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Gendered innovation for algorithm through case studies
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음성·영상 신호 처리 알고리즘 사례를 통해 본 젠더혁신의 필요성

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Type
Academic journal
Author
Journal
The Korea Society of Digital Policy & Management 디지털융복합연구 디지털융복합연구 제16권 제12호 KCI Accredited Journals
Published
2018.1
Pages
459 - 466 (8page)

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Gendered innovation for algorithm through case studies
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Gendered innovations is a term used by policy makers and academics to refer the process of creating better research and development (R&D) for both men and women. In this paper, we analyze the literatures in image and speech signal processing that can be used in ICT, examine the importance of gendered innovations through case study. Therefore the latest domestic and foreign literature related to image and speech signal processing based on gender research is searched and a total of 9 papers are selected. In terms of gender analysis, research subjects, research environment, and research design are examined separately. Especially, through the case analysis of algorithms of the elderly voice signal processing, machine learning, machine translation technology, and facial gender recognition technology, we found that there is gender bias in existing algorithms, and which leads to gender analysis is required. We also propose a gendered innovations method integrating sex and gender analysis in algorithm development. Gendered innovations in ICT can contribute to the creation of new markets by developing products and services that reflect the needs of both men and women.

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