Introduction
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Third, CCTV technology and the various face, emotion, gait, and number
plate recognition capabilities it can facilitate have enormous implications
for human rights. The indiscriminate growth of CCTV networks facilitates
mass surveillance, with major implications for the right to privacy
which in turn creates chilling effects on the freedom of expression and
association. Selective adoption of CCTVs also exists, thus endangering
the right to equality and non-discrimination. Cameras are installed in
‘high crime’ or crowded areas, which globally have been shown to have
a disproportionate focus on historically disadvantaged groups along the
axes of class and socioeconomic status, among others.11 It is important to
remember in the context of Myanmar’s current political climate that
footage from traditional CCTV cameras can be used to conduct
retrospective biometric identification and analysis, whereas newer CCTV
cameras tend to come equipped with these capabilities.
Methodology and
theoretical basis
Our initial research methodology to understand Myanmar’s smart
city involved conducting a scoping exercise based on interviews and
desk research to understand the nature of smart city projects, and
then subsequently planning to approach the implementing members
of the Mandalay smart city committee or Mandalay City Development
Committee (MCDC) to gather any information they would be willing to
share for analysis. We chose Mandalay as a vantage point to understand
smart cities and AI in Myanmar as Mandalay has been garnering
recognition for its efforts in implementing smart cities,12 while the
MCDC also had higher civic engagement. We planned to combine the
data they shared with the information from government tenders and
announcements of the smart city projects. After that, before the research
concluded, we hoped to conduct consultations with Myanmar civil society
to include their concerns.