The Good, the Bad, and the Ugly: Review on the Social Impacts of Unmanned Aerial Vehicles (UAVs)

Mohammed Yaqot, Brenno Menezes*

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

4 Citations (Scopus)

Abstract

Cutting-edge technologies in drones or unmanned aerial vehicles (UAVs) have the potential to transform and disrupt businesses and economic sectors. UAV technology can reconfigure the design and operation of services, resulting in improved productivity expansion and economic growth. Multiple studies extol the potential social, economic, and environmental tradeoffs of this technology by outlining processes that could be optimized along the value chain. However, the picture does not have to be completely positive. Although UAVs have the power to transform and significantly enhance our society, there are still certain socio-techno-economic consequences associated with the way this technology is applied. This paper presents an overview of recent trends in researching, developing, and deploying (RD&D) the most extensively UAVs applications usage towards drones as a service (DaaS). These themes will be discussed in threefold method: the ‘Good UAVs’ explores how these technological tools can promote our societies; the ‘Bad UAVs’ discusses a more nuanced view of the potential negative externalities generated by drones. Finally, the ‘Ugly UAVs’ investigates the possible risks generated by commercial drones. All themes have been briefly exemplified in the agriculture industry. The level of automation linked with the human factor in-, on-, and out-the loop of cyber-physical systems should be given more research attention, emphasizing and capturing inner social perspectives of commercial UAVs. Deploying new technologies should be based on the quality and value of the job itself to create a new class of human workers who can be evolved and are not just be valuable but be valued.

Original languageEnglish
Title of host publicationLecture Notes on Data Engineering and Communications Technologies
PublisherSpringer Science and Business Media Deutschland GmbH
Pages413-422
Number of pages10
DOIs
Publication statusPublished - 2022

Publication series

NameLecture Notes on Data Engineering and Communications Technologies
Volume127
ISSN (Print)2367-4512
ISSN (Electronic)2367-4520

Keywords

  • Data
  • Drones
  • Human-machine
  • Social
  • Technology
  • UAVs

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