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Link to original content: https://doi.org/10.14236/ewic/EVA2024.11
Evaluating the Impact of Artificial Intelligence Generative Technologies on Representations and Artistic Creation in Women's Books Nüshu – ScienceOpen
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      Evaluating the Impact of Artificial Intelligence Generative Technologies on Representations and Artistic Creation in Women's Books Nüshu

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      Proceedings of EVA London 2024 (EVA 2024)
      Since 1990, the EVA London Conference has established itself as one of the United Kingdom’s most innovative and interdisciplinary conferences in the field of digital visualisation. The papers and abstracts in this volume cover areas such as the arts, culture, heritage, museums, music, performance, visual art, and visualisation, as well as related interdisciplinary areas, in combination with technology. The latest research and work by early career researchers, established scholars, practitioners, research students, and visual artists, can be found in this volume, published in full colour.
      8–12 July 2024
      Nüshu, Artificial intelligence, Generative art, Encoding decoding, Intangible cultural heritage
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            Abstract

            Artificial Intelligence-Generated Content (AIGC), such as text and image generators, provides a way to generate content automatically. However, these technologies have created questions about social dimensions such as representation and identity. Based on AIGC and traditional Chinese women’s writing culture, this paper explores how it has evolved into a unique system under extreme conditions and influenced today’s women’s movement. It further explores the development of AI and other technologies on it. Unfortunately, the data trained by AIGC still has a gap with reality and a particular algorithmic bias. The authors hope this study will remove bias from art creation and alleviate the disconnect between AI art, artistic integrity, and cultural equality.

            Content

            Author and article information

            Contributors
            Conference
            July 2024
            July 2024
            : 61-68
            Affiliations
            [0001]Nanyang Technological University

            Singapore
            [0002]University of Auckland

            New Zealand
            [0003]Hong Kong University of Science and Technology

            Hong Kong Polytechnic University

            Hong Kong SAR
            Article
            10.14236/ewic/EVA2024.11
            80a95a92-82aa-41cd-8bfc-fa3621b148ef
            © Wang et al. Published by BCS Learning and Development Ltd. Proceedings of EVA London 2024, UK

            This work is licensed under a Creative Commons Attribution 4.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/

            Proceedings of EVA London 2024
            EVA 2024
            London
            8–12 July 2024
            Electronic Workshops in Computing (eWiC)
            Since 1990, the EVA London Conference has established itself as one of the United Kingdom’s most innovative and interdisciplinary conferences in the field of digital visualisation. The papers and abstracts in this volume cover areas such as the arts, culture, heritage, museums, music, performance, visual art, and visualisation, as well as related interdisciplinary areas, in combination with technology. The latest research and work by early career researchers, established scholars, practitioners, research students, and visual artists, can be found in this volume, published in full colour.
            History
            Product

            1477-9358 BCS Learning & Development

            Self URI (article page): https://www.scienceopen.com/hosted-document?doi=10.14236/ewic/EVA2024.11
            Self URI (journal page): https://ewic.bcs.org/
            Categories
            Electronic Workshops in Computing

            Applied computer science,Computer science,Security & Cryptology,Graphics & Multimedia design,General computer science,Human-computer-interaction
            Generative art,Artificial intelligence,Encoding decoding,Nüshu,Intangible cultural heritage

            REFERENCES

            1. Adorno, T. & Horkheimer, M (1944) The culture industry: Enlightenment as mass deception.

            2. Bal, M. (2022) Image-thinking: Artmaking as Cultural Analysis. Edinburgh University Press.

            3. Chen, Q. (2006) Nu Han zidian. Zhongyang minzu daxue.

            4. China Intangible Cultural Heritage Digital Museum, https://www.ihchina.cn/Article/Index/detail?id=15067, Accessed on August 28, 2023.

            5. Gong, z. b. Nu Xing Wen Zi Yu Nu Xing she Hui. Xin jiang ren min chu ban she, 1995.

            6. Hall, S. (1973) Encoding and Decoding in the television discourse. Discussion Paper. University of Birmingham, Birmingham. https://epapers.bham.ac.uk/2962/

            7. Han Xu & Xing Zhiqiang. (2023) Writing, Technology and Ideal:Taking Founder CAA Jindao Font Design as an Example [ZHUANGSHI],2023(2), pp. 18-23 (Feb 2023).

            8. Hou, X., Li, Y., Shao, Y., and Kong, J. (2019) The languages and dialects of the Nanling area in China. Journal of Chinese Linguistics Monograph Series, 29, pp. 264–285.

            9. Hu, X. (2022a). Authenticity issues in nüshu cultural heritage in China: Authentication, discourse, and identity-making. In Cultures of Authenticity. Emerald Publishing Limited, pp. 43–61.

            10. Hu, X. (2022b) Studies on the Heritagisation of "Nüshu" in China: Heritage Discourses and Identity-Making. PhD thesis, University of Leicester.

            11. Idema, W. L. (2012) Heroines of Jiangyong: Chinese Narrative Ballads in Women’s Script. University of Washington Press.

            12. Liu, F.-W. (1997) Women who de-silence themselves: Maleillegible literature (Nushu) and female-specific songs (Nuge) in Jiangyong County, Hunan Province, China. Syracuse University.

            13. Liu, F.-W. (2004) Literacy, gender, and class: Nüshu and sisterhood communities in southern rural hunan. Nan nü 6 (2), pp. 241–282.

            14. Mitchell, W. J. T. (1986) Iconography: Image, Text, and Ideology. The University of Chicago Press.

            15. Morgner, C., Hu, X., Ikeda, M., and Selg, P. (2022) Digital heritage politics from the perspective of relational sociology: the case of nüshu culture in China. International Review of Sociology 32 (2), pp. 265–289.

            16. Morley, D. (2006) Unanswered questions in audience research. Communication Review 9 (2), pp. 101-121.

            17. Ross, S. (2011) The encoding/decoding model revisited: Annual Meeting of the International Communication Association.

            18. Sun, Y., Tang, Y., Gao, Z., Pan, Z., Xu, C., Chen, Y., Qian, K., Wang, Z., Braud, T., Lee, C. H., and Asadipour, A. (2023) AI Nüshu: An exploration of language emergence in sisterhood through the lens of computational linguistics. In SIGGRAPH Asia 2023 Art Papers (SA '23). Association for Computing Machinery, New York, NY, USA, Article 4, 1–7. https://dl.acm.org/doi/10.1145/3610591.3616427 .

            19. Xie, Z. (1990) The Nature of the Writing System of Nvshu. Journal of South-Central University for Nationalities, Humanities and Social Sciences.

            20. Zhang, Y., and Zhang, L. (2023) Sgooty: A scheme combining the googlenet-tiny and yolov5-cbam models for nüshu recognition. Electronics 12 (13), 2819.

            21. Zhao, L. (1998) Nüshu: Chinese women’s characters. International Journal of the Sociology of Language, vol 1998 (Issue 129), pp. 127-138. https://doi.org/10.1515/ijsl.1998.129.127

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