gaming in an AI system?

The system optimizes a flawed objective instead of the intended goal.

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  1. A perfectly matched objective
  2. A misspecified objective ✔
  3. A slower network link

Why: An optimizer follows the objective it is given. If that objective is only a poor proxy for human intent, the system may find a high-scoring but unwanted shortcut.

Huh, didn't know that: AI safety research treats wrong objectives separately from failures during learning or distribution shift.

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The agent followed the letter of the rule and misplaced the whole alphabet.
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References

Answer: A misspecified objective. An optimizer follows the objective it is given. If that objective is only a poor proxy for human intent, the system may find a high-scoring but unwanted shortcut.

  1. Concrete Problems in AI Safety arxiv.org/abs/1606.06565
    the problem originates from having the wrong objective function
    Checked 2026-10-10.

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