The Human Burden in AI Collaboration
The Human Burden in AI Collaboration AI capabilities are improving rapidly, but the coordination burden required to use those capabilities effectively remains largely human—and may increase in complex, longhorizon workflows. This paper analyzes how five...
A Note on Path Congruence in Non-Deterministic Systems
A Note on Path Congruence in Non-Deterministic Systems We consider non-deterministic systems in which multiple transformation paths may connect the same pair of states. We isolate a structural configuration in which an equivalence relation on such paths is generated...
Producing the Anti-ESG Ecosystem Case Study FINAL
Producing the Anti-ESG Ecosystem Case Study FINAL On April 7, 2026, Robert G. Eccles (Bob), a retired professor from Harvard Business School, logged on to ChatGPT to write the methodological appendix for his book “The Anti-ESG Ecosystem: Implications for U.S. Climate...
Producing the Anti-ESG Ecosystem TN
Producing the Anti-ESG Ecosystem TN This case documents how Robert G. Eccles, a retired Harvard Business School professor, produced the book “The Anti-ESG Ecosystem: Implications for U.S. Climate Policy” using a structured Hybrid Intelligent Team (HIT)—a coordinated...
Hybrid Intelligence Teams: A Theoretical Framework for Human–AI Collaboration in Knowledge Work
This paper develops a theory of Hybrid Intelligence Teams (HITs)-persistent groups composed of multiple humans and multiple AI agents working interdependently to accomplish knowledge-intensive tasks. We argue that traditional models of human teams, humanautomation systems, and multi-agent AI are…
The Anthropology of Machines: A Digital Field Experiment
Artificial intelligence systems have moved far beyond their early roles as narrow instruments of automation. In many knowledge-work and digital collaboration contexts, they now occupy a meaningful—though uneven—position in how humans…