SMART CITY | INFOGRAPHIC
Data Protection Related Methods
Ethical and Moral Framework
Indicators of Smart City
Regulation and Control
Chang (2021) proposes a model of an ethical framework that smart cities can consider using. The framework centres on improving the ability to make data-driven decisions.
Generally, the indicators of a smart city are:
Smart economy, Smart governance, Smart people, Smart mobility, Smart environment Smart living. (Giffinger et al., 2007)
In smart cities, excessive centralisation of data means that organisations can analyse resident behaviour and preferences more efficiently; however, abuse of power can also occur (Ziosi et al., 2022).
With a significant increase in the number of sensors, it is more likely to result in data flooding and leakage (Caron, 2016).
SMART CITY | INFOGRAPHIC
Indicators of Smart City
Use of a large amount of ICT infrastructure
Detailed collection of biological information
May include various aspects of travel, healthcare and public services
Improves the efficiency of services and quality of life to a certain extent (Mora et al., 2019)
SMART CITY | INFOGRAPHIC
Data Protection Related Methods
Unsure whether the information is being collected, monitored or tracked (Caron, 2016)
Authentication and Encryption Need to be further developed and improved (Baldauf, 2007)
May lead to the data explosion
SMART CITY | INFOGRAPHIC
In addition, the data is unfairly regulated. For example, people living in low-income areas are more likely to be targeted for preventive monitoring than others (Taylor, 2017). Smart cities are likely to multiply similar issues regarding 'data justice'. To avoid over-regulation and privacy violations, governments must consider how to balance the need for data collection with the need for fairness and autonomy.
Regulation and Control
Ziosi et al. (2022) suggest that for residents of smart cities, they themselves are involved in their own monitoring; for example through fitness devices and personal terminal services. On the one hand, this provides reliable information for assessing public health data in cities, from which the public can benefit; however, it is also argued that such self-quantifying devices may well become a catalyst for anti-human rights and anti-autonomy.
SMART CITY | INFOGRAPHIC
Ethical and Moral Framework
The challenges faced by smart cities in data ethics can be divided into four areas: protection, empowerment, misuse and equality. (Chang, 2021).
Data ownership should belong to the data subject, and any use or modification should require his or her consent. Institutions have an obligation to explain clearly to each citizen the benefits and risks associated with any authorised behaviour.
Society should advocate for the development of public awareness of privacy protection and the development of strict management schemes for highly sensitive data.
DATA VIS
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Created on December 9, 2022
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Transcript
SMART CITY | INFOGRAPHIC
Data Protection Related Methods
Ethical and Moral Framework
Indicators of Smart City
Regulation and Control
Chang (2021) proposes a model of an ethical framework that smart cities can consider using. The framework centres on improving the ability to make data-driven decisions.
Generally, the indicators of a smart city are: Smart economy, Smart governance, Smart people, Smart mobility, Smart environment Smart living. (Giffinger et al., 2007)
In smart cities, excessive centralisation of data means that organisations can analyse resident behaviour and preferences more efficiently; however, abuse of power can also occur (Ziosi et al., 2022).
With a significant increase in the number of sensors, it is more likely to result in data flooding and leakage (Caron, 2016).
SMART CITY | INFOGRAPHIC
Indicators of Smart City
Use of a large amount of ICT infrastructure
Detailed collection of biological information
May include various aspects of travel, healthcare and public services
Improves the efficiency of services and quality of life to a certain extent (Mora et al., 2019)
SMART CITY | INFOGRAPHIC
Data Protection Related Methods
Unsure whether the information is being collected, monitored or tracked (Caron, 2016)
Authentication and Encryption Need to be further developed and improved (Baldauf, 2007)
May lead to the data explosion
SMART CITY | INFOGRAPHIC
In addition, the data is unfairly regulated. For example, people living in low-income areas are more likely to be targeted for preventive monitoring than others (Taylor, 2017). Smart cities are likely to multiply similar issues regarding 'data justice'. To avoid over-regulation and privacy violations, governments must consider how to balance the need for data collection with the need for fairness and autonomy.
Regulation and Control
Ziosi et al. (2022) suggest that for residents of smart cities, they themselves are involved in their own monitoring; for example through fitness devices and personal terminal services. On the one hand, this provides reliable information for assessing public health data in cities, from which the public can benefit; however, it is also argued that such self-quantifying devices may well become a catalyst for anti-human rights and anti-autonomy.
SMART CITY | INFOGRAPHIC
Ethical and Moral Framework
The challenges faced by smart cities in data ethics can be divided into four areas: protection, empowerment, misuse and equality. (Chang, 2021).
Data ownership should belong to the data subject, and any use or modification should require his or her consent. Institutions have an obligation to explain clearly to each citizen the benefits and risks associated with any authorised behaviour.
Society should advocate for the development of public awareness of privacy protection and the development of strict management schemes for highly sensitive data.