Empowering Career Crafting in the Future of Work with Data-driven Tools

The rapid advancement of technology, particularly in the realm of A.I., is causing significant shifts in work dynamics and career paths. Automation driven by A.I. is reshaping tasks and job requirements, pressuring workers to constantly upskill to remain relevant in a rapidly changing professional landscape. Predictions suggest a need for around 12 million occupational transitions in the U.S. by 2030. Low-skill workers face the greatest challenges in reskilling, while the evolving skill landscape lacks clear guidance for workers. Organizations must prioritize helping employees adapt to technological progress to ensure retention and productivity. To address these issues, it’s essential to develop tools that empower the workforce to identify skill gaps and navigate career changes. This dissertation delves into the transformative effects of technology on work and careers, exploring the interplay between A.I. advancements, changing career trajectories, and the need for effective tools to support workers. The work reviews the impact of technology on labor, examines evolving career concepts, introduces the philosophy of Value-Sensitive Design (VSD) for creating decision-making tools, and presents prototypes aimed at assisting individuals in making informed career choices, ultimately contributing valuable insights to the evolving world of work.

Name thesis:degree_name

Doctoral

Department dc:contributor.department

Program in Media Arts and Sciences (Massachusetts Institute of Technology)

Grantor dc:publisher

Massachusetts Institute of Technology

Year dc:date.issued

2023

Author dc:creator

• Saa, Isabella Loaiza

Advisor dc:contributor.advisor

• Pentland, Alex

Statement dc:rights

• In Copyright - Educational Use Permitted
• Copyright retained by author(s)

Licence dc:rights.uri

• https://rightsstatements.org/page/InC-EDU/1.0/

Handle dc:identifier.uri

https://hdl.handle.net/1721.1/152682

OAI identifier oai:identifier

oai:dspace.mit.edu:1721.1/152682