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Social Consensus: Contribution to Design Methods for AI Agents That Employ Personal Data

  • Milica PavlovicEmail author
  • Francesco Botto
  • Margherita Pillan
  • Carmen Criminisi
  • Massimo Valla
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 903)

Abstract

The emerging complex IoT ecosystems, embodied through Artificially Intelligent (AI) Agents on the front-end interaction with the user, rise many new considerations to be taken into account during the design process, among which the use of sensitive personal data. This paper introduces a case study, a concluded project of a system supported by AI algorithms for delivering tailored services to the drivers, including insurance offerings and supporting drivers in practicing safer driving style. We report on a segment of user studies done within this project that relates to the use of personal data, and we discuss the notion of emerged user values within. Accordingly, we observe and propose inclusion of social consensus considerations within the design process and evaluation of the same.

Keywords

Design methods Human-systems integration AI agents Personal data Social consensus 

Notes

Acknowledgments

This work has been partially funded by TIM S.p.A., Services Innovation Department, Joint Open Lab Digital Life, Milan, Italy.

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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Milica Pavlovic
    • 1
    • 3
    Email author
  • Francesco Botto
    • 2
  • Margherita Pillan
    • 1
  • Carmen Criminisi
    • 3
  • Massimo Valla
    • 3
  1. 1.Interaction & Experience Design Research LabPolytechnic University of MilanMilanItaly
  2. 2.Fondazione Bruno KesslerTrentoItaly
  3. 3.Joint Open Lab Digital Life, Services Innovation DepartmentMilanItaly

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