OMNES : The Journal of multicultural society

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OMNES: The Journal of Multicultural Society - Vol. 14 , No. 1

[ Review Article ]
OMNES: The Journal of Multicultural Society - Vol. 13, No. 2, pp. 48-80
ISSN: 2093-5498 (Print)
Print publication date 31 Jul 2023
DOI: https://doi.org/10.14431/omnes.2023.07.13.2.48

Robot Policing, Who will be Responsible for the Robotpolice's Ethical use on Making Decision? (Consideration of the Ethical Framework)
Jinsoon Song
Assistant Professor, Dong-A University. Public Administration, South Korea


Abstract

The National Police Agency presented the Police Future Vision 2050, signaling future security changes. Above all, The robotpolice stands out among the Police Paradigm 4.0.promotion tasks. Robots, along with various AI technologies, are the main players of next-generation industrial change. The activities of robotpolice in law enforcement and security have great paradigm potential for the safety and welfare of both citizens and police. However, concerns about Responsible AI are deepening in the balance of power between ethics and profitability amid technological competition hegemony. Decision-making relying on algorithms of armed robots with built-in AI is prone to unfairness and vulnerability to prejudice in terms of coercion and risk. The paper examines the legal status and ethics of robots, discusses unsupervised machine learning, Blackboxes of hidden or ignored algorithms, and Digital redlining, as well as the ethical regulations and framework of responsible AI, along with biased data cases from the Ministry of Justice COMPAS in U.S.A. The success of robotpolice for democratic policing is linked to the establishment of an ethical framework. Based on standards and regulations, the government and society are obliged to dispel concerns about robotpolice in public security by spreading civic participation and trust in science and technology through law promotion and awareness improvement throughout society.


Keywords: Robotpolice, ethics, responsible AI, algorithmic bias, blackbox, law enforcement

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Biographical Note

Jinsoon Song(Ph.D.) is an assistant professor of department of public administration at Dong-A University. Major research focus on expanding the academic base of public communication in intelligence government and ways(channels, methos, etc) to promote public communication between government-citizens through AI technology media. Email: songjs@dau.ac.kr