Making AI Machines Work for Humans in FoW

Sihem Amer-Yahia, Senjuti Basu Roy, Lei Chen, Atsuyuki Morishima, James Abello Monedero, Pierre Bourhis, François Charoy, Marina Danilevsky, Gautam Das, Gianluca Demartini, Abhishek Dubey, Shady Elbassuoni, David Gross-Amblard, Emilie Hoareau, Munenari Inoguchi, Jared Kenworthy, Itaru Kitahara, Dongwon Lee, Yunyao Li, Ria Mae BorromeoPaolo Papotti, Raghav Rao, Sudeepa Roy, Pierre Senellart, Keishi Tajima, Saravanan Thirumuruganathan, Marion Tommasi, Kazutoshi Umemoto, Andrea Wiggins, Koichiro Yoshida

Research output: Contribution to journalArticlepeer-review

8 Scopus citations


The Future of Work (FoW) is witnessing an evolution where AI systems are used to the benefit of humans. Work here refers to all forms of paid and unpaid labor in both physical and virtual workplaces and that is enabled by AI systems. This covers crowdsourcing platforms such as Amazon Mechanical Turk, online labor marketplaces such as TaskRabbit and Qapa, but also regular jobs in physical workplaces. Bringing humans back to the frontier of FoW will increase their trust in AI systems and shift their perception to use them as a source of self-improvement, en sure better work performance, and positively shape social and economic outcomes of a society and a nation. To enable that, physical and virtual work places will need to capture human traits, behavior, evolving needs, and provide jobs to all. Attitudes, values, opinions regarding the processes and policies will need to be assessed and considered in the design of FoW ecosystems.

Original languageEnglish (US)
Pages (from-to)30-35
Number of pages6
JournalSIGMOD Record
Issue number2
StatePublished - Dec 9 2020

All Science Journal Classification (ASJC) codes

  • Software
  • Information Systems


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