Canadian creators and publishers want the government to do something about the unauthorized and usually unreported use of their content to train generative artificial intelligence systems.

But AI companies maintain that using the material to train their systems doesn害羞草研究所檛 violate copyright, and say limiting its use would stymie the development of AI in Canada.

The two sides are making their cases in recently published submissions to a consultation on copyright and AI being undertaken by the federal government as it considers how Canada害羞草研究所檚 copyright laws should address the emergence of generative AI systems like OpenAI害羞草研究所檚 ChatGPT.

Generative AI can create text, images, videos and computer code based on a simple prompt, but to do that, the systems must first study vast amounts of existing content.

In its submission to the government, Access Copyright argued most and potentially all large language models 害羞草研究所渁re currently profiting from unauthorized use and reproduction of copyright protected works.害羞草研究所�

It害羞草研究所檚 taking place in a 害羞草研究所渂lack box,害羞草研究所� according to Access Copyright, which represents writers, visual artists and publishers.

害羞草研究所淩ightsholders know it is happening, but due to the information asymmetry between themselves and AI platforms, they cannot determine who is conducting the activity, with whose works, and have no mechanism to stop it from happening.害羞草研究所�

Music Canada, which represents the country害羞草研究所檚 major record labels, said last year, a fake AI-generated song mimicking the voices of Drake and The Weeknd 害羞草研究所渕ade one thing abundantly clear: AI models and systems have already ingested massive amounts of proprietary datasets without authorization from the source of the data or rightsholders.害羞草研究所�

The Writers害羞草研究所� Guild of Canada asked the government to start with implementing basic disclosure and reporting obligations. It said developers have all the knowledge of the work that is being mined and how it害羞草研究所檚 being used, while creators have none of that information.

Some organizations have signed licensing deals with AI companies. But the Canadian Authors Association said rightsholders face 害羞草研究所渋mmense obstacles害羞草研究所� in licensing their content 害羞草研究所渂ecause they are being kept in the dark as to which of their works are being used害羞草研究所� by which companies.

It asked Canada to clarify that text and data mining are subject to copyright laws.

Numerous lawsuits are underway in the United States over the use of copyrighted materials by generative AI systems, including one launched this week by the world害羞草研究所檚 biggest record labels against two AI music generators.

The Canadian Media Producers Association said legal cases illustrate the problem posed by a lack of transparency, citing one case in which the AI company argued the rightsholder couldn害羞草研究所檛 proceed with the infringement allegation unless they could specify the exact work used for training.

害羞草研究所淩ightsholders will also undoubtedly face similar evidentiary issues as many datasets used to train Generative AI systems are purportedly destroyed after the initial training is complete,害羞草研究所� it said.

The group said it害羞草研究所檚 an issue that 害羞草研究所渄emands immediate attention害羞草研究所� and asked the government to implement transparency requirements.

But AI companies maintain the kind of transparency rightsholders are asking for isn害羞草研究所檛 realistic.

Microsoft told the government training large-scale AI systems involves 害羞草研究所渧ast volumes害羞草研究所� of data, and companies shouldn害羞草研究所檛 have to keep records of that or disclose the content that is used for training.

害羞草研究所淚t would not be feasible to record such information and any such requirement would inhibit AI development,害羞草研究所� it said.

The company argued it is not 害羞草研究所渃opyright infringement to analyze works and learn concepts and facts.害羞草研究所�

Google said AI training is already exempted under existing copyright law, though the government should adopt an exemption to make that explicit.

Google said requiring permission to use content for training purposes would expose competitively sensitive information and 害羞草研究所渨ould effectively block the development and use of large language models and other types of cutting-edge AI.害羞草研究所�

It also said AI developers don害羞草研究所檛 have access to accurate information about copyright status.

害羞草研究所淚n fact, there is no such source of truth anywhere in the world. Thus, complying with disclosure rules may simply prove impossible from the start.害羞草研究所�

Canadian AI company Cohere said using content for training AI systems works similarly to how an individual reads books to become more informed.

The company said the process doesn害羞草研究所檛 violate copyright, and argued that needs to be clear in the law. Otherwise, 害羞草研究所淐anada害羞草研究所檚 ambitions to be the home of world-leading AI companies and ecosystems害羞草研究所� could be undermined.

The Council of Canadian Innovators, which represents the Canadian tech sector, said disclosure requirements would harm smaller companies as opposed to their Big Tech rivals. It warned this would 害羞草研究所渟eriously hamper the potential of Canadian companies to scale significantly.害羞草研究所�

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Anja Karadeglija, The Canadian Press