AIGP Question of the Day — 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?
- As an AI system, because it automates decisions that otherwise require human judgment
- As an AI system, because its routing outputs influence a physical operating environment
- As generally outside the AI definition, because it applies fixed rules without inference
- As a high-risk AI system, because delivery routing affects workers' conditions and pay
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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