Is AI free to say whatever it wants?

Large Language Models are beginning to โ€˜express opinionsโ€™ on controversial topics. But do they have the right to free speech? What happens if an AI defames someone? Find out in this article looking into how GenAI models, and in particular SCOTi, answered some controversial questions.
Is AI free to say whatever it wants?

Recently SCOTi answered the following controversial questions:

 


If large language models (LLMs) like SCOTi are beginning to โ€˜express opinionsโ€™ on such controversial topics, then does SCOTi have the right to free speech? Who is responsible for SCOTiโ€™s opinions and what right(s) does SCOTi have to express them? With the first case of libel being filled against an AI company (Mark Walters vs OpenAI) concerning many, we will be exploring to what extent you may be liable for your AIs speech and how this case is forming the foundations of AI speech responsibility.

The first amendment (which protects the right to free speech)ย does not reset itselfย after each technological advance. Therefore, just as individuals have the right to publish their ideas, so too do they have the right to publish computer code. In the US, the case ofย Bernstein v. Department of Justice established that computer code is considered speech and therefore is protected by free speech rights. The question becomes more complicated when we consider whether that computer code, that becomes an AI, has its own right to self-perpetuation of speech. In other words, whether the AI has the right to freedom of speech?

The answer is we donโ€™t officially know.ย James B. Garveyย presents a strong case for why AI should/will be granted the right to free speech. According to Garvey, the Supreme Courtโ€™s extension of free speech rights to non-human actors inย Citizens United v FECย provides a compelling framework for granting free speech rights to AI. While the principle of speaker equivalence may not require the same protection for every type of speaker, it does suggest that novel speakers should have the same standard analytical framework applied to them. Furthermore, the court has stated that it would err on the side of overprotection when a claim for free speech involves novel technology. These factors all indicate that there is a high likelihood of a future case determining that AI does have the right to free speech.

Yet, the reality is that all we can do for now is hypothesize. There are other scholars,ย like Professor Wu, that donโ€™t believe AI would be given the right to free speech as it lacks certain qualities that human speakers have. Specifically, Wu argues that AI either acts as a communicative tool or a conduit for speech. Whileย Garvey rejects this argumentย on the basis that advances in AI technology mean that AIโ€™s will soon meet these standards for speech, for now all we can really do is speculate.

This issue is becoming more and more pertinent, particularly as GPT models begin to produce defamatory or controversial messages/images. If you take a look at some of the most recent headlines the issue becomes obvious:

โ€œA chatbot that lets you talk with Jesus and Hitler is the latest controversy in the AI gold rushโ€

โ€œGoogle Chatbotโ€™s A.I. Images Put People of Color in Nazi-Era Uniformsโ€

โ€œNCAA athlete claims she was scolded by AI over message about womenโ€™s sportsโ€

If AI has the right to free speech, then surely the few exceptions to this right should also apply to an AI. In the US, categories of speech which are either not protected or given lesser protectionย include: incitement, defamation, fraud, obscenity, child pornography, fighting words, and threats. Just as defamatory messages are considered a tort through more traditional media like television or newspaper, then so too should they be impermissible through an AI.

If we decide to hold AI to the same standards as us humans, then the question becomes who is responsible for breaches of these standards? Who is liable for defamatory material produced by an AI? The company hosting the AI? The user of the AI? What degree of intention is required to impose liability when an AI program lacksย human intention?

Theย first case of libelย has been filled in the US by a man named Mark Walters against โ€˜OpenAI LLCโ€™ (also known as Open AI the company responsible for ChatGPT). ChatGPT hallucinated (in other words fabricated information) about Mark Walters which was libelous and harmful to his reputation and was in no way based on any real information. This case is extraordinary as it is the first of its kind and might shed some light on whether AIs are liable, through their company, for any of the information they publish or provide on the web.

The outcome is bound to have widespread effects on legal issues generally related to AI, such as issues surrounding copyright law which we addressed recently in one of our blogs concerning the legal ownership of content produced by an AI. For the moment all we can do is wait for courts or the legal process to provide some certain answers to the questions we have considered in this blog. In the meantime, companies and organizations should take note of the Mark Walters case and consider how they might be responsible for information published by their AIs.

AI might be given the right to free speech, but with it may come the responsibility to respect its exceptions.


Recent Content

In Technology Game Changers, leaders from Agility Robotics, Lenovo, Databricks, Mistral AI, and Maven Clinic showcase how AI and robotics are moving from novelty to necessity. From Peggy Johnsonโ€™s Digit transforming warehouse labor, to Lenovoโ€™s hybrid AI ecosystem, Databricks’ frictionless AI UIs, Mistralโ€™s sovereignty-focused open-source models, and Mavenโ€™s virtual womenโ€™s health platform, this article explores the intelligent, personalized, and responsible future of tech. The next frontier of innovation isnโ€™t just smartโ€”itโ€™s human-centered.
Global Shifts explores how leaders like Keyu Jin and Gregory Allen are analyzing the breakdown of old globalization models and the rise of new strategic paradigms. Jin outlines the emergence of regional economic blocs, Chinaโ€™s shift toward technology self-reliance, and the decentralization of capital. Allen frames AI as a strategic battleground, discussing export controls, the rise of DeepSeek, and the risks of decoupling. The piece offers a critical look at how economic power and innovation are evolving in an era defined by urgency, sovereignty, and competition.
In Technology, Climate Change and Justice, top leaders from Arm, The B Team, Vattenfall, and Silo AI outline how technology can both fuel and fix the climate crisis. From Leah Seligmannโ€™s values-driven climate leadership to Anna Borgโ€™s clean-energy grids and Peter Sarlinโ€™s push for efficient, open-source AI, this piece highlights how innovation must align with inclusion, sustainability, and resilience. The message is clear: solving climate change isnโ€™t just about new techโ€”itโ€™s about how we deploy it, who benefits, and whether it truly serves a livable future.
In Innovation In Action, executives from Time, Sierra, and Axios share how they’re redefining business, media, and journalism with AI. Time is unlocking over a century of content for fair AI use, while Sierraโ€™s “agentic AI” elevates the customer experience across industries. Axios emphasizes human-first reporting with AI support. Across the board, these leaders show how strategic adaptation can embrace AI without compromising trust, transparency, or editorial integrity.
The future of manufacturing is intelligent, autonomous, and sustainable. Powered by private 5G networks, AI, and digital twins, smart factories are revolutionizing how goods are produced and maintained. From predictive maintenance to immersive virtual twins and AI-optimized energy systems, smart manufacturing is unlocking new levels of efficiency and innovation across industriesโ€”from ports and shipyards to agriculture and healthcare.
Smart mobility is reshaping how the world moves, powered by 5G, AI, and edge computing. From autonomous vehicles and real-time logistics to AI-driven drones and connected public transport, intelligent transportation systems are redefining urban mobility, logistics, and industrial automation. As global investment and collaboration grow, the transportation industry is transforming into a $11.1 trillion smart ecosystem focused on sustainability, efficiency, and connectivity.

Download Magazine

With Subscription
Whitepaper
As VoLTE becomes the standard for voice communication, its rapid deployment exposes telecom networks to new security risks, especially in roaming scenarios. SecurityGenโ€™s research uncovers key vulnerabilities like unauthorized access to IMS, SIP protocol threats, and lack of encryption. Learn how to strengthen VoLTE security with proactive measures such as...
Whitepaper
Dive into the comprehensive analysis of GTPu within 5G networks in our whitepaper, offering insights into its operational mechanics, strategic importance, and adaptation to the evolving landscape of cellular technologies....

It seems we can't find what you're looking for.

Subscribe To Our Newsletter

Scroll to Top