The role of automated technology in the creation of copyright works: the challenges of artificial intelligence

Zatarain, Jesús Manuel Niebla

doi:10.1080/13600869.2017.1275273

Cited by 23 publications

(13 citation statements)

References 7 publications

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“…Another legal challenge of using AI systems can be the issue of copyrights. Current legal framework needs significant changes in order to effectively protect and incentivise human generated work (Zatarain, 2017). Wirtz, Weyerer, and Geyer (2019) focused on the challenges of implementing AI within government positing the requirement for a more holistic understanding of the range and impact of AI-based applications and associated challenges.…”

Section: Technological and Technology Implementation Challengesmentioning

confidence: 99%

Artificial Intelligence (AI): Multidisciplinary perspectives on emerging challenges, opportunities, and agenda for research, practice and policy

Dwivedi

Hughes

Ismagilova

et al. 2021

International Journal of Information Management

1,850

742

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As far back as the industrial revolution, significant development in technical innovation has succeeded in transforming numerous manual tasks and processes that had been in existence for decades where humans had reached the limits of physical capacity. Artificial Intelligence (AI) offers this same transformative potential for the augmentation and potential replacement of human tasks and activities within a wide range of industrial, intellectual and social applications. The pace of change for this new AI technological age is staggering, with new breakthroughs in algorithmic machine learning and autonomous decision-making, engendering new opportunities for continued innovation. The impact of AI could be significant, with industries ranging from: finance, healthcare, manufacturing, retail, supply chain, logistics and utilities, all potentially disrupted by the onset of AI technologies. The study brings together the collective insight from a number of leading expert contributors to highlight the significant opportunities, realistic assessment of impact, challenges and potential research agenda posed by the rapid emergence of AI within a number of domains: business and management, government, public sector, and science and technology. This research offers significant and timely insight to AI technology and its impact on the future of industry and society in general, whilst recognising the societal and industrial influence on pace and direction of AI development.

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Section: Technological and Technology Implementation Challengesmentioning

confidence: 99%

Artificial Intelligence (AI): Multidisciplinary perspectives on emerging challenges, opportunities, and agenda for research, practice and policy

Dwivedi

Hughes

Ismagilova

et al. 2021

International Journal of Information Management

1,850

742

View full text Add to dashboard Cite

show abstract

“…Copyright Criteria. In theory, adopting the objectindependent definition criteria for identifying the copyright of AI-written literary creations is a compromise strategy based on treating AI as the legal authors [19]. According to the technical characteristics of human-computer interaction (HCI), human creative intention, human choice, and other factors may have been integrated into the creative process of AI-written literary creations [20].…”

Section: Copyright Protection Of Ai-written Literary Creationsmentioning

confidence: 99%

Copyright Protection and Data Reliability of AI-Written Literary Creations in Smart City

Wei

2022

Security and Communication Networks

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The purpose is to solve copyright disputes over artificial intelligence (AI)-written literary creations and protect copyright by legislation through data reliability research. Accordingly, this work makes a detailed study of the criteria for the copyright protection of AI-written literary creation and the creation process. It constructs the model of swarm intelligence (SI) perception. Then, the Preservation Trustworthiness Incentives Sense (PTISense) scheme is designed based on the encryption algorithm for the SI perception model. The performance of the proposed PTISense scheme is verified and analyzed through experiments. Mainly, it analyzes the impact of PTISense on the accuracy of the reputation model, its robustness against malicious users, and the actual feasibility. The results show that when users complete 50 tasks, the false-positive rate is only 0.1, and the corresponding false-negative rate approximates 0. After each task, the user reputation will be updated, and the data will be evaluated for trust. The trust model of the proposed PTISense scheme based on encryption technology is more accurate. When η (the number of malicious users) is small, the more tasks are performed, the faster the reputation value decreases and tends to zero. The proposed PTISense scheme-based reputation evaluation model can better protect the data submitted by good users. It is robust against malicious users and protects the data and privacy of good users. Further, entities’ computing overhead in different SI perception stages is calculated. It is found that the proposed PTISense scheme is feasible for user data privacy protection. Compared with other schemes, it can achieve a safe and reliable SI perception process with a lower computing overhead. It can better ensure the authenticity and reliability of data.

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“…The genesis of copyright law can be traced back to the advent of the printing press, heralding an era where the mass production of texts became feasible, necessitating the protection of authors' works against unauthorized reproduction. The Statute of Anne in 1710 is commonly recognized as the first copyright statute aimed at protecting literary works while promoting the dissemination of knowledge (Zatarain, 2017). This early legislation laid the groundwork for modern copyright laws, establishing the fundamental principle that authors should have exclusive rights to their creations for a limited period.…”

Section: Overview Of Copyright Lawmentioning

confidence: 99%

“…The cornerstone of copyright protection-originalityis predicated on human authorship. However, as AIgenerated works become increasingly commonplace, this prerequisite is called into question (Zatarain, 2017). The emergence of AI as creators not only blurs the line between human and non-human authorship but also challenges the legal framework designed primarily for human creativity.…”

Section: Introductionmentioning

confidence: 99%

The Influence of Artificial Intelligence on Copyright Law

Çebi,

Reisoğlu,

Goktas

2023

ISSLP

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The rapid advancement of Artificial Intelligence (AI) technologies has precipitated a paradigm shift in various sectors, including the creative industries, thereby posing intricate challenges and opportunities for copyright law. This article aims to comprehensively analyze the influence of AI on copyright law, delineating the multifaceted implications of AI-generated content on traditional legal frameworks. Employing a systematic review methodology, the article examines scholarly research, legal frameworks, case studies, and policy proposals to unravel the complexities at the intersection of AI and copyright law. The key findings reveal conceptual challenges related to authorship, originality, and the application of moral rights to AI-generated works, alongside legal ambiguities stemming from the international variance in copyright law adjustments. The analysis also highlights significant legal cases and policy initiatives, particularly within the European Union and the World Intellectual Property Organization (WIPO), which are pivotal in shaping the evolving discourse on copyright law in the digital and AI age. The article underscores the pressing need for legal adaptation and international collaboration to accommodate the novel realities introduced by AI, advocating for a balanced approach that fosters innovation while protecting intellectual property rights. The implications of this study are far-reaching, suggesting that the future of copyright law lies in its ability to evolve in response to technological advancements, thereby ensuring that it continues to fulfill its role in promoting creativity and cultural enrichment in a rapidly changing digital landscape. Through this exploration, the article contributes to the ongoing dialogue among legal scholars, policymakers, and stakeholders, calling for further research and legislative action to address the challenges and opportunities presented by AI in the copyright domain.

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The role of automated technology in the creation of copyright works: the challenges of artificial intelligence

Cited by 23 publications

References 7 publications

Artificial Intelligence (AI): Multidisciplinary perspectives on emerging challenges, opportunities, and agenda for research, practice and policy

Artificial Intelligence (AI): Multidisciplinary perspectives on emerging challenges, opportunities, and agenda for research, practice and policy

Copyright Protection and Data Reliability of AI-Written Literary Creations in Smart City

The Influence of Artificial Intelligence on Copyright Law

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