[PDF] Automation Exposure And Implications In Advanced And Developing Countries Across Gender Age And Skills eBook

Author : Mariya Brussevich
Publisher : International Monetary Fund
Page : 37 pages
File Size : 17,96 MB
Release : 2019-05-06
Category : Technology & Engineering
ISBN : 1498303749

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Using individual level data on task composition at work for 30 advanced and emerging economies, we find that women, on average, perform more routine tasks than men?tasks that are more prone to automation. To quantify the impact on jobs, we relate data on task composition at work to occupation level estimates of probability of automation, controlling for a rich set of individual characteristics (e.g., education, age, literacy and numeracy skills). Our results indicate that female workers are at a significantly higher risk for displacement by automation than male workers, with 11 percent of the female workforce at high risk of being automated given the current state of technology, albeit with significant cross-country heterogeneity. The probability of automation is lower for younger cohorts of women, and for those in managerial positions.

Author : Lukas Schlogl
Publisher : Springer Nature
Page : 108 pages
File Size : 16,96 MB
Release : 2020-01-13
Category : Social Science
ISBN : 3030301311

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This open access book examines the future of inequality, work and wages in the age of automation with a focus on developing countries. The authors argue that the rise of a global ‘robot reserve army’ has profound effects on labor markets and economic development, but, rather than causing mass unemployment, new technologies are more likely to lead to stagnant wages and premature deindustrialization. The book illuminates the debate on the impact of automation upon economic development, in particular issues of poverty, inequality and work. It highlights public policy responses and strategies–ranging from containment to coping mechanisms—to confront the effects of automation.

Author : Mariya Brussevich
Publisher : International Monetary Fund
Page : 37 pages
File Size : 50,65 MB
Release : 2019-05-06
Category : Technology & Engineering
ISBN : 1498313809

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Using individual level data on task composition at work for 30 advanced and emerging economies, we find that women, on average, perform more routine tasks than men?tasks that are more prone to automation. To quantify the impact on jobs, we relate data on task composition at work to occupation level estimates of probability of automation, controlling for a rich set of individual characteristics (e.g., education, age, literacy and numeracy skills). Our results indicate that female workers are at a significantly higher risk for displacement by automation than male workers, with 11 percent of the female workforce at high risk of being automated given the current state of technology, albeit with significant cross-country heterogeneity. The probability of automation is lower for younger cohorts of women, and for those in managerial positions.

Author : Mariya Brussevich
Publisher : International Monetary Fund
Page : 36 pages
File Size : 42,17 MB
Release : 2018-10-08
Category : Social Science
ISBN : 1484379764

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New technologies?digitalization, artificial intelligence, and machine learning?are changing the way work gets done at an unprecedented rate. Helping people adapt to a fast-changing world of work and ameliorating its deleterious impacts will be the defining challenge of our time. What are the gender implications of this changing nature of work? How vulnerable are women’s jobs to risk of displacement by technology? What policies are needed to ensure that technological change supports a closing, and not a widening, of gender gaps? This SDN finds that women, on average, perform more routine tasks than men across all sectors and occupations?tasks that are most prone to automation. Given the current state of technology, we estimate that 26 million female jobs in 30 countries (28 OECD member countries, Cyprus, and Singapore) are at a high risk of being displaced by technology (i.e., facing higher than 70 percent likelihood of being automated) within the next two decades. Female workers face a higher risk of automation compared to male workers (11 percent of the female workforce, relative to 9 percent of the male workforce), albeit with significant heterogeneity across sectors and countries. Less well-educated and older female workers (aged 40 and above), as well as those in low-skill clerical, service, and sales positions are disproportionately exposed to automation. Extrapolating our results, we find that around 180 million female jobs are at high risk of being displaced globally. Policies are needed to endow women with required skills; close gender gaps in leadership positions; bridge digital gender divide (as ongoing digital transformation could confer greater flexibility in work, benefiting women); ease transitions for older and low-skilled female workers.

Author : Mr.Carlos Mulas-Granados
Publisher : International Monetary Fund
Page : 32 pages
File Size : 38,24 MB
Release : 2019-12-20
Category : Technology & Engineering
ISBN : 1513519905

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We exploit a survey data set that contains information on how 11,000 workers across advanced and emerging market economies perceive the main forces shaping the future of work. In general, workers feel more positive than negative about automation, especially in emerging markets. We find that negative perceptions about automation are prevalent among workers who are older, poorer, more exposed to job volatility, and from countries with higher levels of robot penetration. Perceptions over automation are positively viewed by workers with higher levels of job satisfaction, higher educational attainment, and from countries with stronger labor protection. Workers with positive perceptions of automation also tend to respond that re-education and retraining will be needed to adapt to rapidly evolving skill demands. These workers expect governments to have a role in shaping the future of work through protection of labor and new forms of social benefits. The demand for protection and benefits is more significant among women and workers that have suffered job volatility.

Author : Collett, Clementine
Publisher : UNESCO Publishing
Page : 81 pages
File Size : 42,86 MB
Release : 2022-03-08
Category : Political Science
ISBN : 9231005138

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The development and use of Artificial Intelligence (AI) continue to expand opportunities for the achievement of the 17 United Nations Sustainable Development Goals (SDGs), including gender equality. Taking a closer look at the intersection of gender and technology, this collaboration between UNESCO, the Inter-American Development Bank (IDB) and the Organisation for Economic Co-operation and Development (OECD) examines the effects of AI on the working lives of women. This report describes the challenges and opportunities presented by the use of emerging technology such as AI from a gender perspective. The report highlights the need for more focus and research on the impacts of AI on women and the digital gender gap, in order to ensure that women are not left behind in the future of work.

Author : Raquel Fernández
Publisher : International Monetary Fund
Page : 50 pages
File Size : 27,16 MB
Release : 2021-03-04
Category : Social Science
ISBN : 1513571168

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This paper considers various dimensions and sources of gender inequality and presents policies and best practices to address these. With women accounting for fifty percent of the global population, inclusive growth can only be achieved if it promotes gender equality. Despite recent progress, gender gaps remain across all stages of life, including before birth, and negatively impact health, education, and economic outcomes for women. The roadmap to gender equality has to rely on legal framework reforms, policies to promote equal access, and efforts to tackle entrenched social norms. These need to be set in the context of arising new trends such as digitalization, climate change, as well as shocks such as pandemics.