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  1. Conservative AI and social inequality: conceptualizing alternatives to bias through social theory.Mike Zajko - 2021 - AI and Society 36 (3):1047-1056.
    In response to calls for greater interdisciplinary involvement from the social sciences and humanities in the development, governance, and study of artificial intelligence systems, this paper presents one sociologist’s view on the problem of algorithmic bias and the reproduction of societal bias. Discussions of bias in AI cover much of the same conceptual terrain that sociologists studying inequality have long understood using more specific terms and theories. Concerns over reproducing societal bias should be informed by an understanding of the ways (...)
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  • A methodology for tracking the “fate” of technological interventions in agriculture.Laura German, Jeremias Mowo & Margaret Kingamkono - 2006 - Agriculture and Human Values 23 (3):353-369.
    The primary focus of agricultural research and extension in eastern Africa is technology generation and dissemination. Despite prior critiques of the shortcomings of this approach, the consequences of such activities continue to be measured through the number of technologies developed and introduced into the supply chain. At best, impact is assessed by the total numbers of adopters and by the household and system factors influencing adoption. While the diffusion research tradition has made substantive advances in recent decades, attention to what (...)
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  • Learning cultures.Lauge Baungaard Rasmussen - 1998 - AI and Society 12 (3):134-154.
    For a variety of reasons, learning should be studied as a cultural phenomenon. The task of the first part of this article is to clear up the terminological questions about various ideal types of learning cultures, and how ideal type analysis may be used to study value and knowledge transfer and knowledge acquirement in various types of organisations. The important task of the second part is to analyse how implementation of environmental management systems, like BS-7750, contribute to a certain learning (...)
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  • Computers and classical myths.Antonio Fernández-Cano & Alfonso Fernández-Guerrero - 2014 - AI and Society 29 (1):85-96.
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