Work

Cross-LLM Behavioral Ethnography

Year: 2026

Type: article

Abstract: Priority registration for the concept of Cross-LLM Behavioral Ethnography within the AUGMANITAI framework (Ehstand 2025–2026). Author ORCID: 0009-0006-3773-7796. Cross-LLM Behavioral Ethnography designates the systematic, qualitative-empirical study of behavioral differences across LLM systems using controlled inputs, thick description, and native taxonomic categories derived from sustained observation. Addresses the methodological gap between Machine Behaviour (Rahwan et al. 2019, Nature), Machine Psychology (Hagendorff 2023), Behavioral Fingerprinting (Pei et al. 2025), and Synthetic Ethnography (De Seta et al. 2024). Full definitions maintained in the unpublished AUGMANITAI Compendium. ISO 704 / ISO 1087 / ISO 30042 compliant.

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.18728018

Author: Ehstand, Andreas

Language: English

Topic: Ethics and Social Impacts of AI

Subfield: Safety Research

Field: Social Sciences

Domain: Social Sciences

Open Access status: green

OpenAlex ID: W7130971843

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