Ethical and Legal Analysis of Artificial Intelligence Systems in Law Enforcement with a Study of Potential Human Rights Violations in Indonesia
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Abstract
This research examines the ethical and legal implications of deploying Artificial Intelligence (AI) systems in law enforcement, with a particular focus on potential human rights violations in Indonesia. Utilizing a normative analysis approach, the study evaluates existing ethical frameworks, legal principles, and human rights standards to assess the governance and implications of AI-driven policing. Key findings indicate significant ethical concerns, including bias, discrimination, lack of transparency, and privacy violations. The legal analysis reveals gaps in Indonesia’s regulatory framework, highlighting the need for specific legislation to address AI’s complexities. Human rights implications, such as threats to privacy, freedom of expression, and equality, are critically analyzed. Comparative case studies from other jurisdictions provide empirical insights and underscore the importance of robust ethical and legal frameworks. The research proposes several recommendations, including the establishment of clear ethical guidelines, strengthening legal frameworks, enhancing transparency and accountability, promoting public engagement, and conducting regular impact assessments to ensure responsible AI governance in law enforcement. This study aims to contribute to the development of ethical AI governance frameworks and inform policy recommendations for responsible AI deployment in law enforcement practices.
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References
С. Чуча, “Artificial intelligence in justice: legal and psychological aspects of law enforcement,” Law Enforc. Rev., vol. 7, pp. 116–124, Jun. 2023, doi: 10.52468/2542-1514.2023.7(2).116-124.
J. O. Arowosegbe, “Data bias, intelligent systems and criminal justice outcomes,” Int. J. Law Inf. Technol., vol. 31, no. 1, pp. 22–45, 2023.
Y. Ezzeddine, P. S. Bayerl, and H. Gibson, “Citizen Perspectives on Necessary Safeguards to the Use of AI by Law Enforcement Agencies,” arXiv Prepr. arXiv2306.01786, 2023.
N. P. Thao, “The Use of Artificial Intelligence in Criminal Investigation and Trials in Europe and Some Countries: Experience for Vietnam,” Vietnamese J. Leg. Sci., vol. 8, no. 1, pp. 55–77, 2023.
A. Al-Hwsali et al., “Scoping review: Legal and ethical principles of artificial intelligence in public health,” Healthc. Transform. with Informatics Artif. Intell., pp. 640–643, 2023.
F. Panagopoulou, C. Parpoula, and K. Karpouzis, “Legal and ethical considerations regarding the use of ChatGPT in education,” arXiv Prepr. arXiv2306.10037, 2023.
E. J. P. Fisher and E. Fisher, “A Fresh Look at Ethical Perspectives on Artificial Intelligence Applications and their Potential Impacts at Work and on People,” Bus. Econ. Res., vol. 13, no. 3, pp. 1–22, 2023.
S. H. Gilani, N. Rauf, and S. Zahoor, “Artificial Intelligence and the Rule of Law: A Critical Appraisal of a Developing Sector,” Pakistan J. Soc. Res., vol. 5, no. 02, pp. 743–750, 2023.
H. A. Hakim, C. B. Edhita Praja, and M.-H. Sung, “AI in Law: Urgency of the Implementation of Artificial Intelligence on Law Enforcement in Indonesia.,” J. Huk. Nov., vol. 14, no. 1, 2023.
D. F. Engstrom and A. Haim, “Regulating government AI and the challenge of sociotechnical design,” Annu. Rev. Law Soc. Sci., vol. 19, pp. 277–298, 2023.
T.-W. Hung and C.-P. Yen, “Predictive policing and algorithmic fairness,” Synthese, vol. 201, no. 6, p. 206, 2023.
A. Downey, S. R. Islam, and M. K. Sarker, “Evaluating Fairness in Predictive Policing Using Domain Knowledge,” in The International FLAIRS Conference Proceedings, 2023, vol. 36.
N. Köbis, P. Lorenz-Spreen, T. Ajaj, J.-F. Bonnefon, R. Hertwig, and I. Rahwan, “Artificial Intelligence can facilitate selfish decisions by altering the appearance of interaction partners,” arXiv Prepr. arXiv2306.04484, 2023.
G. Cifaldi, “Government surveillance and facial recognition system in the context of modern technologies and security challenges,” Sociol. Soc. Work Rev., vol. 6, no. 2, pp. 93–101, 2022, doi: 10.58179/sswr6208.
B. R. Ardabili et al., “Understanding policy and technical aspects of ai-enabled smart video surveillance to address public safety,” Comput. Urban Sci., vol. 3, no. 1, p. 21, 2023.
G. Giantini, “The sophistry of the neutral tool. Weaponizing artificial intelligence and big data into threats toward social exclusion,” AI Ethics, vol. 3, no. 4, pp. 1049–1061, 2023.
L. Lucaj, P. van der Smagt, and D. Benbouzid, “Ai regulation is (not) all you need,” in Proceedings of the 2023 ACM Conference on Fairness, Accountability, and Transparency, 2023, pp. 1267–1279.
B. M. Dutta, “The Ethics of Artificial Intelligence in Legal Decision Making: An Empirical Study,” Psychologyandeducation, vol. 55, no. 01, pp. 292–302, 2023, doi: 10.48047/pne.2018.55.1.38.
A. Aloisi and V. De Stefano, “Between risk mitigation and labour rights enforcement: assessing the transatlantic race to govern AI-driven decision-making through a comparative lens,” Eur. Labour Law J., vol. 14, no. 2, pp. 283–307, 2023.
B. Sumer, “When do the images of biometric characteristics qualify as special categories of data under the GDPR?: a systemic approach to biometric data processing,” in 2022 International Conference of the Biometrics Special Interest Group (BIOSIG), 2022, pp. 1–6.
C. Jasserand-Breeman, “Reprocessing of biometric data for law enforcement purposes: Individuals’ safeguards caught at the Interface between the GDPR and the’Police’directive?,” 2019.
G. Vojković and M. Milenković, “GDPR in access control and time and attendance systems using biometric data,” in 2018 41st International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO), 2018, pp. 1138–1142.
M. BrewczyäÑska, “A critical reflection on the material scope of the application of the Law Enforcement Directive and its boundaries with the General Data Protection Regulation,” in Research handbook on EU data protection law, Edward Elgar Publishing, 2022, pp. 91–114.
B. C. Stahl, D. Schroeder, and R. Rodrigues, “Unfair and illegal discrimination,” in Ethics of artificial intelligence: Case studies and options for addressing ethical challenges, Springer, 2022, pp. 9–23.
C. Quaresmini and G. Primiero, “Data quality dimensions for fair AI,” arXiv Prepr. arXiv2305.06967, 2023.
E. Ferrara, “Fairness and bias in artificial intelligence: A brief survey of sources, impacts, and mitigation strategies,” Sci, vol. 6, no. 1, p. 3, 2023.
M. Chinen, “International human rights as’ ideal’AI governance,” in The International Governance of Artificial Intelligence, Edward Elgar Publishing, 2023, pp. 277–314.
G. Ambitions, “The International Debate On Ai Regulation And Human Rights In The Prism Of The Council Of Europe’s Cahai”.
O. Bajgar and J. Horenovsky, “Negative Human Rights as a Basis for Long-term AI Safety and Regulation,” J. Artif. Intell. Res., vol. 76, pp. 1043–1075, 2023.
J.-M. Bello y Villarino and R. Vijeyarasa, “International Human Rights, Artificial Intelligence, and the Challenge for the Pondering State: Time to Regulate?,” Nord. J. Hum. Rights, vol. 40, no. 1, pp. 194–215, 2022.
R. P. Dempsey, J. R. Brunet, and V. Dubljević, “Exploring and Understanding Law Enforcement’s Relationship with Technology: A Qualitative Interview Study of Police Officers in North Carolina,” Appl. Sci., vol. 13, no. 6, 2023, doi: 10.3390/app13063887.
B. Sanz-Urquijo, E. Fosch-Villaronga, and M. Lopez-Belloso, “The disconnect between the goals of trustworthy AI for law enforcement and the EU research agenda,” AI Ethics, vol. 3, no. 4, pp. 1283–1294, 2023.
S. M. Gipson Rankin, “Technological tethereds: potential impact of untrustworthy artificial intelligence in criminal justice risk assessment instruments,” Wash. Lee L. Rev., vol. 78, p. 647, 2021.
L. T. Brandner and S. D. Hirsbrunner, “Algorithmische Fairness in der polizeilichen Ermittlungsarbeit: Ethische Analyse von Verfahren des maschinellen Lernens zur Gesichtserkennung,” TATuP-Zeitschrift für Tech. Theor. und Praxis/Journal Technol. Assess. Theory Pract., vol. 32, no. 1, pp. 24–29, 2023.