By Anika Collier Navaroli

As journalists increasingly turn to generative artificial intelligence to draft copy, summarize research, and iterate on headlines, a profound, unsettled legal question looms over the newsroom: Does the output of a Large Language Model (LLM) enjoy the same constitutional protection as the words of a human reporter?

For centuries, the First Amendment has served as the bedrock of American journalism, protecting the freedom of the press and the individual right to express ideas. However, we are currently navigating a legal frontier where the definition of “speech” is being challenged by math. If you use AI to draft your next investigative piece, are you creating protected journalism, or are you handing your First Amendment shield to a “nonhuman speaker”?

The Legal Tug-of-War: Is AI Output “Speech”?

The debate over whether generative AI constitutes protected speech has moved from the abstract realm of philosophy into the concrete arena of the courtroom. As tech giants face a wave of litigation—ranging from claims that chatbots encouraged self-harm to accusations that they facilitated criminal activity—their legal teams have adopted a consistent defense strategy: they argue that AI output is constitutionally protected speech.

These companies draw parallels between their chatbots and other forms of algorithmic expression, such as video games or social media content moderation, both of which have previously garnered First Amendment protection. The argument posits that because the design and deployment of these systems involve human choices, the resulting output should be treated as protected expression.

However, the courts have yet to offer a definitive ruling. The landmark lawsuit involving Character.AI, where a chatbot was accused of influencing a teenager’s suicide, concluded in a private settlement, leaving the legal precedent unwritten. Similarly, ongoing litigation involving OpenAI and other industry leaders remains in its nascent stages, leaving journalists in a state of precarious ambiguity.

A “Stochastic Parrot” or a Speaker?

To understand why this legal uncertainty exists, we must first look at what an LLM actually is. In their seminal 2021 paper, researchers Emily Bender, Timnit Gebru, Angelina McMillan-Major, and Margaret Mitchell famously characterized LLMs as “stochastic parrots.” They argued that these systems are essentially systems for “haphazardly stitching together sequences of linguistic forms” based on probabilistic information, devoid of any genuine communicative intent or semantic understanding.

This lack of “meaningful intent” is the crux of the argument against granting AI the status of a protected speaker. From a legal standpoint, many scholars argue that the First Amendment was designed to protect human conviction—the ability to form, hold, and express an opinion. If an algorithm is merely predicting the next most likely token in a sequence, can it be said to be “speaking” at all?

The “Speech Certainty” Doctrine

A growing cohort of legal scholars, including those from Stanford Law, has proposed a framework known as “speech certainty.” The core tenet of this doctrine is that speech is only truly protected if the speaker understands and intends the message they are conveying. Because LLMs rely on “gradient descent”—a mathematical process of optimization that happens inside a black box—the output lacks this inherent human awareness. By this metric, the output of a chatbot is akin to the output of a spam filter: a functional, technical result, not a protected expression of ideas.

International Perspectives: A Different Path

While the United States remains locked in a debate over constitutional absolutism, other jurisdictions are moving forward with more concrete, if restrictive, definitions. In June of this year, a German court ruled that Google was liable for false information generated by its “AI Overview” feature.

The court’s reasoning was sharp: it declared that the text generated by AI was not the “expression of an acquired conviction,” but rather the “result of an algorithm.” By stripping the AI of “speaker” status, the court paved the way for traditional liability. This ruling highlights the stark contrast between the US—where First Amendment protections often shield corporations with broad immunity—and international standards that prioritize consumer protection and algorithmic accountability over corporate speech rights.

The Professional Stakes for Journalists

For the working journalist, these legal abstractions have immediate, tangible consequences. If the text generated by an AI is determined not to be “speech,” then the work you produce with the assistance of these tools may not enjoy the same constitutional protections as your human-authored drafts.

The Threat of Compelled Disclosure

If an unpublished story is drafted entirely by an AI, a government entity might argue that the document is not protected by the traditional safeguards afforded to a reporter’s notes or unpublished drafts. This creates a dangerous scenario where:

  • Source Protection is Compromised: If an LLM is not considered a “speaker,” the content fed into it—including confidential information—might be subject to discovery in ways that human-to-human communication is not.
  • Subpoenas: Governments could potentially subpoena the raw logs of your interactions with a chatbot, arguing that the machine’s output is simply a data product rather than privileged journalistic work.
  • Prior Restraint: If your AI-assisted work is viewed as a commercial product rather than protected journalism, the hurdle for the government to prevent its publication—or to force its removal—becomes significantly lower.

Chronology of a Shifting Landscape

  • 2021: The publication of “On the Dangers of Stochastic Parrots” by Bender et al. provides the theoretical framework for understanding LLM output as probabilistic math rather than human speech.
  • 2023–2024: Tech giants begin to face a surge of lawsuits (Character.AI, OpenAI, etc.). Legal defenses lean heavily on the argument that chatbot design is protected speech.
  • 2025 (April): Legal experts and advocates, including Meetali Jain of the Tech Justice Law Project, push for a clear distinction between “words” and “speech” in the context of AI.
  • 2025 (June): A German court sets a global precedent, ruling that Google’s AI output is the result of an algorithm and not the expression of a person, rendering the company liable for errors.
  • Present Day: Journalists remain in “uncharted territory,” using tools that may inadvertently strip their work of constitutional protection.

Implications: The “Cracked and Slimy” Road Ahead

The history of the First Amendment is one of constant adaptation. I recall my days as a copy clerk at the Tampa Bay Times, watching the industry shift from the physical printing press to digital workflows. We assumed the law would evolve to cover these new formats, and for a time, it did. However, the current environment is different.

We are seeing a trend where the First Amendment is increasingly used to shield corporations from the consequences of their technology, even as the government becomes more aggressive in suppressing actual human expression—labeling independent journalists or protesters as threats.

If we allow the legal system to grant AI the status of a protected speaker, we risk creating a world where machines have more rights than the humans who build them. Conversely, if we allow the legal system to designate AI output as “unprotected,” we open the door for governments to subpoena our workflows and threaten the confidentiality of our sources.

Recommendations for Newsrooms

As we await further guidance from the courts, journalists should exercise extreme caution:

  1. Maintain Human Oversight: Ensure that the “communicative intent” of any article remains anchored in human editorial judgment.
  2. Audit Your Prompts: Treat the prompts you feed into an LLM with the same sensitivity as you would a notebook containing sensitive source material.
  3. Stay Informed: The legal definition of “speech” is currently being rewritten in real-time. What is true today may be rendered moot by the next major circuit court ruling.

We are currently standing at a crossroads. We can continue to blindly adopt these “synthetic text-extruding machines,” or we can insist that journalism remains a uniquely human endeavor, grounded in the responsibility, accountability, and legal protections that only human speakers can possess. The future of a free press depends not just on the tools we use, but on our willingness to fight for the legal protections that define our profession.


This piece was produced with support from the Craig Newmark Center for Journalism Ethics and Security. Anika Collier Navaroli is the director of the center and a professor at Columbia Journalism School.

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