Australian Copyright Law Impedes the Development of Artificial Intelligence: What Are the Options?

Matulionytė, Rita

doi:10.1007/s40319-021-01039-9

IIC

2021

DOI: 10.1007/s40319-021-01039-9

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Australian Copyright Law Impedes the Development of Artificial Intelligence: What Are the Options?

Rita Matulionytė

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Towards the Development of a Copyright Risk Checker Tool for Generative Artificial Intelligence Systems

Billiris,

Gill,

Oppermann

et al. 2024

Digit. Gov.: Res. Pract.

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Generative Artificial Intelligence (GAI) is fundamentally changing the ways of working and blurring the boundaries between human and machine-generated contents. While there is an increasing interest in the adoption of GAI systems, such as ChatGPT and DALL-E, there are also serious concerns about the copyright of the contents – the inputs or generated as outputs by the GAI systems. Such concerns need to be identified and assessed to ensure the ethical and responsible use of GAI systems. Thus, this paper aims to address the key research challenge: "how to identify and assess GAI system's copyright concerns"? In response, we propose the development of a Copyright Risk Checker (CRC) Tool. This tool has been formulated and evaluated using a recognised design science research methodology, drawing on an analysis of ten legal cases across Australia, the United Kingdom, the United States, and Europe. The CRC Tool has undergone evaluation through an experimental scenario, and the results suggest that it is suitable for conducting an indicative copyright risk check of GAI systems. The outcomes of this preliminary assessment can be further examined by expert legal advisors for an in-depth analysis. The development of the CRC Tool provides a foundation for continued research and advancement in this significant area of study.

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Towards the Development of a Copyright Risk Checker Tool for Generative Artificial Intelligence Systems

Billiris,

Gill,

Oppermann

et al. 2024

Digit. Gov.: Res. Pract.

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The Chilling Effects of Obstacles to Accessing, Using, and Sharing In-copyright Data for Quantitative Research

Aufderheide,

Butler,

Anastácio

2024

SSRN Journal

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Sztuczna inteligencja i przestpczo przyszoci w kontekcie kryminalistycznych bada informatycznych

Olber

2023

Przegląd Policyjny

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Celem przedmiotowego artykuu jest omwienie roli, zada i wyzwa informatyki kryminalistycznej w kontekcie rozwoju przestpczoci wspartej sztuczn inteligencj. Zagadnienia opisane w artykule bazuj na potencjalnych zagroeniach w przyszoci, ktre zostay zidentyfikowane jako najbardziej uciliwe dla spoeczestwa. Rozwaania zawarte w artykule poprzedzono analiz krytyczn dotychczasowych bada z zakresu sztucznej inteligencji i informatyki kryminalistycznej. Przeprowadzona analiza literatury pozwala twierdzi, e przyszoci kryminalistycznych bada informatycznych jest automatyzacja oparta o algorytmy uczenia maszynowego. Stwierdzono take, e rozwj sztucznej inteligencji bdzie definiowa nowe obszary kryminalistycznych bada informatycznych, uwzgldniajcych analizy modeli sieci neuronowych i zbiorw danych uczcych.

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Australian Copyright Law Impedes the Development of Artificial Intelligence: What Are the Options?

Cited by 3 publications

References 3 publications

Towards the Development of a Copyright Risk Checker Tool for Generative Artificial Intelligence Systems

Towards the Development of a Copyright Risk Checker Tool for Generative Artificial Intelligence Systems

The Chilling Effects of Obstacles to Accessing, Using, and Sharing In-copyright Data for Quantitative Research

Sztuczna inteligencja i przestpczo przyszoci w kontekcie kryminalistycznych bada informatycznych

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