The Future of Work
By D. West. 2018
184 citations recorded by the source corpus.
Robots, artificial intelligence, and driverless cars are no longer things of the distant future. They are with us today and will become increasingly common in coming years, along with virtual reality and digital personal assistants. As these tools advance deeper into everyday use, they raise the question?how will they transform society, the economy, and politics? If companies need fewer workers due to automation and robotics, what happens to those who once held those jobs and don't have the skills for new jobs? And since many social benefits are delivered through jobs, how are people outside the workforce for a lengthy period of time going to earn a living and get health care and social benefits? Looking past today's headlines, political scientist and cultural observer Darrell M. West argues that society needs to rethink the concept of jobs, reconfigure the social contract, move toward a system of lifetime learning, and develop a new kind of politics that can deal with economic dislocations. With the U.S. governance system in shambles because of political polarization and hyper-partisanship, dealing creatively with the transition to a fully digital economy will vex political leaders and complicate the adoption of remedies that could ease the transition pain. It is imperative that we make major adjustments in how we think about work and the social contract in order to prevent society from spiraling out of control. This book presents a number of proposals to help people deal with the transition from an industrial to a digital economy. We must broaden the concept of employment to include volunteering and parenting and pay greater attention to the opportunities for leisure time. New forms of identity will be possible when the "job" no longer defines people's sense of personal meaning, and they engage in a broader range of activities. Workers will need help throughout their lifetimes to acquire new skills and develop new job capabilities. Political reforms will be necessary to reduce polarization and restore civility so there can be open and healthy debate about where responsibility lies for economic well-being. This book is an important contribution to a discussion about tomorrow?one that needs to take place today.
Subfields: Economics & Operations Research, Social Sciences & Humanities
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Economics & Operations Research
- P. Restrepo
- Daron Acemoglu
- Daniel S. Schiff
- Andreas Lanitis
- Eleni Dimitriadou
- David H. Autor
- Klaus Prettner
- Holger Strulik
In Social Sciences & Humanities
- P. Restrepo
- Daron Acemoglu
- Ben Shneiderman
- Andreas Lanitis
- Eleni Dimitriadou
- Daniel S. Schiff
- David H. Autor
- Giovanni L. Violante
Citations in the corpus
- A critical evaluation, challenges, and future perspectives of using artificial intelligence and emerging technologies in smart classrooms (2023, methodology): “eventually led to the use of a series of sensors that provide information about the environment along with the integration of AI for processing and making decisions based on the information received by the sensors (Brady et al., 2012; West, 2018).”
- Education for AI, not AI for Education: The Role of Education and Ethics in National AI Policy Strategies (2021, background): “Next, nearly all of the national policy strategies (at least 21 of 24) also include some discussion of labor displacement risks due to automation, and how skill and task content will change (Autor, 2015), urging a need for new policy around education and training (West 2018).”
- AI and Jobs: Evidence from Online Vacancies (2020, methodology): “Our measure of software exposure is from Webb (2020). Establishment software exposure is the standardized mean of occupation software exposure, over the 6 digit SOC occupations for which the establishment posts vacancies in 2010-2012, weighted by the number of vacancies posted per occupation.”
- Six Human-Centered Artificial Intelligence Grand Challenges (2023, background): “Expansion of AI-enabled use cases across a broad spectrum of domains has underscored the benefits and potential risks of AI (Brynjolfsson & McAfee, 2014; PricewaterhouseCoopers, 2017; West, 2018).”