Public sector
Responsible AI in the public sector isn't optional
For public services, AI has to be explainable and fair. Here's what responsible spatial intelligence looks like in practice.
Public services answer to the people they serve. That means any model shaping decisions has to be explainable, fair and open to challenge.
Transparency by default
A prediction nobody can interrogate is a liability, not an asset. Every output should trace back to the signals behind it.
Fairness as a design constraint
Spatial models can entrench bias if left unchecked. Building fairness in from the start keeps intervention equitable across communities.
