Artists say AI scraping without permission isn’t innovation, it’s exploitation

The government offered an exception to copyright laws to allow artificial intelligence developers to make material welding from thousands of Australian artists and writers. Penelope Benton Reports.

The federal government’s last three -day economic reform round table meeting resulted in trade unions and technology companies, and investigated a model to compensate for Creators for AI training data. Although this may seem like progress, the National Visual Arts Association (Nava) argues that any agreement should be strictly dependent on the existing copyright law, not in temporary solutions.

Australia Copyright law Provides basic guards for artists. Whether the use of art works for broadcasting, reproductive or AI training requires permission and payment. Nevertheless at the beginning of August, Efficiency Commission It was published interim report To propose a new exception for copyrights for text and data mining. Similar to the frameworks adopted abroad, this exception will provide a legal cover for developers to use the materials protected without permission or compensation.

Nava strongly opposed this advice, and Arts Peak bodies and thousands of artists and writers, creators, rejected the proposal that would strengthen a system in which they were not asked, paid and protected.

The application is already a great difficulty for individual copyright holders. The claim that there are potential ways for compensation under the exception of “Fair Process” for Text and Data Mining is missing the issue: Artists would still carry the burden of defining and maintaining the unauthorized use of their work. Power imbalances, platform opaque and legal complexity make them impossible for most. These are the flaws of systems that do not support it, not the copyright law itself.

An end questionnaire Execution of more than 890 visual artists by Nava:

• More than 80 % believes that AI poses a risk for revenues, practices and moral rights;
• When business is used to train AI, 73% support a compensation scheme;
• His studies and personal data have already been engraved without consent; And
• Most of them are faced with great obstacles to defining whether their studies due to lack of transparency, legal complexity and power imbalances are used.

The artists repeatedly emphasized that artificial intelligence without permission is not innovation, but that exploitation is. Many said that the use of creative labor was used without credit, consent or compensation in AI education, and that visual artists have deepened the economic security that they have already faced. They also increased increasing concerns about their identities and visual styles that were imitated or made money without consent, and some reported that AI tools were engraved in personal images to create false accounts or imitations. Many now feel an insecure sharing job online.

Beyond copyright concerns, artists expressed strong fears about the ethical, cultural and environmental effects of AI. They said that the productive AI produces faster, cheaper content than pushing more process -based, process -based or experimental applications aside. The participants warned that the pressure of adopting AI is not to improve creativity, but to meet unrealistic expectations in productivity.

Environmental influences were another repeating theme. The artists drew attention to the tremendous water and energy demands, which are data centers, and called for more public transparency over environmental and community costs of these systems.

Artists want to be involved in shaping the rules to manage artificial intelligence and creative practices. Open legal guards and more transparency in the development of AI, stronger education in the rights of artists, public investment in local creative industries and policy frameworks and policy frameworks that value the creative process and the creative process. Native Cultural and Intellectual Property (Icip).

The respondents also called for applicable tools to find out if their studies were in the data clusters of the data clusters and whether there were penalties for violation. Most, under existing laws and platform policies, they feel weak, not monitor the use or not to be implemented. They said the barriers were legal, financial and emotional and very high.

Almost half (46%) of the participants said that they currently use productive AI in creative applications and 41% did not use it. 13 % said they could use it in the future. Among the users, AI is used for tasks related to writing such as regulation or grammar correction (49%), written content preparation (49%) and grant writing or manager (36%). Approximately 40% use for research and development, 34% for brainstorming ideas. Fewer artists use it for visual outputs: only 22% use AI to create drawing or reference images, and only 6% use to produce the final artwork. This shows that artists do not refuse artificial intelligence. Many of them continue to call their use to be legal, transparent and fair, especially in administrative and research contexts.

The confusion around the copyright ownership of the works produced by artificial intelligence adds another layer of security vulnerability. Many artists expressed disappointment of uncertain rules on writing and associations, especially when they are trained on human -making content without AI. It is necessary to explain these problems, accountability, association and fee.

Vehicles that help the development of artists should not be at the expense of their rights. What artists reject is a system that removes their work without permission under the guise of innovation.

Nava invites the productivity commission and the Australian government to reject new copyright exceptions that allow AI companies to engrave artists without authorizing their work. Instead, the focus should be to strengthen the implementation of existing laws and to develop the independent AI legislation that protects the rights of artists. Protects should include transparent AI training data clusters, meaningful approval processes and open ways for reference and compensation.

https://www.youtube.com/watch?v=kc87fkznmna

Penelope Benton is the General Manager of Nava and is passionate about the development, transparency and equality in the visual arts sector.

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