AIGP Question of the Day — 20 August 2026
A new free AIGP practice question every few days, with a full explanation.
Which statement best captures why 'speed and scale' appears among the characteristics of AI requiring dedicated governance?
- AI development cycles now outpace the release cadence of traditional enterprise software
- A single flawed decision pattern can repeat across millions of automated decisions before detection
- Training large models concentrates demand on specialised data-centre infrastructure
- Scaling laws mean larger models tend to deliver higher benchmark accuracy
The governance concern behind 'speed and scale' is harm amplification: one defective pattern repeats across every automated decision the system makes, reaching millions of people before anyone detects the fault (b). Development pace (a) and data-centre demand (c) describe how AI is built and run, not why its errors need dedicated governance. Scaling-law accuracy gains (d) describe capability rather than risk propagation.
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