This article summarises publicly available guidance from regulators and official sources. It is general educational information only and does not constitute legal or professional advice. Requirements vary by jurisdiction. Consult your regional authority or a qualified professional for advice specific to your situation.
Businesses that have already accepted that AI tools are useful for content production are now facing a more specific set of questions: what are the legal risks, and how serious are they? This guide addresses three categories that are most relevant for Australian SMBs: misleading conduct under the ACL (the highest practical risk for most businesses), copyright and intellectual property considerations (an unsettled area that is evolving), and defamation (relevant for any content that discusses real individuals or businesses). Professional liability is also addressed briefly for regulated professions.
In short: The most immediate legal risk for most businesses using AI content tools is publishing AI-generated factual claims that are wrong, which can constitute misleading or deceptive conduct under the Australian Consumer Law (ACL) regardless of how the content was produced. Copyright risk exists but the Australian position is unsettled and primarily relevant if AI-generated content closely reproduces identifiable existing works. Defamation risk is present for any published content about real individuals, whether AI wrote it or not. The response to all three is the same: review AI-generated content before publication with the same discipline you would apply to any published business content.
Misleading Conduct: The Highest Practical Risk
The Australian Consumer Law (Schedule 2 to the Competition and Consumer Act 2010) prohibits misleading or deceptive conduct in trade or commerce. The test under section 18 is objective: would a reasonable person in the target audience be misled or deceived by the content? Intention is not relevant. The source of the content is not relevant. If a business publishes content that is likely to mislead a reasonable person about a price, a product feature, a service capability, a competitor's products, or a regulatory claim, the conduct element of the ACL provision is engaged.
AI tools hallucinate: they generate confident-sounding content that is factually wrong. Hallucinations are most common in exactly the types of claims that the ACL is most concerned with: pricing, product specifications, regulatory compliance claims, comparative advertising, and statistics. A business that uses AI to draft product pages, competitive comparisons, or compliance claims and publishes without verifying the factual accuracy of those claims takes on the ACL risk for whatever the AI has generated.
The practical response is a verification workflow: all specific factual claims in AI-generated content are checked against a primary source before publication. Price claims, feature claims, regulatory status, statistics, and any statement about a named third party should be verified. The ACCC enforces the ACL and has indicated that its consumer protection mandate applies to AI-assisted conduct as it does to any other business conduct. ACCC guidance on misleading conduct is at accc.gov.au/business/anti-competitive-behaviour/false-and-misleading-conduct.
Copyright: An Unsettled Area
Copyright law in Australia is governed by the Copyright Act 1968. Two copyright questions arise with AI-generated content, and neither has been definitively resolved in Australian courts as of June 2026.
Does copyright subsist in AI-generated content? Under the Copyright Act, copyright generally subsists in original works that involve human authorship. The position on AI-generated works, where no human has expressly authored the content, is unsettled in Australia. The Australian Law Reform Commission and IP Australia have both considered this question. As of mid-2026, there is no clear legislative answer, and the position may ultimately be determined by case law or legislative reform. For most businesses, the practical implication is that AI-generated content may not enjoy strong copyright protection, which could affect competitive advantage for content-heavy businesses.
Can AI-generated content infringe existing copyright? AI language models are trained on large datasets that include copyright-protected material. In generating new content, AI may sometimes produce text that closely resembles existing works. If AI-generated content reproduces a substantial part of a copyright-protected work, this could constitute copyright infringement by the business that published it. In practice, this is most likely to be a risk for shorter, distinctive works (song lyrics, specific branded phrases, short articles) rather than for longer, more generic business content. Reviewing AI-generated content for unusually specific or distinctive passages that seem to closely match existing known material is a reasonable precaution.
IP Australia's guidance on AI and intellectual property is at ipaustralia.gov.au. This is a developing area of law globally, and Australian businesses with significant content operations should monitor developments through their legal advisers.
Defamation: Same Rules Apply
Defamation law in Australia is primarily governed by state and territory defamation legislation, which is substantially uniform following the 2005 model defamation provisions. A defamatory publication is one that would lower a person's reputation in the eyes of a reasonable member of the community, and that identifies a real individual (corporations generally cannot sue for defamation under Australian law, with limited exceptions).
If AI-generated content contains false statements of fact about a real, identifiable person that would damage their reputation, and a business publishes that content, the business is the publisher for defamation purposes. That AI wrote the content is not a defence. This is practically relevant in several business contexts: competitor comparisons that include statements about named individuals, review platforms that publish AI-summarised or AI-assisted review content, employee or job candidate assessment content, and any content about named individuals in a business context.
The standard defences to defamation (truth, honest opinion, qualified privilege, fair report) still apply, but they must be established for the specific content in question. The most straightforward way to manage defamation risk in AI-generated content is to verify any statements of fact about named real individuals before publication, and to be cautious about AI-generated negative assessments of individuals. For most business content about products, services, and general topics, defamation risk is low. For content that specifically discusses named individuals, it warrants review.
Professional Liability: Additional Layer for Regulated Professions
For businesses in regulated professions, including law, accounting, financial advice, medicine, and engineering, AI-generated content that provides professional advice or guidance creates an additional layer of risk beyond the ACL and defamation. Professional indemnity insurance, regulatory conduct standards (ASIC, APRA, AHPRA, the Legal Services Board), and client retainer terms all interact with the content-publishing activity.
A law firm that publishes AI-generated legal information that turns out to be wrong, a financial adviser whose website contains AI-generated investment guidance that misrepresents a product, or an accounting firm that emails AI-generated tax advice to clients all face professional liability exposure that sits alongside the ACL risk. This is not a reason to avoid AI in professional content entirely, but it does require that professional content reviewed by a qualified person before publication or distribution to clients. The general principle that professionals remain responsible for the advice and information they put their name to applies equally when AI assists in drafting it.
A Practical Content Review Approach
Managing the liability risks of AI-generated content does not require abandoning AI tools or adding extensive legal review to every piece of content. It requires calibrating the review effort to the risk level of the specific content. General, structural, or stylistic content, such as an email template, a job advertisement, or a team meeting summary, carries low risk and minimal review overhead. Specific factual claims, competitor comparisons, professional guidance, regulatory statements, and content about named individuals require a higher level of verification before publication.
The simplest version of a content review framework for AI-generated material involves four questions: Does this content make specific factual claims? (If yes, verify each one.) Does this content make statements about named real individuals or named competitors? (If yes, verify and consider legal review.) Does this content provide professional, medical, financial, or legal guidance? (If yes, professional review before publication.) And is this content for customer-facing use? (If yes, higher verification standard than internal content.) Our AI content verification checklist provides a practical step-by-step format for running this review.
Methodology (Real-World, Verified)
We test AI tools against real SMB workflows: the tasks a 20-person business actually uses AI for, not enterprise demos. Pricing is verified in AUD at the vendor's published rates or converted at current exchange rates. Compliance notes reference the legislation and regulatory guidance relevant to each article's scope. Tools are assessed for suitability by a business with no dedicated IT department.
Related reading: our can staff upload customer data to AI tools.
Who owns the copyright in AI-generated content?
In Australia, this is an unsettled question as of June 2026. The Copyright Act 1968 generally requires human authorship for copyright to subsist. Where AI generates content without meaningful human creative input, whether copyright subsists and in whom is unclear. The Australian Law Reform Commission and IP Australia have both considered this issue without a definitive legislative resolution. Practically, businesses that rely on AI-generated content as a competitive asset should be aware that the copyright protection for that content may be weaker than for human-authored content, and should monitor developments in this area through IP Australia and their legal advisers.
Can an AI tool be held liable for content it generates?
No, not under current Australian law. Legal liability attaches to legal persons: individuals and companies. AI tools are not legal persons and cannot be held liable. The business or individual that publishes AI-generated content is the relevant legal entity for ACL, defamation, and copyright purposes. This means the responsibility for reviewing and approving published content sits with the business, regardless of the tool used to produce it.
Does it help to add a disclaimer that content was AI-generated?
A disclaimer that content was AI-assisted does not protect against ACL liability if the content is misleading. The ACL's misleading conduct test is based on whether a reasonable person would be misled by the content, and a disclaimer about the writing method does not change whether the claims in the content are true or false. For copyright and defamation, the same applies: a disclaimer does not substitute for the content being accurate and not infringing. Disclaimers are useful for transparency and managing reader expectations about the nature of the content, but they are not a substitute for factual accuracy review.
Is AI-generated content treated differently by search engines?
Google's guidance as of 2026 is that it evaluates content based on its quality and usefulness, not the method of production. AI-generated content that is helpful, accurate, and original is treated the same as human-written content that meets those criteria. AI-generated content that is thin, repetitive, or produced at scale without meaningful quality oversight is treated the same way as low-quality human-produced content. From a search engine perspective, the relevant standard is content quality, not authorship method. The legal risks discussed in this guide are separate from search engine treatment.
The information in this article is general in nature. It reflects a summary of publicly available guidance and does not constitute legal, privacy, or professional advice. Your obligations will depend on your specific situation, jurisdiction, and business circumstances. Do not rely on this article as a substitute for qualified legal or professional advice.
The most practical starting point for managing AI content risk is a structured review workflow before publication. Our AI content verification checklist covers factual claims, competitor statements, regulatory content, and professional guidance in a step-by-step format.
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