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Future of work: ethics

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  • David Pastor-Escuredo

Abstract

Work must be reshaped in the upcoming new era characterized by new challenges and the presence of new technologies and computational tools. Over-automation seems to be the driver of the digitalization process. Substitution is the paradigm leading Artificial Intelligence and robotics development against human cognition. Digital technology should be designed to enhance human skills and make more productive use of human cognition and capacities. Digital technology is characterized also by scalability because of its easy and inexpensive deployment. Thus, automation can lead to the absence of jobs and scalable negative impact in human development and the performance of business. A look at digitalization from the lens of Sustainable Development Goals can tell us how digitalization impact in different sectors and areas considering society as a complex interconnected system. Here, reflections on how AI and Data impact future of work and sustainable development are provided grounded on an ethical core that comprises human-level principles and also systemic principles.

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  • David Pastor-Escuredo, 2021. "Future of work: ethics," Papers 2104.02580, arXiv.org.
    • Handle: RePEc:arx:papers:2104.02580
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    References listed on IDEAS

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    1. David Pastor-Escuredo & Yolanda Torres & María Martínez-Torres & Pedro J. Zufiria, 2020. "Rapid Multi-Dimensional Impact Assessment of Floods," Sustainability, MDPI, vol. 12(10), pages 1-20, May.
    2. Pedro J Zufiria & David Pastor-Escuredo & Luis Úbeda-Medina & Miguel A Hernandez-Medina & Iker Barriales-Valbuena & Alfredo J Morales & Damien C Jacques & Wilfred Nkwambi & M Bamba Diop & John Quinn &, 2018. "Identifying seasonal mobility profiles from anonymized and aggregated mobile phone data. Application in food security," PLOS ONE, Public Library of Science, vol. 13(4), pages 1-20, April.
    3. Burnette,Joyce, 2008. "Gender, Work and Wages in Industrial Revolution Britain," Cambridge Books, Cambridge University Press, number 9780521880633.
    4. Daron Acemoglu & Pascual Restrepo, 2018. "Artificial Intelligence, Automation, and Work," NBER Chapters, in: The Economics of Artificial Intelligence: An Agenda, pages 197-236, National Bureau of Economic Research, Inc.
    5. Iyad Rahwan & Manuel Cebrian & Nick Obradovich & Josh Bongard & Jean-François Bonnefon & Cynthia Breazeal & Jacob W. Crandall & Nicholas A. Christakis & Iain D. Couzin & Matthew O. Jackson & Nicholas , 2019. "Machine behaviour," Nature, Nature, vol. 568(7753), pages 477-486, April.
      • Iyad Rahwan & Manuel Cebrian & Nick Obradovich & Josh Bongard & Jean-François Bonnefon & Cynthia Breazeal & Jacob W. Crandall & Nicholas Christakis & Iain Couzin & Matthew O. Jackson & Nicholas Jennin, 2019. "Machine behaviour," Post-Print hal-04121682, HAL.
    6. Daron Acemoglu & Pascual Restrepo, 2018. "Artificial Intelligence, Automation and Work," Boston University - Department of Economics - Working Papers Series dp-298, Boston University - Department of Economics.
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