AI systems are proliferating under paradigms of efficiency, scale, and control. This session uses local knowledge, strategic ambiguity, and ethnographic refusal to re-shape AI and create intelligences that are more responsive to local contexts. Presentations in this session:
- Archerithms and Algotypes: A Case for Productive Confusion through Controlled Equivocation
- Intelligence as Situated, Ethical, and Attentive: Ethnographic Refusal as a Perennial Frontier
- Multiple Intelligences in Knowledge Systems: Integrating Nursing Practice into the Design of Contextual AI for Health