Many AI tools are built to approximate numbers from a few inputs. That can be misleading in local situations where causation and responsibility are heavily contested—especially in fatal incidents involving:
- Commuter traffic and high-speed roadway dynamics (including sudden braking, lane changes, and impaired perception)
- Seasonal driving conditions common in Central Minnesota (ice, reduced visibility, and traction issues)
- Shared responsibility scenarios (for example, disputes over speed, following distance, signage, maintenance, or distraction)
- Employer/contractor involvement in industrial or construction-related fatalities
In these cases, the “estimate” may look plausible while skipping the very evidence that Minnesota courts and juries rely on.


