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AIGP Question of the Day — 31 July 2026

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31 July 2026

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A logistics company uses software that assigns delivery routes by applying a fixed set of human-written rules (traffic zones, vehicle capacity, priority tiers). No component learns from data or infers outputs. Under the OECD-style definition adopted by modern AI laws, how should this system be treated?

  1. As an AI system, because it automates decisions that otherwise require human judgment
  2. As an AI system, because its routing outputs influence a physical operating environment
  3. As generally outside the AI definition, because it applies fixed rules without inference
  4. As a high-risk AI system, because delivery routing affects workers' conditions and pay
Answer: As generally outside the AI definition, because it applies fixed rules without inference
The OECD-style definition turns on whether a system infers, from the inputs it receives, how to generate outputs. A deterministic engine applying fixed human-written rules performs no inference, so it generally falls outside the definition (c). Automating complex decisions (a) and affecting a physical environment (b) do not create AI status without inference, and the high-risk tier (d) can attach only to something that first qualifies as an AI system.

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