Efficiency alone cannot resolve questions of ownership, participation, and unevenly distributed environmental costs.
Restorative AI expands the evaluation frame to include community authority, repair, ecological reciprocity, and long-term institutional accountability.
The paper offers an assessment model for teams deciding whether a system should be built, not merely how it should be optimized.
Research implications
This work is published to support replication, constructive critique, and responsible application. Research partners may contact GSAI for methods, collaboration, and accessible formats.