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All Journal Jambura Law Review Cepalo
Eviani, Nanda Yuniza
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Law, Crime, Criminology & Criminal Justice

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NAVIGATING JUSTICE AND LEGAL EQUILIBRIUM IN AUTOMATIC PRICING ALGORITHMS: A CROSS BORDER LEGAL APPROACH Eviani, Nanda Yuniza; Yunus, Ahsan; Hafizhah, Noor Ashma; Irwansyah, Irwansyah
Cepalo Vol 8 No 1 (2024)
Publisher : Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25041/cepalo.v8no1.3380

Abstract

Automatic pricing algorithms with artificial intelligence (AI) technology in e-commerce have a significant impact on the running of the industry. This creates benefits as well as reaps polemics. Discrimination against consumers is one of them. For this reason, comprehensive treatment is needed to prevent negative impressions from occurring and can lead to the creation of justice and fairness. This research is normative qualitative research with the support of case and comparison approaches. The research results show that the algorithm uses AI to set prices based on market factors, production costs, and competition, providing price flexibility, price relevance, and increased business efficiency. Positive impacts include increased efficiency, price relevance, and consumer reach, while negative impacts involve the risk of discrimination and supervisory difficulties. Regulation and supervision are needed to maintain justice and legal balance. Unfair competitive practices, such as sudden price fluctuations, need to be monitored. Explicit regulations are needed to address the gap between AI developments and the existing legal framework. The implementation of automatic pricing algorithms must pay attention to aspects of justice and legal balance.
Legal Challenges of AI-Induced Copyright Infringement: Evaluating Liability and Dispute Resolution Mechanisms in Digital Era Eviani, Nanda Yuniza; Maskun, Maskun; Faqi, Ahmad Fachri
Jambura Law Review VOLUME 6 NO. 2 JULY 2024
Publisher : Universitas Negeri Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33756/jlr.v6i2.24459

Abstract

The development of artificial intelligence (AI) has introduced unprecedented technological advancements and complex legal challenges, particularly in copyright infringement. The capability of the systems to replicate and disseminate copyrighted content without authorization raises questions about the adequacy of existing legal frameworks. Therefore, this research aims to explore the critical question of liability for AI-related copyright infringement, examining the responsibilities of developers, users, and systems. A comprehensive examination of relevant laws and regulations is carried out using a normative qualitative methodology. This is supported by case research and recent legal advancements, with a comprehensive comparison of relevant terms. Legal factors and dispute resolution methods applicable to AI-related copyright infringement are also considered. Due to the systems' autonomy, standard liability frameworks such as Digital Millennium Copyright Act (DMCA) cannot address AI-induced infringement. Meanwhile, a fault-based liability strategy that requires proof of purpose or negligence is suggested to improve accountability. This research reports the strengths and weaknesses of using dispute resolution mechanisms to solve copyright infringement. The results show that World Intellectual Property Organization (WIPO) dispute resolution provides a robust framework for resolving disputes after comparing regulations and mechanism.
Co-Authors Faqi, Ahmad Fachri Hafizhah, Noor Ashma Irwansyah Irwansyah Maskun Yunus, Ahsan