automation, inequalities and the future of work

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Engaging, Learning, Transforming Creating a Research Agenda on Automation and the Future of Work Kevin Hernandez, Research Officer, IDS [email protected] @Khernandez225 #FutureofWork 29 November 2017

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Engaging, Learning, Transforming

Creating a Research Agenda on Automation

and the Future of Work

Kevin Hernandez,

Research Officer, IDS

[email protected]

@Khernandez225

#FutureofWork29 November 2017

Robots could destabilise world through

war and unemployment, says UN

Robots to replace 1 in 3 UK jobs over

next 20 years, warns IPPR

A Farewell To Truckers: Automation Will Make

Driving Jobs All But Obsolete

iPhone manufacturer Foxconn plans to replace

almost every human worker with robots

Police station in China is replacing cops with AI

and face scanners

Engaging, Learning, Transforming

“The situation will have been made the more serious by the advances of

automation. The world of A.D. 2014 will have few routine jobs that cannot be done

better by some machine than by any human being. Mankind will therefore have

become largely a race of machine tenders. Schools will have to be oriented in this

direction . . . It is not only the techniques of teaching that will advance, however, but

also the subject matter that will change. Even so, mankind will suffer badly from

the disease of boredom . . . The lucky few who can be involved in creative work of

any sort will be the true elite of mankind, for they alone will do more than serve a

machine.”

—Isaac Asimov “Visit to the World’s Fair of 2014,” 1964

‘We are being afflicted with a new disease of which some readers may not yet have

heard the name, but of which they will hear a great deal in the years to come—

namely, technological unemployment. This means unemployment due to our

discovery of means of economising the use of labour outrunning the pace at which

we can find new uses for labour.’

—John Maynard Keynes “Economic Possibilities for Our Grandchildren,” 1931

The fear of automation is not new

Engaging, Learning, Transforming

1812The Luddites

Engaging, Learning, Transforming

1956

1940

1928

Engaging, Learning, Transforming

1963

1978

1980

2000Engaging, Learning, Transforming

(Davenport and Kirby 2015)

Engaging, Learning, Transforming

Scary [but Questionable] Stats (WDR 2016)

Engaging, Learning, Transforming

The problem of automation is complex, with multi-directional

impacts

Varying experiences of and resilience to automation

Persona-based foresight

How we have approached it

Engaging, Learning, Transforming

1. Lack of an inter-disciplinary International development research agenda

2. Western-centred debate

3. Abstract aggregate/sectoral studies underpinning 'policy by

template'

4. Lack of Intersectionality & informality

5. Mitigation strategies that are state and market heavy

6. Technology-deterministic‘Technology will [negative verb] humans’ or ‘humans [negative verb] by technology’

Some major gaps and opportunities

Engaging, Learning, Transforming

Robots to replace 1 in 3 UK jobs over

next 20 years, warns IPPR

A Farewell To Truckers: Automation Will Make

Driving Jobs All But Obsolete

Technology-determinism‘Technology will [negative verb] humans’

or

‘humans [negative verb] by technology’

The grammar of technological determinism

Engaging, Learning, Transforming

A shift from thinking of people working for the economy to thinking of an economy working for people

Engaging, Learning, Transforming