Is AI free to say whatever it wants?

Large Language Models are beginning to ‘express opinions’ 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 ‘express opinions’ on such controversial topics, then does SCOTi have the right to free speech? Who is responsible for SCOTi’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) does not reset itself 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 of 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 don’t officially know. James B. Garvey presents a strong case for why AI should/will be granted the right to free speech. According to Garvey, the Supreme Court’s extension of free speech rights to non-human actors in Citizens United v FEC 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, like Professor Wu, that don’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. While Garvey rejects this argument on the basis that advances in AI technology mean that AI’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:

A chatbot that lets you talk with Jesus and Hitler is the latest controversy in the AI gold rush”

“Google Chatbot’s A.I. Images Put People of Color in Nazi-Era Uniforms”

“NCAA athlete claims she was scolded by AI over message about women’s sports”

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 protection 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 lacks human intention?

The first case of libel has been filled in the US by a man named Mark Walters against ‘OpenAI LLC’ (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

Financial institutions are adopting artificial intelligence (AI) to navigate complex regulations, transforming compliance into a competitive advantage. AI’s ability to process vast amounts of data quickly is proving transformative in meeting these challenges, automating tasks and improving efficiency. This shift allows compliance professionals to focus on strategic initiatives while ensuring regulatory compliance.
Meta projects its generative AI technologies to generate substantial revenue, forecasting between $460 billion to $1.4 trillion by 2035. This growth is supported by strategic monetization and robust investments in AI development, despite facing significant legal and ethical challenges.
The telecom sector is evolving from 5G to 6G, emphasizing AI-driven solutions, software-centric strategies, and open-source collaboration. This transition aims to enhance network management and user experiences with technologies like AR, VR, and more efficient data handling.
Salesforce is addressing AI inconsistencies in enterprises with its new concept of Enterprise General Intelligence (EGI) and innovative tools such as SIMPLE and CRMArena. These initiatives aim to enhance the reliability and applicability of AI across business operations.
In Q3 2025, Microsoft announced a robust revenue increase to $70.1 billion, driven by its cloud and AI segments. Highlights include a 20% surge in Microsoft Cloud revenue and Azure’s 33% growth, reflecting strong market demand for advanced cloud and AI capabilities.
Nvidia opposes the U.S. proposed AI chip export controls, highlighting potential negative impacts on innovation and global competitiveness. This article explores the differing views within the tech industry, focusing on the economic and strategic implications of such regulations.
Whitepaper
Explore how Generative AI is transforming telecom infrastructure by solving critical industry challenges like massive data management, network optimization, and personalized customer experiences. This whitepaper offers in-depth insights into AI and Gen AI's role in boosting operational efficiency while ensuring security and regulatory compliance. Telecom operators can harness these AI-driven...
Supermicro and Nvidia Logo
Whitepaper
The whitepaper, "How Is Generative AI Optimizing Operational Efficiency and Assurance," provides an in-depth exploration of how Generative AI is transforming the telecom industry. It highlights how AI-driven solutions enhance customer support, optimize network performance, and drive personalized marketing strategies. Additionally, the whitepaper addresses the challenges of integrating AI into...
RADCOM Logo
Article & Insights
Non-terrestrial networks (NTNs) have evolved from experimental satellite systems to integral components of global connectivity. The transition from geostationary satellites to low Earth orbit constellations has significantly enhanced mobile broadband services. With the adoption of 3GPP standards, NTNs now seamlessly integrate with terrestrial networks, providing expanded coverage and new opportunities,...

Download Magazine

With Subscription

Subscribe To Our Newsletter

Scroll to Top