The Southland Times

Female-dominated jobs more susceptibl­e to automation – gender pay gap could widen as a result

- Unconsciou­s bias in AI another issue Embrace workforce diversity in all its forms

Female-dominated occupation­s are more vulnerable to automation, which could further widen the gender pay gap, warns recuriting experts Hays.

In its 2019 Hays Global Skills Index, the recruiter warns that while automation has the potential to impact a wide range of jobs, certain occupation­s in traditiona­lly female-dominated areas are more susceptibl­e.

‘‘The gender pay gap has been an ongoing issue of debate for many years, however what hasn’t been considered in detail is the implicatio­ns of technology on traditiona­lly male versus femaledomi­nated careers and therefore gender pay,’’ said Adam Shapley, Managing Director of Hays in New Zealand.

Many occupation­al structures remain gendered. Figures from the Internatio­nal Labour Organisati­on (ILO) and Oxford Economics indicate that more managers, profession­als, technician­s, craftspeop­le and operators are men while women still tend to dominate clerical support roles.

According to Hays, there’s a very real concern around technology taking over the roles largely dominated by women.

Several studies show that female-dominated careers are more susceptibl­e to automation and globalisat­ion. A report by the Internatio­nal

Monetary Fund (IMF) found that women tend to work in occupation­s that contain a greater proportion of routine tasks and fewer abstract tasks than men.

These include secretaria­l, bookkeepin­g, retail assistant and customer service jobs.

‘‘It’s widely accepted that the automation of routine and repetitive tasks is inevitable, which implies that women are more vulnerable to automation than men,’’ said Adam.

‘‘With wages already lower in femaledomi­nated occupation­s, even when educationa­l difference­s are accounted for, the automation of routine jobs will widen the gender pay gap further.’’

Another possible contributo­r to a widening gender pay gap, according to Hays, is the use of AI to screen job candidates and create a shortlist of people to interview.

‘‘Occupation­s involved in the design and programmin­g of artificial intelligen­ce are segregated,’’ said Adam, referring to a World Economic Forum report that found women make up a mere 22% of these workers.

‘‘The lack of diversity in a job that is pivotal to the creation of new and potentiall­y ubiquitous technologi­es is a cause for concern when the unconsciou­s bias of programmer­s and the use of data which is unrepresen­tative of the underlying population could exacerbate current inequaliti­es.’’

Adam cites the example of an algorithm that may interpret the lack of senior women in the corporate world as a reflection of lower levels of ability and therefore result in women not being selected for the shortlist for senior positions.

According to Hays, resolving the division within gender-dominated occupation­s will not only help reduce the gender pay gap but will increase the talent pool on offer for employers.

‘‘Businesses have a part to play by ensuring that they are embracing diversity in all its forms, to make sure there is a fairer balance across roles and industries, and by also upskilling any employee whose role is at risk of automation,’’ said Alistair Cox, Hays CEO.

Adam adds: ‘‘Organisati­ons could offer return to work schemes for mothers who have left employment, helping to encourage participat­ion in the workforce.

‘‘As part of this, government­s and businesses alike should ramp up programs that encourage women to seek careers in traditiona­lly maledomina­ted sectors, such as technology,’’ he said.

 ??  ??

Newspapers in English

Newspapers from New Zealand