IEEE Technology and Society Magazine - June 2018 - 80

Algorithmic Governance in
Smart Cities
The Conundrum and
the Potential of Pervasive
Computing Solutions
Franco Zambonelli, Flora Salim,
Seng W. Loke, Wolfgang De Meuter,
and Salil Kanhere

Digital Object Identifier 10.1109/MTS.2018.2826080
Date of publication: 31 May 2018

80

1932-4529/18©2018IEEE

mnbb/ISTOCK

P

ervasive and mobile computing technologies can make our everyday living
environments and our cities "smart",
i.e., capable of reaching awareness of
physical and social processes and of
dynamically affecting them in a purposeful way [1]. This is already happening, e.g., in the form of digital traffic signs that suggest in
real-time the best traffic directions or the availability of
parking spots, and also in the form of location-based social networks that inform us about noteworthy events.
Soon we expect that the pervasive diffusion of sensing,
actuation, and computing will allow our urban environment to fully self-regulate in autonomy most of its processes, and to guide and support our everyday activities.
It is generally acknowledged that living in a smart
environment makes us smarter by increasing our overall levels of awareness of ongoing urban activities [2].
Also, by supporting and facilitating our customary activities (e.g., driving, finding information, and goods), living in a smart environment can make life much more
pleasant and less stressful, and also make the environment more sustainable.

However, the evolution of smart environments also
carries potential risks for individuals and for society
as a whole. In particular, if most of our everyday activities can be automated, we could be tempted to
increasingly delegate the governance of such activities, and the governance of the whole city, to the
algorithmic engines of the smart city infrastructure.
Thus, rather than taking advantage of the augmented
capabilities of perception and participation enabled
by the technologies, we could end up losing critical
attention, abandoning individual decision making for
relying on collective computational governance of
our activity, losing awareness of environmental and
social processes, and ultimately lose power and be come dumb [3].

IEEE TEchnology and SocIETy MagazInE

∕

JUNE 2018



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