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Legal Challenges of AI-Induced Copyright Infringement: Evaluating Liability and Dispute Resolution Mechanisms in Digital Era

Jambura Law Review · Vol. UME No. 2 (2024) · hlm. 403–428

DOI
10.33756/jlr.v6i2.24459
ISSN
2656-0461, 2654-9255
Terbit
2024-07-28
Penerbit
Universitas Negeri Gorontalo
Bahasa
eng
Lisensi
creativecommons.org/licenses/by-sa/4.0

Abstrak

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.

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  • Hasanuddin University
  • Sultan Sharif Ali Islamic University
  • Cenderawasih University
  • National University of Malaysia
  • Sekolah Tinggi Agama Islam Negeri Majene
  • Universitas Islam Negeri Alauddin Makassar
  • Universitas Islam Negeri Profesor Kiai Haji Saifuddin Zuhri Purwokerto
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Tampilkan sebagai tabel
Rekan penulisOrganisasiArtikel bersama
Muhammad Mutawalli MukhlisSekolah Tinggi Agama Islam Negeri Majene10
Muhammad Saleh TajuddinUniversitas Islam Negeri Alauddin Makassar6
Naswar NaswarHasanuddin University4
Ahmad MasumSultan Sharif Ali Islamic University4
Yusuf Ibrahim ArowosaiyeSultan Sharif Ali Islamic University2
Budiyanto BudiyantoCenderawasih University2
Hariyanto HariyantoUniversitas Islam Negeri Profesor Kiai Haji Saifuddin Zuhri Purwokerto2
Andi Tenri YeyengUniversitas Patompo2
Normiati NormiatiUniversity of Birmingham2
Rafika Nurul Hamdani RamliThe University of Queensland1
Amaliyah AmaliyahHasanuddin University1
Achmad AchmadHasanuddin University1
Fauziah P. BaktiHasanuddin University1
Hasbi AssidiqHasanuddin University1
Hanim KamaruddinNational University of Malaysia1
Farida PattitingiAfiliasi tidak diketahui1
Siti Nurhaliza BachrilHasanuddin University1
Nurul Habaib Al MukarramahHasanuddin University1
Wa Ode Intan KurniawatiUniversitas Sulawesi Tenggara1
Muh. YunusInstitut Teknologi dan Kesehatan Tri Tunas Nasional1
Zulkifli AspanHasanuddin University1
Resi ResiInstitut Agama Islam Negeri Parepare1
Rasyida UsmanHasanuddin University1
Azlan ThamrinUniversiti Sains Islam Malaysia1
Zulhilmi PaidiUniversiti Utara Malaysia1
Aminuddin IlmarHasanuddin University1
Nurul Hidayat Ab RahmanNational University of Malaysia1
Syamsul RijalHasanuddin University1
Mustika MustikaHasanuddin University1
Ratnawati RatnawatiHasanuddin University1
Supardi SalamUniversitas Veteran Republik Indonesia Makassar1
Kiky Venna ViolettaHasanuddin University1
Iin Karita SakharinaHasanuddin University1
Abdul Maasba MagassingHasanuddin University1
Abdelrahman AlasttalAfiliasi tidak diketahui1
Hotlan SamosirCenderawasih University1
Jamal AslanHasanuddin University1

Afiliasi berasal dari OpenAlex; metadata OAI-PMH jurnal tidak memuatnya. Penulis tanpa ID OpenAlex dicocokkan berdasarkan nama, sehingga dua orang bisa tergabung atau satu orang bisa terpisah.

Sumber metadata: OAI-PMH (metadata jurnal) http://ejurnal.ung.ac.id/index.php/jalrev/oai, pertama di-harvest 9 Nov 2026, terakhir terlihat 9 Nov 2026.
Metadata asli (oai_dc) 
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	<dc:title xml:lang="en-US">Legal Challenges of AI-Induced Copyright Infringement: Evaluating Liability and Dispute Resolution Mechanisms in Digital Era</dc:title>
	<dc:creator>Eviani, Nanda Yuniza</dc:creator>
	<dc:creator>Maskun, Maskun</dc:creator>
	<dc:creator>Faqi, Ahmad Fachri</dc:creator>
	<dc:subject xml:lang="en-US">Artificial Intelligence; Copyright Infringement; Resolution; WIPO; Liability</dc:subject>
	<dc:description xml:lang="en-US">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.</dc:description>
	<dc:publisher xml:lang="en-US">Universitas Negeri Gorontalo</dc:publisher>
	<dc:contributor xml:lang="en-US"></dc:contributor>
	<dc:date>2024-07-28</dc:date>
	<dc:type>info:eu-repo/semantics/article</dc:type>
	<dc:type>info:eu-repo/semantics/publishedVersion</dc:type>
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	<dc:identifier>https://ejurnal.ung.ac.id/index.php/jalrev/article/view/24459</dc:identifier>
	<dc:identifier>10.33756/jlr.v6i2.24459</dc:identifier>
	<dc:source xml:lang="en-US">Jambura Law Review; VOLUME 6 NO. 2 JULY 2024; 403-428</dc:source>
	<dc:source>2656-0461</dc:source>
	<dc:source>2654-9255</dc:source>
	<dc:source>10.33756/jlr.v6i2</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://ejurnal.ung.ac.id/index.php/jalrev/article/view/24459/8975</dc:relation>
	<dc:rights xml:lang="en-US">Copyright (c) 2024 Nanda Yuniza Eviani, Maskun Maskun, Ahmad Fachri Faqi</dc:rights>
	<dc:rights xml:lang="en-US">https://creativecommons.org/licenses/by-sa/4.0</dc:rights>
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