Regulation becomes a product constraint once an LLM system moves beyond a demo: selling it creates expectations, reputational exposure, and possible government scrutiny. Teams cannot predict every future rule, but they can examine legal ramifications before deployment and avoid treating AI as purely technical. section 12.2.1
Practical concerns include:
- Track how government bodies define jurisdiction and responsibility for AI systems. section 12.2.1
- Assess whether product behavior could create liability by circumventing consumer-protection laws. section 12.2.1
- Use concrete examples when interpreting broad definitions: Utah’s definition covers systems making predictions, recommendations, or decisions affecting real or virtual environments. section 12.2.1
