Legal Implications of Algorithm Use in Decision-Making Processes: Challenges and Solutions

I Nyoman Agus Prabawa

Abstract


In this article, researchers attempt to delve deeply into the challenges and solutions associated with the use of algorithms in the legal decision-making process. They explore sensitive issues such as transparency, discrimination, and accountability, while emphasizing how technology can be utilized as a tool  to  strengthen, rather  than  undermine, principles of  justice.  By elucidating the challenges faced and offering perspectives on potential solutions, we hope to make a meaningful contribution to the trajectory of legal  development in  this  digital  era.  Researchers have  found  that challenges related to algorithm use encompass privacy, discrimination, accountability, and transparency issues. Therefore, it is crucial for society, regulators, and other stakeholders to comprehend the associated legal implications and seek appropriate remedies. Possible solutions include enhancing transparency in algorithm usage, implementing social impact and ethical evaluations in algorithm development and deployment, and developing a regulatory framework that is more responsive and adaptable to technological advancements. Additionally, there is a need for collaboration between the government and various sectors of society to develop adequate and responsive regulations to technological developments.


Keywords


Algorithms; Decision-Making Process; Discrimination; Privacy; Transparency Issues.

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References


Journals:

Barocas, S., & Selbst, A. D. (2016). "Big Data's Disparate Impact."

Burrell, J. (2016). "How the Machine 'Thinks': Understanding Opacity in Machine Learning Algorithms.

Diakopoulos, N. (2016). "Accountability in Algorithmic Decision Making." Communications of the ACM.

Diakopoulos, N. (2016). "Accountable Algorithmic Decision-Making: A Review and Framework for Development."

Goodman, B., & Flaxman, S. (2016). "European Union Regulations on Algorithmic Decision-Making and a 'Right to Explanation'."

Jobin, A., Ienca, M., & Vayena, E. (2019). “The Global Landscape of AI Ethics Guidelines.” Nature Machine Intelligence, 1(9).

Pasquale, F. (2015). "The Black Box Society: The Secret Algorithms That Control Money and Information."

Selbst, A.D., & Barocas, S. (2018). "The Intuitive Appeal of Explainable Machines." Fordham Law Review, 87(3).

Yeung, K. (2017). “Algorithmic Regulation: A Critical Interrogation.” Regulation & Governance, 11(1). Online reference:

Zarsky, T. (2016). “The Trouble with Algorithmic Decisions: An Analytic Roadmap to Examine Efficiency and Fairness in Automated and Opaque Decision Making.”

Internet:

Jaya, Firman, May 26, 2024, “Kas Pembocoran Data oleh Hacker Bjorka”, Available at website: https://unmer.ac.id/kas-pembocoran-data-oleh-hacker-bjorka/

Pradana, Dani, May 6, 2024, “BPR Pertama Bank Jombang Meutilkan Analisa Kredit dengan AI”, Available at website: https://bankjombang.co.id/branding-bpr-pertama- bank-jombang-meutilkan-analisa-kredit-dengan-artificial-intelligence/

Wibowo, Andi, Apr 25, 2022, “Analisa Kredit dengan Artificial Intelligence”, Available at website: https://penerbit.brin.go.id/press/catalog/download/668/597/13696?inline=1https://p enerbit.brin.go.id/press/catalog/download/668/597/13696?inline=1

Wahyu, Bastian, Jun 21, 2022, “Kronologi Full 91 Juta Akun Tokopedia Bocor dan Dijual”, Available at website:https://www.cnnindonesia.com/technology/20200503153210-185-499553/kronologi-full-91-juta-akun-tokopedia-bocor-dan-dijual


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