Accepted & Forthcoming
Nonhuman Attentional Control: Organizational Import of External Institutional Logics
Academy of Management Annual Meeting 2026, Organization and Management Theory (OMT) Division. Philadelphia, PA. July 31 – August 4, 2026.
AI models carry institutional logics from their originating social systems. Given identical organizational scenarios, different AI models produce systematically divergent outputs — not because of stochastic variance, but because they have been socialized differently through their training. A 5-model × 25-scenario × 25-iteration experimental design shows 68% divergence in recommendations across models with 91.4% consistency within each model. AI attention is systematic, not random, and reflects the institutional logics of the model's origin.
Full paper and supplementary materials available on request: [email protected]
In Preparation
The Social Signatures of Artificial Intelligence
Targeted for submission to Nature Human Behaviour, with a companion short-form piece for Science Policy Forum.
A four-study architecture testing whether 20+ AI models exhibit stable, distinguishable institutional signatures across behavioral, perceptual, deliberative, and ecosystem-level tasks. Extends the AOM 2026 result to a broader model population and a wider range of organizational contexts.
Design and protocol documentation in active preparation.
Earlier Work
Nonhuman Knowledge in Collaboration
AOM TIM Paper Development Workshop, 2023. Technology & Innovation Management Division, Academy of Management.
An early articulation of the argument that AI systems contribute distinct forms of knowledge to human–AI collaborations — knowledge that cannot be accurately modeled as tool output. The precursor to the Intelligent Agency program.
Future publications will be added as they are accepted or released. For preprints, replication materials, or collaboration inquiries, write to [email protected].