2026-01-20 オックスフォード大学
World map with code. Credit: Jamjar Creative Ltd
＜関連情報＞
- https://www.ox.ac.uk/news/2026-01-20-new-study-finds-chatgpt-amplifies-global-inequalities
- https://journals.sagepub.com/doi/10.1177/29768624251408919
シリコンの視線：場所というレンズを通して見た大規模言語モデルにおけるバイアスと不平等の類型論 The silicon gaze: A typology of biases and inequality in LLMs through the lens of place
Francisco W. Kerche, Matthew Zook, and Mark Graham
Platforms & Society Published:January 20, 2026
DOI:https://doi.org/10.1177/29768624251408919
Abstract
This paper introduces the concept of the silicon gaze to explain how large language models (LLMs) reproduce and amplify long-standing spatial inequalities. Drawing on a 20.3-million-query audit of ChatGPT, we map systematic biases in the model’s representations of countries, states, cities, and neighbourhoods. From these empirics, we argue that bias is not a correctable anomaly but an intrinsic feature of generative AI, rooted in historically uneven data ecologies and design choices. Building on a power-aware, relational approach, we develop a five-part typology of bias (availability, pattern, averaging, trope, and proxy) that accounts for the complex ways in which LLMs privilege certain places while rendering others invisible.
