Gender Technology and the Future of Work

This book PDF is perfect for those who love Social Science genre, written by Mariya Brussevich and published by International Monetary Fund which was released on 08 October 2018 with total hardcover pages 36. You could read this book directly on your devices with pdf, epub and kindle format, check detail and related Gender Technology and the Future of Work books below.

Gender  Technology  and the Future of Work
Author : Mariya Brussevich
File Size : 40,6 Mb
Publisher : International Monetary Fund
Language : English
Release Date : 08 October 2018
ISBN : 9781484379769
Pages : 36 pages
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Gender Technology and the Future of Work by Mariya Brussevich Book PDF Summary

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.

Gender  Technology  and the Future of Work

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

Get Book
Is Technology Widening the Gender Gap  Automation and the Future of Female Employment

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An accessible and timely guide to increasing female presence and leadership in tech companies Tech giants like Apple and Google are among the fastest growing companies in the world, leading innovations in design and development. The industry continues to see rapid growth, employing millions of people: in the US it

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Almost all economies have, or are at least starting to, understand the significance of examining and mainstreaming gender issues in the world of work. Sociocultural evolution and various other factors have helped these developments, but there is still so much more work to be done. Technology has played a substantial

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This book brings together the vast research literature about gender and technology to help designers understand what a gender perspective and a focus on intersectionality can contribute to designing information technology systems and artifacts, and to assist organizations as they work to develop work cultures that are supportive of women

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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

Get Book