Exploration and reflection on the female labor industryin the era of artificial intelligence

Shujia He
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Abstract

Artificial Intelligence (AI) heralds a transformative age in the workforce, marked by heightened efficiencies but also by socio-economic challenges, particularly concerning gender equity. Women, frequently occupying roles susceptible to AI-driven automation, face a disproportionate risk of job displacement. This paper explores AI’s nuanced impact on the employment landscape, where it both exacerbates and mitigates gender disparities. As technology outmoded roles traditionally filled by women, such as those requiring lower technical skills, it also unearthed opportunities for empowerment through remote occupations and increased demand for human-centric expertise. This analysis extends to the cultural and educational underpinnings contributing to the gendered differentiation in technical professions, emphasizing the stereotypes that pigeonhole women as less suited for technical roles. Investigating the imbalances wrought by capitalist values, the study exposes the undervaluation of ‘feminine’ attributes in favor of ‘masculine’ norms of economic productivity. It suggests women’s empowerment in the evolving job market hinges on a systemic shift towards equitable recognition of all work forms, transcending traditional gender roles. In conclusion, redefining work value and leveraging inclusive AI applications emerge as pivotal to counteracting historical biases and ensuring women’s equitable participation alongside men. This comprehensive approach involves reorienting policy, corporate culture, and academic vectors to facilitate a society where diversity is celebrated, and gender parity is achieved. AI, while a disruptor, thus becomes a potential equalizer in the quest for gender-inclusive growth.
人工智能时代女性劳动产业的探索与思考
人工智能(AI)预示着一个劳动力转型时代的到来,其标志是效率的提高,但同时也带来了社会经济方面的挑战,尤其是在性别平等方面。女性经常担任容易受到人工智能自动化影响的职位,她们面临着过高的失业风险。本文探讨了人工智能对就业环境的细微影响,它既加剧了性别差异,也缓解了性别差异。由于技术淘汰了传统上由女性担任的角色,如那些需要较低技术技能的角色,它也通过远程职业和增加对以人为本的专业知识的需求,发掘了增强女性能力的机会。这一分析延伸到了造成技术职业性别差异的文化和教育基础,强调了将女性归为不太适合技术角色的陈规定型观念。研究调查了资本主义价值观造成的不平衡,揭露了 "女性 "特质的价值被低估,而 "男性 "的经济生产力标准则受到青睐。总之,重新定义工作价值和利用包容性的人工智能应用对于消除历史偏见和确保女性与男性平等参与至关重要。这种综合方法涉及调整政策、企业文化和学术载体,以促进建立一个崇尚多样性和实现性别均等的社会。因此,在寻求性别包容性增长的过程中,人工智能虽然是一个破坏者,但也是一个潜在的均衡器。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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