Thinking beyond Bias: Analyzing Multifaceted Impacts and Implications of AI on Gendered Labour
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arXiv
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| Autores principales: | , , |
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| Formato: | Preprint |
| Publicado: |
2024
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| _version_ | 1866914846860115968 |
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| author | Mohla, Satyam Bagh, Bishnupriya Guha, Anupam |
| author_facet | Mohla, Satyam Bagh, Bishnupriya Guha, Anupam |
| contents | Artificial Intelligence with its multifaceted technologies and integral role in global production significantly impacts gender dynamics particularly in gendered labor. This paper emphasizes the need to explore AIs broader impacts on gendered labor beyond its current emphasis on the generation and perpetuation of epistemic biases. We draw attention to how the AI industry as an integral component of the larger economic structure is transforming the nature of work. It is expanding the prevalence of platform based work models and exacerbating job insecurity particularly for women. Of critical concern is the increasing exclusion of women from meaningful engagement in the digital labor force. This issue often overlooked demands urgent attention from the AI research community. Understanding AIs multifaceted role in gendered labor requires a nuanced examination of economic transformation and its implications for gender equity. By shedding light on these intersections this paper aims to stimulate in depth discussions and catalyze targeted actions aimed at mitigating the gender disparities accentuated by AI driven transformations. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2406_16207 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Thinking beyond Bias: Analyzing Multifaceted Impacts and Implications of AI on Gendered Labour Mohla, Satyam Bagh, Bishnupriya Guha, Anupam Computers and Society Artificial Intelligence with its multifaceted technologies and integral role in global production significantly impacts gender dynamics particularly in gendered labor. This paper emphasizes the need to explore AIs broader impacts on gendered labor beyond its current emphasis on the generation and perpetuation of epistemic biases. We draw attention to how the AI industry as an integral component of the larger economic structure is transforming the nature of work. It is expanding the prevalence of platform based work models and exacerbating job insecurity particularly for women. Of critical concern is the increasing exclusion of women from meaningful engagement in the digital labor force. This issue often overlooked demands urgent attention from the AI research community. Understanding AIs multifaceted role in gendered labor requires a nuanced examination of economic transformation and its implications for gender equity. By shedding light on these intersections this paper aims to stimulate in depth discussions and catalyze targeted actions aimed at mitigating the gender disparities accentuated by AI driven transformations. |
| title | Thinking beyond Bias: Analyzing Multifaceted Impacts and Implications of AI on Gendered Labour |
| topic | Computers and Society |
| url | https://arxiv.org/abs/2406.16207 |