{"id":586357,"date":"2026-08-31T23:52:12","date_gmt":"2026-08-31T23:52:12","guid":{"rendered":"https:\/\/www.newsbeep.com\/nz\/586357\/"},"modified":"2026-08-31T23:52:12","modified_gmt":"2026-08-31T23:52:12","slug":"scary-how-misinformation-and-ai-hallucinations-are-infiltrating-australias-parliament-australian-politics","status":"publish","type":"post","link":"https:\/\/www.newsbeep.com\/nz\/586357\/","title":{"rendered":"\u2018Scary\u2019: how misinformation and AI hallucinations are infiltrating Australia\u2019s parliament | Australian politics"},"content":{"rendered":"<p class=\"dcr-1s160rg\">Australia\u2019s government inquiry process is supposed to help parliament make better decisions, hearing from experts and constituents alike. But Guardian Australia can reveal that the system is being flooded with AI-generated material, which is inventing studies and attributing nonexistent research to real academics and authors.<\/p>\n<p class=\"dcr-1s160rg\">In some cases, committee reports have cited submissions in which the majority of sources appear to be AI-generated \u201challucinations\u201d, when large language models (LLMs) invent content that looks real but doesn\u2019t actually exist.<\/p>\n<p>Q&amp;AWhat is an AI hallucination?Show<\/p>\n<p>An AI hallucination takes place when an LLM like ChatGPT or Claude outputs text that is plausible but incorrect, or confidently generates information that appears relevant but is actually unrelated.<\/p>\n<p>This happens because these AI systems use complex statistics to figure out the text they generate and they have no innate ability to distinguish between correct and incorrect content. They simply predict the next most likely bit of text based on their training data, with a certain degree of creativity or randomness involved.<\/p>\n<p>Hallucinations can become more common when the AI is asked to generate content on topics that are not well covered in its training data.<\/p>\n<p>These hallucinations are not bugs and although the frequency can be reduced by increasing the amount of training data or adding web-search results and other information, they are <a href=\"https:\/\/www.ibm.com\/think\/topics\/ai-hallucinations\" rel=\"nofollow noopener\" target=\"_blank\">an inherent feature of LLMs<\/a> and <a href=\"https:\/\/www.computerworld.com\/article\/4059383\/openai-admits-ai-hallucinations-are-mathematically-inevitable-not-just-engineering-flaws.html\" rel=\"nofollow noopener\" target=\"_blank\">can never be fully eliminated<\/a>.<\/p>\n<p>Thank you for your feedback.<\/p>\n<p class=\"dcr-1s160rg\">If the phenomenon continues, there is a significant risk of parliamentarians \u201cmaking decisions based on evidence that doesn\u2019t exist\u201d, says Christian Downie, a professor in the Australian National University\u2019s school of regulation and global governance.<\/p>\n<p class=\"dcr-1s160rg\">The situation is made more confusing by AI services including <a href=\"https:\/\/www.theguardian.com\/technology\/google\" data-link-name=\"in body link\" data-component=\"auto-linked-tag\" rel=\"nofollow noopener\" target=\"_blank\">Google<\/a> search. Previously, looking up an invented reference might produce results that would indicate the reference did not exist. Now Google\u2019s AI summary will sometimes create summaries of a fake reference as though it were genuine.<\/p>\n<p class=\"dcr-1s160rg\">In some instances, Google\u2019s AI summary and <a href=\"https:\/\/www.theguardian.com\/technology\/chatgpt\" data-link-name=\"in body link\" data-component=\"auto-linked-tag\" rel=\"nofollow noopener\" target=\"_blank\">ChatGPT<\/a> will also cite the inquiry submission with the fake reference as a source, creating an ongoing cycle of misinformation.<\/p>\n<p class=\"dcr-1s160rg\">One document submitted to an inquiry into family violence and suicide included a hallucinated reference attributed to Divna Haslam, a University of Queensland associate professor and clinical psychologist, and misstated her team\u2019s research findings.<\/p>\n<p class=\"dcr-1s160rg\">Haslam, who researches child and family adversity and maltreatment, says the reference was \u201cscary\u201d because it looked so real that someone taking a cursory look could be convinced. Google\u2019s AI summary summarised the reference as if it were a real paper.<\/p>\n<p><a data-link-name=\"standard link button Primary\" data-spacefinder-role=\"inline\" data-ignore=\"global-link-styling\" href=\"https:\/\/www.theguardian.com\/email-newsletters?CMP=copyembed&amp;CMP=emailbutton\" class=\"dcr-rh233e\" rel=\"nofollow noopener\" target=\"_blank\">Sign up for the Breaking News Australia email<\/a><\/p>\n<p class=\"dcr-1s160rg\">\u201cIt\u2019s very frustrating to \u2026 to have invested time, money, effort, expertise in rigorous research,\u201d she says. \u201cThen to see something that\u2019s inaccurate and inappropriately attributed anyway is really concerning.\u201d<\/p>\n<p class=\"dcr-1s160rg\">The author of the submission, Drilldown Reports, told Guardian Australia it used AI in its research process and had identified the errors in its follow-up submission \u2013 but the deadline had passed to have them corrected.<\/p>\n<p class=\"dcr-1s160rg\">\u201cWe do strongly believe in the human factor and that it should be a vital part of the full quality review process,\u201d a spokesperson said. \u201cUnfortunately, the human factor also lets us down when uploading the correct document.<\/p>\n<p class=\"dcr-1s160rg\">\u201cI get that you feel you have a juicy article to add the AI fear machine but this was a human error, not AI.\u201d<\/p>\n<p><a data-name=\"placeholder\" href=\"https:\/\/interactive.guim.co.uk\/embed\/2026\/09\/cycle-misinfo-photos_ai2html_output\" class=\"dcr-olkhl1\" rel=\"nofollow noopener\" target=\"_blank\">The cycle of misinformation: AI search summaries cite AI errors, making factchecking difficult<\/a><\/p>\n<p class=\"dcr-1s160rg\">The chair of the standing committee on social policy and legal affairs, which oversaw the inquiry, said all committees received a range of materials of varying quality and positions: \u201cIt is the job of the committee to both accept the evidence offered on face value but then also interrogate it through the inquiry process.\u201d<\/p>\n<p class=\"dcr-1s160rg\">Haslam says not only does this phenomenon risk devaluing legitimate research but there are serious risks if misleading information makes its way into government policy. \u201cParticularly in a [domestic violence] space,\u201d she says. \u201cWe just can\u2019t risk that.\u201d<\/p>\n<p>Dozens of submissions contained errors<\/p>\n<p class=\"dcr-1s160rg\">The paper was just one of dozens the Guardian identified by building a computer program that extracted references from all inquiry submissions made to the current parliament and checked those references against several online academic databases.<\/p>\n<p class=\"dcr-1s160rg\">Documents that were flagged as having a high proportion of references not matching anything were then manually checked.<\/p>\n<p>Q&amp;AHow we built an &#8216;AI detector&#8217;Show<\/p>\n<p>All current commercial services for AI detection have one  important limitation \u2013 they get it wrong sometimes. A \u201cfalse positive\u201d detection can lead people to be falsely accused of using AI services such as ChatGPT or Claude.<\/p>\n<p>For this reason, we took a different approach. Analysis of <a href=\"https:\/\/www.afr.com\/companies\/professional-services\/academics-raise-alarm-over-suspected-ai-use-in-deloitte-report-20250822-p5mp0f\" rel=\"nofollow noopener\" target=\"_blank\">reports produced with AI<\/a>\u00a0and <a href=\"https:\/\/mental.jmir.org\/2025\/1\/e80371\/\" rel=\"nofollow noopener\" target=\"_blank\">studies on AI-generated journal articles<\/a>\u00a0showed that LLMs can often produce references that are incorrect in some way, from getting pages, titles and authors wrong to making up details entirely.<\/p>\n<p>We built a custom program that extracts references from documents and then searches those references in <a href=\"https:\/\/www.crossref.org\/\" rel=\"nofollow noopener\" target=\"_blank\">CrossRef<\/a> (a database of academic papers and books) and  Google Scholar. We also programmatically checked digital object identifiers (<a href=\"https:\/\/en.wikipedia.org\/wiki\/Digital_object_identifier\" rel=\"nofollow noopener\" target=\"_blank\">DOIs<\/a>) if they were present, to see if they resolved to a reachable URL.<\/p>\n<p>Documents that had 20% or more references that were unable to be matched were then checked manually and a large number of submissions with incorrect references were checked with the original authors to verify our method.<\/p>\n<p>It&#8217;s important to note that this method can only be used to point towards AI usage in documents with references and so will always be an underestimate of actual AI usage.<\/p>\n<p>All links within documents were also checked for ChatGPT metadata tags. These are tags added by ChatGPT when it provides links to users and can persist when copied into a document. ChatGPT tags do not necessarily indicate that someone used ChatGPT directly, as they could be copying the text from a third-party article or similar.<\/p>\n<p>Thank you for your feedback.<\/p>\n<p class=\"dcr-1s160rg\">Using these methods, the Guardian found at least 39 submissions to political inquiries containing what appear to be hallucinated references.<\/p>\n<p class=\"dcr-1s160rg\">These findings represent a conservative estimate of the amount of AI-generated material in political processes, as it only identifies submissions with incorrect citations. This approach would not find documents that used AI to generate text without any references, for example.<\/p>\n<p class=\"dcr-1s160rg\">In another indication of how often LLMs are being used, more than 100 papers included ChatGPT url tags in reference links, which are automatically added by the platform in its results.<\/p>\n<p class=\"dcr-1s160rg\">The submissions containing AI-generated material range from documents with a small number of incorrect citations to submissions in which every reference cited does not exist. They were authored by individuals and organisations across the political spectrum.<\/p>\n<p class=\"dcr-1s160rg\">When Guardian Australia contacted the people and organisations responsible, many were unaware AI could get things wrong in this way or were aware of the potential for errors but had missed them before submitting the document.<\/p>\n<p><a data-ignore=\"global-link-styling\" href=\"#EmailSignup-skip-link-25\" class=\"dcr-76akua\">skip past newsletter promotion<\/a>Free newsletter | When needed<\/p>\n<p class=\"dcr-vf9hps\">Sign up to Breaking News Australia<\/p>\n<p class=\"dcr-1r7my33\">Get the most important news as it breaks<\/p>\n<p><img src=\"https:\/\/www.newsbeep.com\/nz\/wp-content\/uploads\/2026\/08\/1788220332_983_2998.jpg\" alt=\"\" loading=\"lazy\" decoding=\"async\" class=\"dcr-xiq31o\"\/><\/p>\n<p id=\"EmailSignup-skip-link-25\" tabindex=\"0\" aria-label=\"after newsletter promotion\" role=\"note\" class=\"dcr-76akua\">after newsletter promotion<\/p>\n<p class=\"dcr-1s160rg\">How governments will grapple with AI-generated errors in material intended to influence policy, or whether they have the tools and resources to identify them, is an emerging question. Last year the consultancy giant Deloitte <a href=\"https:\/\/www.theguardian.com\/australia-news\/2025\/oct\/06\/deloitte-to-pay-money-back-to-albanese-government-after-using-ai-in-440000-report\" data-link-name=\"in body link\" rel=\"nofollow noopener\" target=\"_blank\">issued a partial refund<\/a> to the federal government after it was revealed that AI tools had included fake references and even a fake court reference in a $440,000 report.<\/p>\n<p class=\"dcr-1s160rg\">Downie says if public documents like government submissions or even court judgments are found to contain fake material or fake citations, the implications could go beyond bad decisions.<\/p>\n<p class=\"dcr-1s160rg\">\u201cWe\u2019re also starting to undermine the public\u2019s trust and confidence in the types of institutions that underpin our democracy,\u201d he says.<\/p>\n<p>\u2018A first draft, not a final source\u2019<\/p>\n<p class=\"dcr-1s160rg\">While misleading claims or invented citations are not a new problem, greater access to LLMs has allowed this to grow at unprecedented levels.<\/p>\n<p class=\"dcr-1s160rg\">One submission to a housing inequity inquiry this year included what appears to be references to work by Nicole Gurran, an academic at the University of Sydney, that does not exist.<\/p>\n<p class=\"dcr-1s160rg\">Transparency and contestability are a vital part of the research and peer-review process, which is why citations are used as evidence to back up claims, says Gurran, a professor of urban and regional planning.<\/p>\n<p class=\"dcr-1s160rg\">\u201cFake citations, even if an accidental \u2018collage\u2019 where the claim is correct but the chain of reference to evidence is broken, undermines that,\u201d she says.<\/p>\n<p class=\"dcr-1s160rg\">Another paper submitted last year to a Senate inquiry into climate change misinformation by the National Rational Energy Network said the Guardian was \u201cleft-leaning, activist-oriented\u201d \u2013 and appeared to attribute that claim in part to an \u201carticle\u201d by Margaret Simons, a journalist and academic, in a top journal.<\/p>\n<p class=\"dcr-1s160rg\">But Simons \u2013 who is on the board of the Guardian\u2019s owner, the Scott Trust \u2013 never wrote such a paper.<\/p>\n<p class=\"dcr-1s160rg\">The endnote so accurately replicated other references that Simons briefly wondered whether it really existed. \u201cEven though I know I didn\u2019t write this, I did have that moment of self-questioning,\u201d she says.<\/p>\n<p class=\"dcr-1s160rg\">NREN did not respond to a request for comment.<\/p>\n<p class=\"dcr-1s160rg\">Senate advice for inquiry submissions <a href=\"https:\/\/www.aph.gov.au\/Parliamentary_Business\/Committees\/Senate\/How_to_make_a_submission\" data-link-name=\"in body link\" rel=\"nofollow noopener\" target=\"_blank\">warns that<\/a> use of AI can present risks to the quality of information and that accuracy is the responsibility of the submitter.<\/p>\n<p class=\"dcr-1s160rg\">Downie says the inquiry process needs to remain as open as possible but new guidelines may be needed to \u201cencourage truthfulness\u201d.<\/p>\n<p class=\"dcr-1s160rg\">\u201cWhether it\u2019s climate change, immigration, health, we want our elected officials to be making decisions based on real information and real evidence not on fake citations and fake claims,\u201d he says.<\/p>\n<p class=\"dcr-1s160rg\">Guardian Australia asked OpenAI and Google how the companies were working to combat their role in the spread of misinformation.<\/p>\n<p class=\"dcr-1s160rg\">OpenAI said addressing hallucinations was an ongoing area of research and that users should \u201cuse ChatGPT as a first draft, not a final source\u201d, ensuring that they verified quotes, data or references to external documents.<\/p>\n<p class=\"dcr-1s160rg\">A Google spokesperson said AI Overviews operated \u201clike traditional Search\u201d in that they aimed to match content from the web to the words in the query: \u201cAI Overviews \u2013 like traditional blue link results \u2013 will find and surface the web pages that include those terms.\u201d<\/p>\n","protected":false},"excerpt":{"rendered":"Australia\u2019s government inquiry process is supposed to help parliament make better decisions, hearing from experts and constituents 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