Category AI

A Primer and FAQ on Copyright Law and Generative AI for News Media

[João Pedro Quintais and Nick Diakopoulos] From the perspective of authors and copyright holders, there is a clear concern that generative AI tools are built on the unauthorized and non-remunerated use of their works, while at the same time negatively impacting their livelihood. At the same time, it is also noted that these tools benefit many artists and content creators, whose interests should be considered when regulating these technologies from a copyright policy perspective. Others still are concerned that legal intervention at this stage would lead to market concentration and “make our creative world even more homogenous and sanitized”... In this post we’ll parse these legal issues, first offering some background on copyright law and AI models, and then reflecting on some more specific and pragmatic questions that may impact how you think about using the models in different news production tasks.

Right to Research: Understanding Copyright and Access to Scientific Works: Insights from Professor Sara Bannerman

Professor Sara Bannerman shared insights on the historical context of copyright and the need to consider research as a human right during our Right to Research event series last semester. As an expert in copyright history, Bannerman stressed the importance of knowing about the past to understand the present and future of copyright and intellectual property.  

UK Government Axes Plans to Broaden Existing Text and Data Mining Exception

[Eleonora Rosati]... In mid-2022, the UK Intellectual Property Office (IPO) announced that Government would consider broadening the scope for unlicensed TDM activities and introduce a new E&L that would allow TDM for any purpose (including commercial TDM), subject to a lawful access requirement to the relevant copyright works and other protected subject-matter. The latest news, however, is that such a reform will not go ahead. Indeed, yesterday the UK Minister for Science, Research and Innovation confirmed that any such plans have now been axed...

Examples of Text and Data Mining Research Using Copyrighted Materials

[Sean Flynn and Lokesh Vyas] Last week, Science Magazine published a joint academic opinion by leading copyright scholars from around the world calling for copyright reform to enable text and data mining (TDM) research. The opinion calls for all countries to evaluate their laws, and for international institutions to guide them, so that text and data mining research can take place everywhere, including through cross-border collaborations between researchers in different countries. In this article, we survey some of the kinds of important TDM projects that need copyright permission to be enabled everywhere. 

The UK Government Moves Forward With a Text and Data Mining Exception for All Purposes

[Alina Trapova and João Pedro Quintais] As previously reported, between October 2021 and January 2022 the UK Intellectual Property Office held a public consultation on the intersection between artificial intelligence (AI) and intellectual property laws... the UK government has now decided to introduce a new copyright and database right exception which allows TDM for any purpose, i.e. including commercial uses. Licensing will no longer be an issue and rightholders will not be able to opt-out or contract out of the exception. The government believes that this approach would significantly benefit a wide range of stakeholders – from researchers, AI developers, small businesses, through cultural heritage institutions, journalists, all the way to engaged citizens.

Rules of Engagement: Copyright and Automated Gatekeepers’ Influence on Creative Expression

[Michael Carroll] Abstract: This Essay turns questions about artificial intelligence and copyright law around. Rather than focus on algorithms as potential authors, this Essay argues for more attention to the role of algorithms as gatekeepers on social media and how creators adapt their creative choices to meet the demands of these automated tastemakers. Using TikTok’s “For You” algorithm and its role in breaking Lil Nas X’s hit song “Old Town Road” as a case study, this Essay poses the question whether algorithmic gatekeeping is simply a difference in degree or a difference in kind from an artist’s perspective. While tentative, this Essay concludes that this change is a difference in kind because of the rule-bound nature of software, the absence of transparency and accountability for algorithmic decision making, and the flawed data models that inform this form of cultural gatekeeping.

The AI-Copyright Challenge: Tech-Neutrality, Authorship, and the Public Interest

[Carys Craig] Abstract: Many of copyright’s core concepts—from authorship and ownership to infringement and fair use—are being challenged by the rapid rise of generative AI. Whether in service of creativity or capital, however, copyright law is perfectly capable of absorbing this latest innovation. More interesting than the doctrinal debates that AI provokes, then, is the opportunity it presents to revisit the purposes of the copyright system in the age of AI.

Intellectual Property and Investment Protection: A Misleading Equation

[Christophe Geiger] Without any doubt, important investments are often needed to generate creative outputs. However, the intellectual property (IP) system does not protect them as such; investments are only indirectly protected through the possibility to exploit and monetize the rights granted to a creator as a counterpart to the collective enrichment generated by the access to his new work. If the investment (however substantial) does not lead to a creative output, no protection is granted. This short opinion article tries to demonstrate that the progressive paradigm shift of intellectual property to an investment-protection mechanism is probably at the core of most of the current problems faced by the IP system.

Research Exceptions in Comparative Copyright Law

[Sean Flynn, Michael Palmedo, and Andrés Izquierdo] Abstract: Recent scholarship has highlighted the positive impact on scholarship of copyright exceptions for text and data mining and of more “open” exceptions for research uses. Until now, however, there has not been a collection and categorization of the world’s copyright laws according to the degree to which they provide exceptions for research. In this report, we release the results of the first such study. We show that every copyright law in the world has at least one exception to promote research uses of copyrighted works, but that such exceptions vary widely between countries.

Joint Submission by 14 Scholars to the Government of Canada, re: Copyright, Artificial Intelligence, and the Internet of Things

This submission concerns the interaction between copyright and AI. The recommendations herein reflect the shared opinion of the intellectual property scholars who are signatories to this brief... In what follows, we explain: The importance of approaching the questions raised in the consultation with a firm commitment to maintaining the appropriate balance of rights and interests in Canada’s copyright system, consistent with a robust principle of technological neutrality; The importance of ensuring that text and data mining (TDM) activity can be undertaken in Canada without the threat of potential copyright liability. We therefore propose both an opening up of Canada’s fair dealing doctrine to better accommodate TDM activities, and the enactment of a specific statutory provision to confirm that uses of copyright works and other subject matter for TDM (whether commercial or non-commercial) do not infringe copyright; The importance of resisting calls to extend copyright protection to AI-generated outputs. We therefore propose maintaining and confirming the existing principled requirements of human authorship and original expression as preconditions of copyright protection, and we caution against any move to establish new neighbouring or sui generis rights in respect of AI outputs. Works generated by AI should remain in the public domain.