CONCEPT
Human-Scale AI
The framework this volume proposes — AI deployment evaluated against all nine needs simultaneously, with synergic satisfiers as the goal and the full matrix as the instrument panel.
The synthesizing concept of this volume. Human-scale AI is AI deployment evaluated not by productivity metrics alone but by the full Max-Neef instrument panel — all nine needs, monitored simultaneously, with explicit attention to whether the tools are functioning as synergic, singular, inhibiting, pseudo, or violator satisfiers in the specific conditions of their use. The framework is not anti-AI. It is anti-single-axis-measurement. It accepts that AI can be a synergic satisfier under the right conditions and insists that the conditions must be deliberately constructed, because they do not emerge from market dynamics alone.
In The You On AI Field Guide
The framework generates specific prescriptions at multiple institutional scales. At the organizational scale: the AI Practice framework (structured pauses, sequenced workflows, protected mentoring time) as an attempt at synergic-satisfier design. At the educational scale: curricula that teach understanding alongside production, reflection alongside output. At the labor-institutional scale: retraining at the speed of displacement, economic safety nets adequate to a transition measured in months, regulatory frameworks that