Culture in Artificial Intelligence: A Literature Review & Proposal
Primary Area: societal considerations including fairness, safety, privacy
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Keywords: FATE, Fairness, Bias Mitigation, Culture in AI, Human-Value Alignment
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TL;DR: This paper presents a comprehensive examination of the intersection of AI and culture, highlighting the importance of considering cultural factors in AI development.
Abstract: Within the last few years, there has been an explosion of various Artificial Intelligence technologies poised to change the world. However, a lot of these technologies are made by the few to represent the many. This absence of diversity amongst researchers and overall innovators creates technology that is microscopic in worldview. It brings questions of Fairness, Accountability, Transparency, and Ethics (FATE) to the forefront. Most research undertaken in the context of FATE is done within a Western cultural context, which, in turn, imparts Western values. However, most research does not holistically address the question of the relationship between culture and AI. In this paper, we conduct a literature review of relevant research on Artificial Intelligence and culture and its importance in analyzing concepts of FATE. Additionally, we argue for and propose a definition of Culture in AI. We assume that through a combination of activation points (data collection and annotation, algorithm choice/development, problem framing, etc.), AI systems/agents perpetuate and produce culture in their dealings. This paper posits the need to situate Artificial intelligence systems within specific cultural paradigms consistent with their operative environments. We end by discussing future areas of study to be considered.
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Submission Number: 2906
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