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MIT's Work of the Future Task Force

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workofthefuture.mit.edu·workofthefuture.mit.edu/

Relevant to AI safety discussions around socioeconomic impacts of automation and AI deployment; focuses on labor economics rather than technical safety, but informs governance debates about responsible AI deployment and distributional consequences.

Metadata

Importance: 38/100homepage

Summary

MIT's Work of the Future Initiative conducts multidisciplinary research on how automation, robotics, and AI technologies are transforming labor markets and work organization. It examines how technological advances can be designed and deployed to improve job quality and economic security for workers, with a dedicated working group focused on generative AI's implications for employment.

Key Points

  • Multidisciplinary research initiative examining intersections of automation, AI, and labor market outcomes, grown from MIT's 2018-2020 Task Force
  • Generative AI Working Group convenes industry, policy, and academic leaders to study how GenAI design can support higher-quality jobs and inclusive access
  • Automation Clinic studies real-world deployment challenges and consequences for workers, customers, and society
  • Research highlights gap between automation promises and reality: limited adoption, and productivity gains often offset by reduced process flexibility
  • Investigates work organization models that could deliver broad economic benefits to frontline workers, analogous to mid-20th century factory jobs

Cited by 2 pages

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Work Of The Future | IPC 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

 
 
 
 
 

 
 
 

 
 

 
 
 
 
 
 
 
 

 

 
 
 

 
 

 
 
 
 MIT Work of the Future

 New technologies, better jobs

 
 
 
 
 
 
 
 The Initiative

 We envision an economy where dramatic advances in automation and computation go hand in hand with improved opportunities and economic security for workers. Growing out of MIT's Work of the Future Task Force (2018-2020), the Work of the Future Initiative at the Industrial Performance Center conducts multidisciplinary research on the ways technology is changing work. 

 
 
 
 
 
 
 
 
 
 Generative AI Working Group

 MIT’s Work of the Future Initiative is convening a multidisciplinary working group of industry, policy, and academic leaders to examine how the design and implementation of generative AI tools can contribute to higher-quality jobs and inclusive access to the latest technologies. 

 
 
 
 Generative AI + Work of the Future 
 
 
 
 
 
 
 
 
 
 
 
 Automation Clinic

 The Automation Clinic is an applied research and education program to understand how organizations make new technologies work in practice. MIT researchers and their partners work with organizations to learn the problems they aim to solve with automation, the challenges they face in deploying them, and the consequences for workers, customers, and society.

 
 
 
 MIT Automation Clinic 
 
 
 
 
 
 
 

 
 
 
 
 
 
 Article | September 24, 2023 

 
 
 A Smarter Strategy for Using Robots

 
 
 
 
 Despite advances in automation technology, the promise of productive and flexible automation, with minimal involvement of human workers, is far from reality, for two main reasons. First, adoption of automation technology has been limited. Second, when firms do automate, what they gain in productivity they tend to lose in process flexibility, resulting in what the […]

 
 
 View Publication 
 

 
 

 
 

 
 
 
 

 Publications

 
 
 
 February 9, 2024 

 
 
 Work Organization and High-paying Jobs

 
 
 Nathan Wilmers 
 
 Faculty Affiliate, Work of the Future 

 Dylan Nelson 
 
 Dylan Nelson is a Work of the Future Fellow and a postdoctoral scholar at MIT Sloan. 

 
 
 
 Letian Zhang

 
 
 High-paying factory jobs in the 1940s were an engine of egalitarian economic growth for a generation. Are there alternate forms of work organization that deliver similar benefits for frontline workers? Work organization varies by types of complexity and their degree of employer control. Technical and tacit knowledge tasks receive higher pay for signaling or developing […]

 

 
 View PDF 
 

 
 
 
 Article | October 9, 2023 

 
 
 The State of Industrial Robotics: Emerging Technologies, Challenges, and Key Research Directions

 
 
 Julie Shah 
 
 Julie Shah is Faculty Director of the Industrial Performance Center and co-leads the Work of the Future Initiative. 

 Lindsay Sanneman 
 
 Lindsay Sanneman is a PhD candidate in the Department of Aeronautics and Astronautics at MIT 

 Christop

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