Organizing workers and machine learning tools for a less oppressive workplace

作者：

Highlights：

• A normative emancipatory organizing theory.

• How to organize the future of work to prevent worker oppression.

• Practical insights for preventing subjugation of workers to artificial intelligence.

• Discussion of the rights and obligations of humans and machine learning tools at work.

• Call for future research on emancipatory organizing and designing for the future.

摘要

•A normative emancipatory organizing theory.•How to organize the future of work to prevent worker oppression.•Practical insights for preventing subjugation of workers to artificial intelligence.•Discussion of the rights and obligations of humans and machine learning tools at work.•Call for future research on emancipatory organizing and designing for the future.

论文关键词：Artificial intelligence,Emancipatory organizing theory,Oppression,Organizing for the future of work,Normative theory,Machine learning

论文评审过程：Received 14 October 2020, Revised 2 April 2021, Accepted 4 April 2021, Available online 14 April 2021, Version of Record 14 April 2021.

论文官网地址：https://doi.org/10.1016/j.ijinfomgt.2021.102353