Women Are Less Interested in AI Than Men

Artificial intelligence faces a gender-related challenge, which extends beyond the content it generates or any embedded biases within models. According to a recent survey, a significant gender gap exists in AI adoption, particularly among younger workers. The report revealed that Gen Z men are 25% more likely to experiment with AI tools than their female counterparts.

Let’s read the article to understand the reasons behind women’s lower interest in using AI compared to men.

https://theconversation.com/women-are-less-interested-in-ai-than-men-but-using-it-would-help-them-advance-at-work-233511#:~:text=It%20reported%20that%2059%20per%20cent%20of%20male,cent%2C%20compared%20with%2059%20per%20cent%20of%20women.

Vocabulary Questions:

  1. What does the idiom “see the glass as half empty or half full” mean? “In this area, as in so many others, you can see the glass as half empty or half full, depending on how optimistic you are.” Provide two synonyms or similar idioms.
  2. What does the phrase “increase sixfold” mean? “More specifically, between 2023 and 2032, the percentage of jobs with high exposure points to AI could increase sixfold, from eight per cent to 52 per cent.” Use it in a sentence.
  3. What is the meaning of the verb “deplore“? “While we already deplore the fact that women are generally underrepresented in senior management in organizations, this phenomenon is apparently even more marked in the fields of science, technology, engineering and mathematics, and consequently, in AI.” Use it in a sentence and give two synonyms.

Discussion Questions:

  1. Do you find it surprising that men use generative AI more than women? Why or why not?
  2. Do you incorporate AI into your work tasks? If so, which software do you rely on?
  3. Have you undergone any AI training? If yes, was it helpful? If not, would you be open to participating in such training?
  4. Is AI prevalent in your industry, and do you anticipate its usage to evolve over time?
  5. Do you feel more optimistic or apprehensive about what the future holds for AI?
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