Leading Media Organizations Call for Global AI Policy to Protect Editorial Integrity
09 Agosto 2023 - 7:57AM
Today, leading global news and publishing organizations signed onto
an open letter to policymakers and industry leaders globally,
laying out proposed principles for the regulated and responsible
growth of generative AI models.
In addition to outlining consequences for the media industry and
the public should the global regulatory landscape not evolve as
quickly as AI innovation, the letter also voices support for the
creation of an appropriate legal framework around the
technology.
Specifically, it outlines regulatory and industry actions to
drive responsible AI practices that protect the content powering AI
applications while preserving public trust in media, including:
- The disclosure of training sets used to create generative AI
models.
- The protection of intellectual property of those who make
content used to train AI.
- The ability for media companies to collectively negotiate with
AI model operators and developers over the use of proprietary
intellectual property.
- Mandates for generative AI models and users to clearly,
specifically, and consistently identify their outputs and
interactions as including AI-generated content;
- A requirement that generative AI model providers limit the bias
in, misinformation from, and abuse of AI services.
Signatories of the letter include:
- Agence France-Presse
- European Pressphoto Agency
- European Publishers’ Council
- Gannett | USA TODAY Network
- Getty Images
- National Press Photographers Association
- National Writers Union
- News Media Alliance
- The Associated Press
- The Authors Guild
The full letter can be found here, with full text below:
Preserving public trust in media through unified AI
regulation and
practices
Democracy is underpinned by trust in a free, reliable,
independent, and strong media ecosystem. We believe artificial
intelligence (AI) and generative models hold the potential to
provide significant benefits to humanity; however, left unchecked,
we also believe these technologies can threaten the sustainability
of the media ecosystem as a whole by significantly eroding the
public’s trust in the independence and quality of content and
threatening the financial viability of its creators.
The media industry has a history of embracing and successfully
navigating new technology, from the introduction of the printing
press to broadcast media to the internet and social media. However,
the pace of development and adoption of AI far exceeds that of
prior technological leaps, and it does so at the potential expense
of long-standing foundational intellectual property rights, as well
as the creators’ investments in high-quality media content.
We, the undersigned organizations, support the responsible
advancement and deployment of generative AI technology, while
believing that a legal framework must be developed to protect the
content that powers AI applications as well as maintain public
trust in the media that promotes facts and fuels our
democracies.
The Costs of Inaction
Generative AI and large language models make it possible for any
actor, without regard to their intent, to produce and distribute
synthetic content at a scale that far exceeds our past
experience. Such a flood of content can distort facts and
leave the public with no basis to discern what is true and what is
made up. Even absent malicious intent, many generative AI
applications and large language models produce factual errors and
fictional information, in addition to propagating long-standing
biases.
Generative AI and large language models are also often trained
using proprietary media content, which publishers and others invest
large amounts of time and resources to produce. These models
can then disseminate that content and information to their users,
often without any consideration of, remuneration to, or attribution
to the original creators. Such practices undermine the media
industry’s core business models, which are predicated on readership
and viewership (such as subscriptions), licensing, and advertising.
In addition to violating copyright law, the resulting impact is to
meaningfully reduce media diversity and undermine the financial
viability of companies to invest in media coverage, further
reducing the public’s access to high-quality and trustworthy
information.
The Way Forward
We are advocating for regulatory and industry action
including:
- Transparency as to the makeup of all training sets used to
create AI models.
- Consent of intellectual property rights holders to the use and
copying of their content in training data and outputs.
- Enabling media companies to collectively negotiate with AI
model operators and developers regarding the terms of the
operators’ access to and use of their intellectual property.
- Requiring generative AI models and users to clearly,
specifically, and consistently identify their outputs and
interactions as including AI-generated content.
- Requiring generative AI model providers to take steps to
eliminate bias in and misinformation from their services.
We are also highly supportive of efforts by government and
industry groups to create a set of consistent global standards
applicable to the development and deployment of AI.
Generative AI is an exciting advancement that offers the
potential for significant benefits to society if developed and
deployed responsibly. We applaud those in the AI community
who have taken steps to address these concerns and we thank
governments and agencies around the world for thoughtfully
considering these issues and advancing regulations in
response. We look forward to being part of the solution to
ensure that AI applications continue to prosper while respecting
the rights of media companies and individual journalists who
produce content that protects the truth and keeps our communities
informed and engaged.
List of Signatories:
- Agence France-Presse
- European Pressphoto Agency
- European Publishers’ Council
- Gannett | USA TODAY Network
- Getty Images
- National Press Photographers Association
- National Writers Union
- News Media Alliance
- The Associated Press
- The Authors Guild
Contact
alex.lazarou@gettyimages.com
Getty Images (NYSE:GETY)
Gráfica de Acción Histórica
De Abr 2024 a May 2024
Getty Images (NYSE:GETY)
Gráfica de Acción Histórica
De May 2023 a May 2024