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Recent research reveals that the adoption of generative artificial intelligence (AI) by companies in the US has a disproportionate impact on women. According to a recent analysis, approximately 79% of the jobs lost to AI were held by women. This difference can be due to several factors.

Women are more likely to work in industries that are highly be influenced by automation, such as retail, hospitality, and administrative support. These sectors often involve repetitive tasks that can be easily automated by AI technologies. Consequently, women employed in these industries face a higher risk of job displacement.

Gender biases in AI algorithms (运算法则) can worsen the situation for women. AI systems are trained on historical data, which may reflect existing gender biases in hiring and promotion practices. This can result in biased decision-making during recruitment and performance evaluations, putting women at a disadvantage in the workplace.

The lack of diversity in the development of AI technologies contributes to the gender difference. The underrepresentation (代表名额不足) of women in the field of AI means that their perspectives and experiences are not adequately considered during the design and development process. As a result, AI systems may not fully understand or cater to the needs of women, continuously leading to gender inequalities.

To address these challenges, it is crucial to prioritize diversity and inclusion in the development and deployment of AI technologies. This involves increasing the representation of women in AI-related fields and ensuring diverse perspectives are considered during the design and testing phases. Additionally, companies should actively work towards eliminating gender biases in AI algorithms and regularly assess their impact on different demographic groups.

In conclusion, although men currently dominate the labor market, women bear a disproportionate burden due to the adoption of generative AI. The combination of industry composition, gender biases in algorithms, and lack of diversity in AI development contribute to this disparity. To relieve these effects, it is essential to prioritize diversity and inclusion in AI development and address gender biases in algorithms. Only through these efforts can we ensure that the benefits of AI are distributed equitably among all individuals, regardless of gender.

1．Why are women in the US workforce more influenced by the adoption of generative AI than men?

A．Women are less adaptable to technological changes.

B．Women have a lower level of education compared to men.

C．Women are generally less skilled in technology and AI-related fields.

D．Women are more likely to work in industries that are highly automatable.

2．Which of the following strategies can reduce the potential negative impact on women?

A．Increasing gender proportion in AI development teams.

B．Providing targeted training and programs for women and giving them more chances in AI-related fields.

C．Encouraging women to pursue careers in non-automatable industries.

D．Offering financial supports to companies that prioritize gender diversity in AI programmes.

3．Why is it important to prioritize diversity and inclusion in AI development?

A．It ensures equal opportunities for women in the workforce.

B．It promotes innovation and creativity in AI solutions.

C．It reduces the risk of biased algorithms that perpetuate gender inequalities.

D．It improves the overall performance and effectiveness of AI systems.

4．What is the main idea of the article?

A．The impact of AI on job losses in the US.

B．The role of women in AI-related fields.

C．Gender biases in AI algorithms and their effects on women.

D．Solutions to address challenges faced by women due to generative AI.