AI Ethics in the Public Sector: Keeping the Human in the Loop

The conversation around AI in government often centers on a single fear: will machines replace human judgment? At Scotty AI, we believe the answer is unequivocally no—and that the question itself misses the point.

Explainable AI, Not Black-Box AI

Every recommendation Scotty makes comes with a clear explanation of why. When the system flags a budget variance, it shows the underlying data, the historical trend, and the confidence level. Legislative staff don't just get an answer—they get the reasoning behind it.

This isn't just good design; it's a requirement for public-sector trust. Citizens deserve to know that AI-assisted budget decisions are transparent, auditable, and ultimately approved by elected officials and their staff.

The Human-in-the-Loop Model

Scotty operates as a copilot, not an autopilot. The AI surfaces insights, flags risks, and models scenarios—but every action, every budget reallocation, every report is reviewed and approved by a human decision-maker.

This model ensures that institutional knowledge, political context, and community priorities—things AI cannot fully capture—remain central to the budgeting process.

Building Trust Through Transparency

We publish our model documentation, maintain audit logs for every AI-generated insight, and provide agencies with full control over what data the system can access. Trust isn't built by claiming AI is infallible—it's built by making AI accountable.