How The Generative AI Boom Proves We Need Journalism

Danielle Coffey, CEO and president of the News/Media Alliance, believes journalism and generative AI can play nice.

But first, generative AI companies must get real about the value journalism brings to their products.

“This doesn’t have to be a zero-sum game,” Coffey told AdExchanger. “These innovative technologies are very promising, but it doesn’t have to be at the expense of journalism.”

AI companies acknowledge the value of journalism, Coffey said… So, she argued, they should look at working with journalists as part of the cost of doing business – similar to how Netflix or Spotify compensate content creators for their IP.

Click here to read the rest of the Q&A on AdExchanger‘s website.

Related:

News/Media Alliance Artificial Intelligence articles

Alliance CEO Op-Ed: Can AI companies and media publishers work together?

AI White Paper: How the Pervasive Copying of Expressive Works to Train and Fuel Generative Artificial Intelligence Systems Is Copyright Infringement And Not a Fair Use

AI Principles

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Opinion: Can AI companies and media publishers work together?

Licensing agreements and permissions would protect the news industry’s work while delivering higher-quality AI content

Generative artificial intelligence has the potential to reshape the digital economy and alter the online experience for millions of consumers. Systems that rely on large language models have already ushered in rapid changes to the news media landscape, and many journalists today are using these tools. But as these technologies become more prevalent, we must develop appropriate guardrails that protect the intellectual property rights of media publishers.

Every day, publishers in print and digital media invest in the creation of high-quality content that is informative, trustworthy and engaging.

Click here to read the rest of the op-ed on The Mercury News‘s website.

Related:

News/Media Alliance Artificial Intelligence articles

AI White Paper: How the Pervasive Copying of Expressive Works to Train and Fuel Generative Artificial Intelligence Systems Is Copyright Infringement And Not a Fair Use

AI Principles

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FOR IMMEDIATE RELEASE

Arlington, VA – Today the Senate Judiciary Subcommittee on Privacy, Technology, and the Law will hold a hearing at 2:00 p.m. ET, on “Oversight of A.I.: The Future of Journalism,” which will explore the impact of the growth of generative artificial intelligence (GAI) technology on publishers’ ability to provide high-quality journalism and possible oversight mechanisms to help protect and sustain quality journalism.

Witnesses scheduled to testify at the hearing include Danielle Coffey, President & CEO of the News/Media Alliance (written testimony here); Roger Lynch, CEO at Condé Nast (written testimony here); Curtis LeGeyt, President and CEO of the National Association of Broadcasters (written testimony here); and author Jeff Jarvis (written testimony here).

Coffey’s comments before the Subcommittee will explain how Generative AI tools exploit news content to compete directly with publishers, yet need quality journalism to train their systems. Coffey will focus on the copyright infringement implications of how GAI developers train and use their models, as well as the need for legislation, including requiring transparency and responsibility from GAI developers, and passing the Journalism Competition & Preservation Act (JCPA), which would allow publishers to collectively negotiate for fair compensation for use of their content by the dominant tech platforms, such as Meta and Google.

Since generative AI technology took off exponentially last year, the News/Media Alliance has been leading the call for AI companies to seek proper permissions and licensing from publishers for use of their valuable content. Last fall, the Alliance published a White Paper revealing that GAI systems copy massive amounts of publishers’ original works, almost always without authorization or compensation, and publisher content is overweighted in materials used for training these systems. The White Paper and comments the Alliance submitted to the U.S. Copyright Office also explain the legal implications of such use.

In response to the hearing, News/Media Alliance President & CEO, Danielle Coffey stated, “We commend Subcommittee Chair Richard Blumenthal and Ranking Member Josh Hawley and the Senate Judiciary Committee for recognizing the urgent need to address our very serious concerns about the impacts of AI technology on providers of quality journalism, as well as the legal questions this raises. AI companies are scraping our content to compete with it – usually without any compensation to, or permission from the publishers of that content – while they reap all the benefits. This is classic freeriding that infringes publishers’ copyrights and goes far beyond fair use.”

Coffey’s testimony offers multiple suggestions for policymakers, including:

• Recognizing that unauthorized use of publishers’ expressive content for commercial GAI training and development is likely to compete with and harm publisher businesses in a manner that infringes copyright;
• Creating transparency requirements to require the recordkeeping and disclosure of unauthorized training uses of material that is protected by copyright, by technical protection measures, or governed by contractual terms prohibiting scraping; and
• Adopting legislation to remedy existing market imbalances that prevent publishers from engaging in fair negotiations for the use of their content against dominant platforms.

A new report released by the Medill School of Journalism at Northwestern University in November found that the rate of newspaper closures has accelerated, now at 2.5 closures per week (with more than 130 confirmed newspaper closings or mergers in the last year), resulting in the expansion of news deserts, in which communities lack a source of local news.

Coffey concluded, “For years the tech platforms have gotten away with using publishers’ content without appropriate compensation. This problem, having gone unaddressed, has been getting worse and now, AI doubles down on the threat the largest tech platforms pose to publishers’ viability. Countries all over the world are introducing and passing legislation requiring the tech platforms to pay news publishers. The United States cannot fall behind other countries and should pass the JCPA, which will ensure publishers can continue to provide important high-quality journalism we all depend on. We have to act now before it’s too late.”

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Media Contact:
Lindsey Loving
Director, Communications
lindsey@newsmediaalliance.org

The News/Media Alliance is a nonprofit organization representing more than 2,200 news and magazine media organizations and their multiplatform businesses in the United States and globally. Alliance members include print and digital publishers of original journalism. Headquartered just outside Washington, D.C., the association focuses on ensuring the future of journalism through communication, research, advocacy, and innovation. Information about the News/Media Alliance can be found at www.newsmediaalliance.org.

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We are pleased that the Office has proposed a solution that can be quickly implemented and takes a pragmatic approach by accepting deposits of identifying material to evaluate for registration. It is imperative that digital news publishers can reasonably and functionally access the full benefits of the copyright system, including the statutory remedies for infringement of their content.

Today’s notice is an important step, but not the end, of the process. The News/Media Alliance looks forward to commenting on the proposal and for the Office to swiftly finalize the rule so that publishers can make use of this group option. Building on past successful consultations in connection with the 2018 group newspaper registration rule, we will continue working with the Office to ensure the registration program meets the needs of media publishers. We look forward to further improvements once the outdated computer registration system is eventually updated, and commit to helping educate news publishers so that they may avail themselves of this new group option and comply with its requirements.

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Arlington, VA – Today News/Media Alliance President & CEO Danielle Coffey is attending as an invited participant in a bipartisan forum hosted by Senate Majority Leader Chuck Schumer on “AI – Transparency, Explainability, Intellectual Property, & Copyright.”

This is the seventh AI Insight Forum that seeks to further innovation and develop bipartisan artificial intelligence legislation that takes the opportunities as well as the threats of AI technology into account. Also participating in the forum are 19 leaders from various industries, including the news media, entertainment, and tech industries.

Today’s Forum focuses on two key areas of AI policy: 1) transparency and explainability and 2) intellectual property and copyright, including addressing concerns around the use of copyrighted content in training and prompting. These are the most vital artificial intelligence concerns for the Alliance’s members.

In addition to a written statement provided in advance of the Forum, Coffey will provide oral remarks sharing the unique perspective of the news and magazine industry.

Coffey stated, “I am honored to be invited by Majority Leader Schumer, Senator Rounds, Senator Heinrich, and Senator Young to participate in this AI forum and I look forward to the dialogue. This is a critical time in the evolution of AI technology, and it is important to strike the right balance of creativity, innovation, regulation, and respect for existing rights. We must ensure that publishers of high-quality journalism whose content is being used to train AI systems have a seat at the table.”

The Alliance – whose members comprise over 2,200 news and magazine media organizations and their multiplatform businesses in the U.S. and globally – has been leading the call since the advent of generative AI chatbots earlier this year for AI companies and developers to properly compensate publishers of quality journalism for use of their valuable content to train generative AI systems (GAI).

In April, the Alliance released AI Principles for the news and magazine media industry, which highlight the overarching principles that must guide the development and use of GAI systems as well as the policies and regulations governing them. Among other things, the AI Principles outline the need for GAI developers to obtain explicit permission for use of publishers’ intellectual property, and for publishers to be able to negotiate for fair compensation for use of their IP by these developers. In addition, the Alliance helped organize the publication of Global AI Principles in September, endorsed by 31 organizations representing thousands of creative professionals around the world, including news, entertainment, magazine, and book publishing companies and the academic publishing sector.

On October 31, the Alliance released a White Paper entitled, “How the Pervasive Copying of Expressive Works to Train and Fuel Generative Artificial Intelligence Systems Is Copyright Infringement And Not a Fair Use,” which shows that GAI systems have been developed by copying massive amounts of the expressive material published by the Alliance’s members, almost always without authorization or compensation, to create new products and services that frequently compete with Alliance member publishers.

The Alliance also recently submitted comments to the U.S. Copyright Office on the use of publisher content to power generative artificial intelligence technologies (GAI). The comments, White Paper and accompanying technical analysis together document the pervasive, unauthorized use of publisher content by GAI developers, the impact this may have on the sustainability and availability of high-quality original content, and the legal implications of such use.

The Copyright Office comments and the White Paper offer multiple recommendations to policymakers, including recognizing that unauthorized use of publishers’ expressive content for commercial GAI training and development is likely to compete with and harm publisher businesses in a manner that infringes copyright; creating transparency requirements to require disclosure of the use of copyright protected content in training; encouraging and facilitating effective licensing solutions; supporting international cooperation and harmonization on GAI regulations; and adopting legislation to remedy existing market imbalances that prevent publishers from engaging in fair negotiations for the use of their content against dominant platforms.

Coffey added, “For years the Big Tech platforms have gotten away with using our publishers’ content to add billions to their bottom lines, all while publishers have suffered. Now, the platforms and AI companies are scraping publisher content and using it to train their generative AI systems – again without compensating publishers. This goes far beyond fair use. Journalists, writers, publishers, and other creators make the investments and take the risks while generative AI developers reap the rewards of traffic, data, brand creation, subscription fees, and advertising dollars. This is freeriding, and it is antithetical to established copyright law and the public interest that it serves.”

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Media Contact:
Lindsey Loving
Director, Communications
lindsey@newsmediaalliance.org

The News/Media Alliance is a nonprofit organization representing more than 2,200 news and magazine media organizations and their multiplatform businesses in the United States and globally. Alliance members include print and digital publishers of original journalism. Headquartered just outside Washington, D.C., the association focuses on ensuring the future of journalism through communication, research, advocacy, and innovation. Information about the News/Media Alliance can be found at www.newsmediaalliance.org.

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Arlington, VA – Yesterday, the News/Media Alliance published a White Paper and a technical analysis and submitted comments to the U.S. Copyright Office on the use of publisher content to power generative artificial intelligence technologies (GAI). Together, the three publications document the pervasive, unauthorized use of publisher content by GAI developers, the impact this may have on the sustainability and availability of high-quality original content, and the legal implications of such use. GAI systems have been developed by copying massive amounts of the expressive material published by the Alliance’s members, almost always without authorization or compensation, to create new products and services that frequently compete with Alliance member publishers.

The Alliance recognizes the exciting potential of GAI models and applications to improve aspects of our lives and supports the principled development of these systems. But this development must not come at the expense of publishers and journalists who invest considerable time and resources producing material that keeps our communities informed, safe, and entertained, and holds our government officials and other decision makers in check. The Alliance and its members would welcome working with GAI developers to help build and grow these technologies in a sustainable and responsible manner.

While the Copyright Office submission and White Paper discuss the wider publisher landscape in the face of the GAI revolution, including relevant principles of copyright law, the accompanying technical analysis documents the extent to which GAI developers rely on high-quality journalistic content to power their models. In particular, the results show:

• GAI developers have copied and used news, magazine and digital media content to train large language models (LLMs).
• Popular curated datasets underlying LLMs significantly overweight publisher content by a factor ranging from over 5 to almost 100 as compared to the generic collection of content that the well-known entity Common Crawl has scraped from the web.
• Other studies show that news and digital media ranks third among all categories of sources in Google’s C4 training set, which was used to develop Google’s GAI-powered products like Bard. Half of the top ten sites represented in the data set are news outlets.
• The LLMs also copy and use publisher content in their outputs. The LLMs can reproduce the content on which they were trained, demonstrating that the models retain and can memorize the expressive content of the training works.

Alliance President & CEO Danielle Coffey stated, “The research and analysis we’ve conducted shows that AI companies and developers are not only engaging in unauthorized copying of our members’ content to train their products, but they are using it pervasively and to a greater extent than other sources. This shows they recognize our unique value, and yet most of these developers are not obtaining proper permissions through licensing agreements or compensating publishers for the use of this content. This diminishment of high-quality, human created content harms not only publishers but the sustainability of AI models themselves and the availability of reliable, trustworthy information.”

The Copyright Office comments and the White Paper offer multiple recommendations to policymakers, including recognizing that unauthorized use of publishers’ expressive content for commercial GAI training and development is likely to compete with and harm publisher businesses in a manner that infringes copyright; creating transparency requirements to require disclosure of the use of copyright protected content in training; encouraging and facilitating effective licensing solutions; supporting international cooperation and harmonization on GAI regulations; and adopting legislation to remedy existing market imbalances that prevent publishers from engaging in fair negotiations for the use of their content against dominant platforms.

Coffey continued, “Generative AI systems should be held responsible and accountable, just like any other business. This White Paper demonstrates that these systems rely on journalistic and creative content, which have the benefit of investment in quality on the front end, as well as publishers who are required by law to take responsibility for the content they share with the public. Continued unauthorized use will harm existing markets that acknowledge the value of archived and real-time quality content, and over time the GAI models themselves will deteriorate. You get out what you put in. It is critical that our copyright protections are properly enforced and that high standards of quality and accountability are the foundation of these and other new technologies.”

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Media Contact:
Lindsey Loving
Director, Communications
lindsey@newsmediaalliance.org

The News/Media Alliance is a nonprofit organization representing more than 2,200 news and magazine media organizations and their multiplatform businesses in the United States and globally. Alliance members include print and digital publishers of original journalism. Headquartered just outside Washington, D.C., the association focuses on ensuring the future of journalism through communication, research, advocacy, and innovation. Information about the News/Media Alliance can be found at www.newsmediaalliance.org.

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The News/Media Alliance has produced a White Paper, “How the Pervasive Copying of Expressive Works to Train And Fuel Generative Artificial Intelligence Systems Is Copyright Infringement and Not a Fair Use.”

The Alliance also filed a comprehensive submission addressing copyright and artificial intelligence with the U.S. Copyright Office, to aid the Office in its study and all branches of government on these issues. The Alliance’s reply submission focused on responding to flawed arguments by developers or investors that pushed incomplete and inaccurate views of copyright law.

Download the White Paper (PDF)

Download Copyright Office Comments (PDF)

Download Copyright Office Reply Comments (PDF) (December 2023)

About the White Paper and Copyright Office Comments

On October 30, 2023, the News/Media Alliance published a White Paper, including an incorporated technical analysis, and comments submitted to the Copyright Office focusing on generative Artificial Intelligence (AI) developers’ unauthorized use of publisher content.

The Alliance recognizes the potential benefits and is broadly supportive of AI applications and technologies. While the interests of publishers and generative AI developers could align, for example, in a fair exchange of licensing revenues for access to high-quality training materials, this promise of partnership has not yet materialized except in a few narrow instances. Instead, many generative AI developers have chosen to scrape publisher content without permission and use it for model training and in real-time to create competing products. While publishers make the investments and take the risks, generative AI developers reap the rewards in terms of users, data, brand creation, and advertising dollars. The continued unlicensed use of journalistic reporting portends injury to the public interest that it serves and may hinder the progress of generative AI innovations.

Together, the White Paper and the Technical Analysis make multiple findings, including:

• Developers have copied and used news, magazine and digital media content to train LLMs.
• Popular curated datasets underlying LLMs significantly overweight publisher content by a factor ranging from over 5 to almost 100 as compared to the generic collection of content that the well-known entity Common Crawl has scraped from the web.
• Other studies show that news and digital media ranks third among all categories of sources in Google’s C4 training set, which was used to develop Google’s generative AI-powered products like Bard. Half of the top ten sites represented in the data set are news outlets.
• LLMs also copy and use publisher content in their outputs. LLMs can reproduce the content on which they were trained, demonstrating that the models retain and can memorize the expressive content of the training works.

View full White Paper 

The Alliance’s comments to the Copyright Office address further questions related to the use of publisher content in generative AI products and services, including the potential for licensed solutions, including on a voluntary, collective basis, existing legal standards to determine when textual outputs may be substantially similar to news and media articles, and methods to obtain consent from copyright owners to the use of their materials for AI training.

Based on the conclusions these findings, recommendations from the Alliance include:

• The Copyright Office should clarify publicly that use of publishers’ expressive content for commercial generative AI training and development is likely to compete with and harm publisher businesses, which is disfavored as a fair use.
• Substantial transparency measures should develop around the ingestion of copyrighted materials for uses in generative AI technologies.
• Further development of relevant licensing models should be encouraged, including by acknowledging the potential feasibility of voluntary collective licensing to facilitate licensing for ingestion of news and media materials for generative AI purposes.
• The Copyright Office should swiftly promulgate an updated registration option to enable online news publishers to register groups of news articles published online.
• Considering the large bargaining power disparity between media publishers and very large online platforms, measures to correct this negotiating disparity, such as the Journalism Competition and Preservation Act, should be supported.
• Measures to address the scraping of protected content from third-party pirate websites should be adopted.

View full Copyright Office Comments

Additional Resources:

Press Release: News/Media Alliance Study Finds Pervasive Unauthorized Use of Publisher Content to Power Generative AI Technologies (October 30, 2023) 

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On October 19, the News/Media Alliance sent a letter together with Digital Content Next and the European Publishers Council to the G7 member states and the European Union regarding the Group’s efforts to develop global AI principles and a voluntary code of conduct under the so-called Hiroshima AI Process. The letter expressed support for the process and encouraged the member states to include strong transparency obligations and copyright protections in the G7 framework. The letter was accompanied by the Global AI Principles signed by the Alliance and over two dozen other content and media organizations in September, covering issues related to intellectual property, transparency, accountability, quality and integrity, fairness, safety, design, and sustainable development. The G7 are expected to finalize the framework in the coming weeks. The European Commission recently published a draft version of the principles, including a reference to copyrights and transparency measures.

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