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Women are less interested in AI than men, but using it would help them advance at work

Technology / analysis
Women are less interested in AI than men, but using it would help them advance at work
The fact that women are lagging behind in the use and mastery of artificial intelligence is threatening their progress in the labour market. (Shutterstock)
The fact that women are lagging behind in the use and mastery of artificial intelligence is threatening their progress in the labour market. (Shutterstock)

By Louise Champoux-Paillé & Anne-Marie Croteau*

Women use generative artificial intelligence tools less than men do.

The World Economic Forum recently published an article on the subject. It reported that 59 per cent of male workers aged between 18 and 65 use generative artificial intelligence at least once a week, compared with 51 per cent of women.

Among young people aged 18 to 25, the percentage of men using AI is 71 per cent, compared with 59 per cent of women. It’s a difference of 12 percentage points, which is considerable.

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.

Overwhelming statistics

Women are less likely to adopt this new technology. This is a worrying finding since, according to a study by Oxford Economics and Cognizant, 90 per cent of jobs will be affected by generative AI by 2032. 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.

A Goldman Sachs report provides a more precise idea of this impact according to job type and gender. The Kenan Institute has established that nearly 80 per cent of today’s female workers are in jobs exposed to automation via generative AI, compared with 58 per cent of men.

These jobs held by women that involve automation will not be replaced by artificial intelligence, per se, but by people who have mastered AI.

At the moment, that means men.

To reverse this trend, women are being urged to make efforts to redefine or increase their knowledge and skills in this area.

Another factor gives cause for even greater concern. According to a training expert on the Coursera platform, women are underrepresented in the development of AI-related skills. In fact, three times as many men as women sign up for the most popular AI training courses on this platform.

Part of the explanation may be that, according to a survey carried out by Cognizant, women are less convinced of the benefits of using artificial intelligence than men are. Women are less likely to think that generative AI will enable them to develop new skills (40 per cent compared with 51 per cent of men), change jobs (36 per cent compared with 44 per cent), create new opportunities (33 per cent compared with 40 per cent) or increase their income (35 per cent compared with 42 per cent).

Women are poorly represented in this sector of the future, according to the report by Québec’s Conseil du statut de la femme (Council on the Status of Women) entitled “L'intelligence artificielle : des risques pour l'égalité entre les femmes et les hommes” (Artificial intelligence: risks for gender equality). According to this document, of the 45,000 professional positions in digital intelligence listed for 2021 in Québec, barely 19 per cent were filled by women. This is a damning statistic.

And then there’s the matter of the low representation of women in senior management positions in the field of artificial intelligence. 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.

Opportunities for women

But let’s change perspective now. If we identify the opportunities linked to artificial intelligence in tomorrow’s world of work, we can see the glass as half full.

As we mentioned earlier, it’s women’s jobs that will be most affected by generative AI over the next few years. These fields will offer the best career opportunities for women if we find a way to take our place in them.

Thanks to the complementary perspectives and visions women bring to these male-dominated organisations, women can become agents of change in making these new technologies more inclusive. We could do this by better detecting the biases that influence the quality of the data produced by algorithms or amplify the discrimination inherent in our societies.

This is in addition to the many other generally recognised benefits that a greater female presence brings to organisations.

This positive reading of the situation is not a pipe dream. It’s based on the conclusions of a study carried out by professors Anahita Hajibabaei, Andrea Schiffauerova, and Ashkan Ebadi, who note a clear change in the situation over the last two decades.

In the words of Professor Louise Lafortune, co-author of the Manifesto for Women in STEM:

Reaching 30 per cent or 50 per cent female representation in a field does not mean that all other issues have been solved. We have to continue to strive to ensure, among other things, the well-being of women in STEM workplaces, that organizations ensure the proper integration of women, and that women are encouraged to take on leadership roles. This is how women will have good careers in these highly rewarding fields.

A great deal of research has been carried out and published on the difficulties women encounter in male-dominated environments. Directly or indirectly, these articles argue in favour of a more inclusive organisational culture that better promotes female talent and women’s progression within organisations.

With the support of the leaders of private and public organisations, women will have to adopt innovative and bold strategies to ensure that AI integration allows them to keep up their momentum, not hinder it, on the winding road to parity.

The challenges associated with the potential discrimination inherent in AI have an ethical character that needs to be further studied. Avoiding the harmful effects of AI will help make our society fairer.The Conversation


*Louise Champoux-Paillé, Cadre en exercice, John Molson School of Business, Concordia University and Anne-Marie Croteau, Dean, John Molson School of Business, Concordia University.

This article is republished from The Conversation under a Creative Commons license. Read the original article.

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6 Comments

Male performance has a wider bell curve than female performance. You'll see more top performers are male but also more of the prison population is male. So of course if you're looking at the very peak of performance, the very right tail of the distributions then it's going to be nearly all men. This doesn't mean there is anything iniquitous or deliberate going on and I think authors of pieces like this are being disingenuous by expecting equality of outcome rather than equality of opportunity. I don't see many women arguing for more representation in low status or dangerous jobs men dominate like forestry work.

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So UK stats below....        Comp Sci and Eng , only 19% of those studying identify as female.

Big fields of which many will have only passing interest in AI,  Their will be fewer female Leader role models in these fields unless more enter.

 

Physical sciences

Female – 22,400 – 39%
Male – 34,800 – 61%
Total – 57,240

Between 2017 and 2018, 39% of students studying physical sciences were female.

Mathematic sciences

Female – 14,100 – 37%
Male – 24,335 – 63%
Total – 38,465

In the same period, the percentage of female students studying mathematical sciences was just 37%.

Computer sciences

Female – 4,525 – 19%
Male – 19,550 – 81%
Total – 24,090

When we looked at the UCAS data for students studying computer sciences related degrees, only 19% were female, with a staggering 81% of students being male.

Engineering and technology

Female – 23,650 – 19%
Male – 102,970 – 81%
Total – 126,660

Similarly, the percentage of female students studying engineering and technology degrees made up a mere 19% of the total students between 2017 and 2018.

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The NZ Gen AI company Yabble sold to YouGov was founded by and driven by women. Possibly NZ's most commercially successful foray into Gen AI. 

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I think the point is that if you chase certain targets of equality as a company, you need to make sure it the pool of entrants is of similar make-up. Otherwise as a hiring manager you're creating inequity elsewhere.

If the grad pool is showing ~19%, and there are large companies looking for a 50/50 male/female engineering split, then the remaining pool of grads will be <19%. It's a virtue cost.

Will be interesting to see what this looks like in the next 10-20 years.

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Yes girls & women are heavily encouraged and often even indoctrinated towards nursing, teaching & mothering, regardless of aptitude or desire. So many have their wings clipped and discouraged heavily from STEM study. Unfortunately this plays out in tertiary education. Then from there the pool of women is reduced further by an incredibly toxic hostile industry in tech, where both sexual harassment, hate raids, career discrimination & TGTFO are common in the backend. It does not get better for women in the field when it comes to the hiring and promotion side with clear court cases in All big name companies. Name our largest producers of software & hardware in tech and there will be significant gender harassment & discrimination cases (if in the US or EU these will most likely have gone through the courts as well).

Then lets take little ol NZ with its even more parochial attitudes, with even big names like Weta adding female staff to the gangbang porn group mailing list by default (not to also forget keeping the female staff at arms length more as contractors instead). Lets say, tech is not a good industry for women who do make it through to be highly skilled & experienced. If you feel like swimming in sewage with toxic colleagues you have it pretty much in buckets. But most of the discouragement of women from tech happens far before they even leave primary school and intermediate. Right back to the influence on their choices in high school courses and the influence parents and their community have over them. I have seen it in many offices but since I have an oeuvre for research and keeping track of legal cases I stay abreast of the wider studies and it interests me the tech industry foibles & characteristics. The stark imbalance is more from the early societal indoctrination of girls then anything. Start young and they will be less inclined even to learn the subjects.

Remember the "maths is hard" joke from the 60s, 70s and 80s, well we are seeing the results of that culture and others that discourage women learning. So prevalent that it made it into popular media like the Simpsons to made snide jokes about.

https://www.youtube.com/watch?v=00xfi9RBloo

Then people claim it is because women are not suited to tech. Don't fit in etc etc. It is all pretty path of the course. If you want to see how early indoctrination of young women is successful in restricting their freedom, education & careers just take a look at Gloriavale. Most of society in NZ is just a slightly watered down version of the same attitudes as those in Gloriavale. It is mainly just the rich families that advertise more opportunities to break away and provide more options to their kids.

It used to be that women were so skilled they were the computers, now they are treated as if they cannot do basic maths with such media social campaigns like "Girl Math" that really lower the bar less then the height of a turd. It gets worse when the expectation on female scientists is more on their appearance & family then on the quality of their work, see even the treatment of NZ female scientists in media.

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Lies, damn lies and statisitics. Years ago the Herald reported Asian drivers over some long period had a 6% chance of an accident whereas Kiwis only had a 3% chance. Of course there were no details about age range, male/female ratios, location (immigrants are more likely to live in cities) or distances travelled. It was left as Asians being twice as bad as Kiwis. But just consider the other side - in that same period 94% of Asian drivers and 97% of Kiwis had no accident - and it seems very similar ratios of safe drivers exist in both communities.

I'd interpret the title as most people male and female are uninterested in AI.

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