Authors :
Dr. John Motsamai Modise
Volume/Issue :
Volume 9 - 2024, Issue 9 - September
Google Scholar :
https://tinyurl.com/yf8z8utk
Scribd :
https://tinyurl.com/9cvsc25c
DOI :
https://doi.org/10.38124/ijisrt/IJISRT24SEP617
Note : A published paper may take 4-5 working days from the publication date to appear in PlumX Metrics, Semantic Scholar, and ResearchGate.
Abstract :
Examining the ethical ramifications of
predictive policing in South Africa, the research aims to
pinpoint major obstacles and dangers while examining
potential solutions to allay worries and guarantee
responsible application. Key subjects include data
privacy, algorithmic bias, over policing, community
involvement, accountability and transparency, and
transparency. reduction of bias, oversight procedures,
Important Points, Significant ethical issues are brought
up by predictive policing in South Africa, including
invasions of privacy, algorithmic prejudice, and over
policing. Given the historical and current backdrop of
racial inequality, these worries are more pressing. In
order to address these issues, a balanced strategy that
puts individual rights and public safety first is needed. In
order to guarantee that predictive policing is used
responsibly in South Africa, transparency, accountability,
community involvement, and ethical standards are
crucial. It is essential to mitigate bias in algorithms and
data in order to stop biased results. An over-reliance on
predictive policing can be detrimental to community
relations and conventional enforcement techniques.
Methodological strategy: Designing qualitative research,
review of the literature, semi-structured interviews with
members of the public, law enforcement officers, and
predictive policing specialists Case studies of South
African predictive policing initiatives, Content study of
South African media reports on predictive policing.
Relevance. The work advances our knowledge of the
moral conundrums raised by predictive policing in South
Africa in a more comprehensive and nuanced way. The
study can serve to raise public awareness and encourage
participation in the discussion over predictive policing in
South Africa. The findings can assist policymakers and
law enforcement agencies in creating moral and practical
strategies for implementing predictive policing. In
conclusion, there are advantages and disadvantages to
predictive policing in South Africa. Although technology
presents the possibility of more effective and efficient law
enforcement, it also brings up serious ethical issues. South
Africa can minimize the dangers associated with
predictive policing while maximizing its potential
advantages by addressing these issues and putting the
necessary procedures in place.
Keywords :
Predictive Policing, Data Analytics, Crime Prediction, Law Enforcement, Public Safety, Ethics, Privacy, Bias, Discrimination, Algorithmic Fairness, Surveillance, Community Engagement, Accountability, Oversight.
References :
[1]. Ferguson, A. (2017). The Rise of the Surveillance State: Surveillance, Privacy, and Power in the Twenty-First Century. Cambridge, MA: Harvard University Press.
[2]. Richardson, R. (2021). The Algorithm of Oppression: How Search Engines Reinforce Racism. Boston, MA: Beacon Press.
[3]. Pasquale, F. (2015). The Black Box Society: The Secret Algorithms That Control Our Lives. Cambridge, MA: Harvard University Press.
[4]. Zuboff, S. (2018). Surveillance Capitalism: The New Era of Business and the Future of Humanity. New York, NY: PublicAffairs.
[5]. Citron, D. (2019). Technology That Surveils: The Ethical, Legal, and Policy Challenges of Government Surveillance. New York, NY: Cambridge University Press.
[6]. Mitchell, W. J. (1999). "Confronting the Future: A Guide to Technology and Changing World Order." Technology, Culture, and Society, 1(1), 1-26.
[7]. Rose, N. (2000). "Powers of Freedom: Reframing Political Thought." Cambridge Studies in Social and Cultural Anthropology. Cambridge, MA: Cambridge University Press.
[8]. Selbst, A. D., &Buolamwini, J. (2018). "Algorithmic Bias in Facial Recognition." Science, 365(6455), 881-883.
[9]. Sweeney, L. (2013). "Discrimination in Online Ad Delivery." Communications of the ACM, 56(5), 30-35
Examining the ethical ramifications of
predictive policing in South Africa, the research aims to
pinpoint major obstacles and dangers while examining
potential solutions to allay worries and guarantee
responsible application. Key subjects include data
privacy, algorithmic bias, over policing, community
involvement, accountability and transparency, and
transparency. reduction of bias, oversight procedures,
Important Points, Significant ethical issues are brought
up by predictive policing in South Africa, including
invasions of privacy, algorithmic prejudice, and over
policing. Given the historical and current backdrop of
racial inequality, these worries are more pressing. In
order to address these issues, a balanced strategy that
puts individual rights and public safety first is needed. In
order to guarantee that predictive policing is used
responsibly in South Africa, transparency, accountability,
community involvement, and ethical standards are
crucial. It is essential to mitigate bias in algorithms and
data in order to stop biased results. An over-reliance on
predictive policing can be detrimental to community
relations and conventional enforcement techniques.
Methodological strategy: Designing qualitative research,
review of the literature, semi-structured interviews with
members of the public, law enforcement officers, and
predictive policing specialists Case studies of South
African predictive policing initiatives, Content study of
South African media reports on predictive policing.
Relevance. The work advances our knowledge of the
moral conundrums raised by predictive policing in South
Africa in a more comprehensive and nuanced way. The
study can serve to raise public awareness and encourage
participation in the discussion over predictive policing in
South Africa. The findings can assist policymakers and
law enforcement agencies in creating moral and practical
strategies for implementing predictive policing. In
conclusion, there are advantages and disadvantages to
predictive policing in South Africa. Although technology
presents the possibility of more effective and efficient law
enforcement, it also brings up serious ethical issues. South
Africa can minimize the dangers associated with
predictive policing while maximizing its potential
advantages by addressing these issues and putting the
necessary procedures in place.
Keywords :
Predictive Policing, Data Analytics, Crime Prediction, Law Enforcement, Public Safety, Ethics, Privacy, Bias, Discrimination, Algorithmic Fairness, Surveillance, Community Engagement, Accountability, Oversight.
