Page 4 - Unlocking the potential of trust-based AI for city science and smarter cities

Foreword

This publication has been developed within the framework of the United for Smart Sustainable
Cities (U4SSC) initiative.

Acknowledgements

The development of the Case study: Unlocking the potential of trust based AI for city science
and smarter cities has been researched and written by Gyu Myoung Lee (SMIEEE), John Moores
University, Department of Computer Science, Faculty of Engineering and Technology, Adjunct
Professor, KAIST, Korea, ITU-T Chair of FG-DPM, SG13 WP3 Chair, Q16/13, Q4/20 Rapporteur and
has been edited and revised by Okan Geray (Smart Dubai Office).

The authors wish to thank the U4SSC management team, Nasser Al Marzouqi (U4SSC Chairman)
and Victoria Sukenik, Paolo Gemma, Abdurahman M. Al Hassan and Albert Medrán (U4SSC Vice-
chairmen) for their respective assistance and contributions. The authors also wish to extend their
gratitude to the contributing organizations along with their representatives: Cristina Bueti, Chris
Ip and Reyna Ubeda from the International Telecommunication Union (ITU), Paola Deda, Amie
Figueiredo and Agata Krause from the United Nations Economic Commission for Europe (UNECE)
and Robert Lewis-Lettington from the United Nations Human Settlements Programme (UN-Habitat).

The opinions expressed in this publication are those of the authors and do not necessarily represent
the views of their respective organizations or members.

© ITU, UNECE and UN-Habitat.

ii Unlocking the potential of trust-based AI for city science and smarter cities - October 2019