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  1. (1 other version)Word vector embeddings hold social ontological relations capable of reflecting meaningful fairness assessments.Ahmed Izzidien - 2021 - AI and Society (March 2021):1-20.
    Programming artificial intelligence to make fairness assessments of texts through top-down rules, bottom-up training, or hybrid approaches, has presented the challenge of defining cross-cultural fairness. In this paper a simple method is presented which uses vectors to discover if a verb is unfair or fair. It uses already existing relational social ontologies inherent in Word Embeddings and thus requires no training. The plausibility of the approach rests on two premises. That individuals consider fair acts those that they would be willing (...)
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  • (1 other version)Word vector embeddings hold social ontological relations capable of reflecting meaningful fairness assessments.Ahmed Izzidien - 2022 - AI and Society 37 (1):299-318.
    Programming artificial intelligence to make fairness assessments of texts through top-down rules, bottom-up training, or hybrid approaches, has presented the challenge of defining cross-cultural fairness. In this paper a simple method is presented which uses vectors to discover if a verb is unfair or fair. It uses already existing relational social ontologies inherent in Word Embeddings and thus requires no training. The plausibility of the approach rests on two premises. That individuals consider fair acts those that they would be willing (...)
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  • Artificial intelligence and global power structure: understanding through Luhmann's systems theory.Arun Teja Polcumpally - 2022 - AI and Society 37 (4):1487-1503.
    This research attempts to construct a second order observation model in understanding the significance of Artificial intelligence (AI) in changing the global power structure. Because of the inevitable ubiquity of AI in the world societies’ near future, it impacts all the sections of society triggering socio-technical iterative developments. Its horizontal impact and states’ race to become leader in the AI world asks for a vivid understanding of its impact on the international system. To understand the latter, Triple Helix (TH) model (...)
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  • AI management beyond the hype: exploring the co-constitution of AI and organizational context.Jonny Holmström & Markus Hällgren - 2022 - AI and Society 37 (4):1575-1585.
    AI technologies hold great promise for addressing existing problems in organizational contexts, but the potential benefits must not obscure the potential perils associated with AI. In this article, we conceptually explore these promises and perils by examining AI use in organizational contexts. The exploration complements and extends extant literature on AI management by providing a typology describing four types of AI use, based on the idea of co-constitution of AI technologies and organizational context. Building on this typology, we propose three (...)
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