Whoops! Sounds like AI has a real gender problem


There is a global economic gender gap in the AI workforce, which needs to be addressed as soon as possible if the industry doesn’t want to suffer soon – says one of the last WEF’s (World Economic Forum) articles.


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Almost 80% of professionals with AI skills are male. Besides, a gender gap even three times larger than in other industries.

It’s no secret that demand for AI skills is increasing in demand second by second, while the industry might miss out on opportunities to innovate if it excludes half the population from the development process. Imagine you, how only a few women will then be able to participate in the economy as a whole! Still we all aware of the importance of diversity in all her manifestations, which mainly improves innovation, and technology itself.

“In an era when human skills are increasingly important and complementary to technology, the world cannot afford to deprive itself of women’s talent in sectors in which talent is already scarce”

In addition, the research found that women working in AI are less likely to be positioned in senior roles. The data demonstrate that women are generally work in the use and application of AI, with common positions including data analytics, research, and teaching, whereas men tend to work in the development of the technology itself as software engineers, heads of engineering or IT, or as chief executives. In short, women are “growing but not gaining”. Male AI professionals will continue to outnumber women, even as both genders continue to gain AI skills. At the current pace, WEF estimates it will take 202 years to close the gap women face in the workplace. That figure is based on differences in earnings, workforce participation and the number of women in top jobs.

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Solution!

Remember, there is always a way out, we should just make a step forward! To break the cycle of gender imbalance, it is critical to ensure that women at all stages of their careers are being inspired to actively take part in the development and use of new technologies and it concerns not only the case with AI.

“Industries must proactively hardwire gender parity in the future of work through effective training, reskilling and upskilling interventions and tangible job transition pathways, which will be key to narrowing these emerging gender gaps and reversing the trends we are seeing today. It’s in their long-term interest because diverse businesses perform better”

Not less important is the understanding of the ways that gender gaps manifest across different industries, occupations, and skills. Research and data can illuminate the persistent challenges faced by women while making decisions concerning employment.

References:

https://www.weforum.org/agenda/2018/12/artificial-intelligence-ai-gender-gap-workplace/

http://time.com/5481899/world-economic-forum-gender-gap/

https://www.independent.co.uk/life-style/women/women-ai-automation-lose-jobs-gender-gap-report-2018-world-economic-forum-a8688571.html

https://www.irishtimes.com/business/technology/concerns-over-huge-gender-gap-in-artificial-intelligence-workforce-1.3740900

https://futurism.com/lunar-lander-spaceil-spacex-delay

 

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Puhach Anhelina

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