[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"doc-seo-359761-105":3,"detail-sidebar-cat-1-en-105":81,"doc-detail-359761-en":127},{"code":4,"msg":5,"data":6},0,"ok",{"site_id":7,"language":8,"slug":9,"title":10,"keywords":11,"description":12,"schema_data":13,"social_meta":74,"head_meta":76,"extra_data":78,"updated_unix":80},105,"en","large-language-models-wa-public-sector-guidance","Large Language Models - WA Public Sector Guidance","","Guidance for WA public sector organisations and personnel on the safe, responsible and ethical use of Large Language Models (LLMs). It defines generative AI and LLMs, explains who the guidance applies to, and outlines key risks including ethics and fairness, legal and privacy concerns, data integrity and accuracy issues, and protections for information privacy. It highlights intellectual property and compliance, requires self-assessment against the WA Government AI Assurance Framework, and provides DOs and DON’Ts plus use-case examples for practical application.",{"@graph":14,"@context":73},[15,34,56],{"@type":16,"itemListElement":17},"BreadcrumbList",[18,23,27,31],{"item":19,"name":20,"@type":21,"position":22},"https://docshare.wps.com","Home","ListItem",1,{"item":24,"name":25,"@type":21,"position":26},"https://docshare.wps.com/template/","Template",2,{"item":28,"name":29,"@type":21,"position":30},"https://docshare.wps.com/template/presentations/","Presentations",3,{"item":32,"name":10,"@type":21,"position":33},"https://docshare.wps.com/template/large-language-models-wa-public-sector-guidance/359761/",4,{"url":32,"name":10,"@type":35,"image":36,"author":41,"headline":10,"publisher":44,"fileFormat":47,"inLanguage":8,"description":12,"dateModified":48,"datePublished":49,"encodingFormat":47,"isAccessibleForFree":50,"interactionStatistic":51},"DigitalDocument",{"url":37,"@type":38,"width":39,"height":40},"https://docshare.wps.com/thumbnails/large-language-models-wa-public-sector-guidance/359761.png","ImageObject",442,249,{"name":42,"@type":43},"Jacob","Person",{"url":19,"name":45,"@type":46},"DocShare","Organization","application/pdf","2026-10-27","2026-09-23",true,{"@type":52,"interactionType":53,"userInteractionCount":55},"InteractionCounter",{"@type":54},"ViewAction",9,{"@type":57,"mainEntity":58},"FAQPage",[59,65,69],{"name":60,"@type":61,"acceptedAnswer":62},"What is a large language model (LLM) in this guidance?","Question",{"text":63,"@type":64},"An LLM is a type of generative AI specialised in generating human-like text in response to prompts.","Answer",{"name":66,"@type":61,"acceptedAnswer":67},"Who does the guidance apply to?",{"text":68,"@type":64},"It applies to all WA Government organisations and employees, and to non-government suppliers and personnel accessing WA Government information and resources.",{"name":70,"@type":61,"acceptedAnswer":71},"What are key risks when using LLMs?",{"text":72,"@type":64},"Risks include inaccurate or biased outputs from training data, ethics and fairness issues, legal and privacy concerns, data leakage through third parties or on-training use, and intellectual property and copyright considerations.","https://schema.org",{"og:url":32,"og:type":75,"og:title":10,"og:site_name":45,"og:description":12},"article",{"robots":77,"canonical":32},"index,follow",{"doc_id":79,"site_id":7},359761,1791721153,{"code":4,"msg":82,"data":83},"success",[84,88,93,98,103,108,113,118,123],{"id":85,"doc_module":22,"doc_module_name":25,"category_name":29,"show_sort_weight":86,"slug":87},11,90,"presentations",{"id":89,"doc_module":22,"doc_module_name":25,"category_name":90,"show_sort_weight":91,"slug":92},12,"Resumes",80,"resumes",{"id":94,"doc_module":22,"doc_module_name":25,"category_name":95,"show_sort_weight":96,"slug":97},14,"Invoices",70,"invoices",{"id":99,"doc_module":22,"doc_module_name":25,"category_name":100,"show_sort_weight":101,"slug":102},15,"Posters",60,"posters",{"id":104,"doc_module":22,"doc_module_name":25,"category_name":105,"show_sort_weight":106,"slug":107},16,"Social Media",50,"social-media",{"id":109,"doc_module":22,"doc_module_name":25,"category_name":110,"show_sort_weight":111,"slug":112},17,"Forms",40,"forms",{"id":114,"doc_module":22,"doc_module_name":25,"category_name":115,"show_sort_weight":116,"slug":117},18,"Letters",30,"letters",{"id":119,"doc_module":22,"doc_module_name":25,"category_name":120,"show_sort_weight":121,"slug":122},21,"Paper Templates",5,"papers-templates",{"id":124,"doc_module":22,"doc_module_name":25,"category_name":125,"show_sort_weight":4,"slug":126},158,"General","general-158",{"code":4,"msg":82,"data":128},{"doc_id":79,"user_id":129,"nickname":42,"user_avatar":130,"doc_module":22,"category_id":85,"category_name":29,"doc_title":10,"doc_description":12,"doc_content":131,"file_id":132,"file_url":133,"file_type":134,"file_size":135,"view_count":55,"is_deleted":4,"is_public":22,"is_downloadable":22,"audit_status":22,"page_count":121,"language":136,"language_code":8,"site_id":7,"html_lang":8,"table_of_contents":137,"faqs":138,"seo_title":139,"seo_description":12,"update_tm":140,"read_time":26},962084931830,"https://ap-avatar.wpscdn.com/davatar_a8503ba1806abce46bf441b54a3ca4cd","Department of  \nthe Premier and Cabinet  \nLarge Language Models  \nWA Public Sector Guidance  \nWhat are Large Language Models1?  \nGenerative AI models generate novel content such as text, images, audio and code in response to prompts.  \nA large language model (LLM) is a type of generative AI that specialises in the generation of human-like text.  \nWho is this guidance applicable to?  \n• All WA Government organisations and employees operating on behalf of the agencies.  \n• Non-government suppliers and personnel that access WA Government information and resources.  \nWhile this guidance is intended to be applied to ‘open’ generative LLMs, in which data may be stored by third parties, and prompts used to on-train the model, it is still relevant to private LLMs where data does not leave the tenant boundary.  \nWhat are some of the possible risks associated with using Large Language Models?  \nSome of the risks associated with LLMs relate to ethics and fairness, legal and privacy, data integrity and accuracy and protections of information privacy.  \nLLMs are trained on large amounts of data. Depending on the quality of this data, LLMs can produce inaccurate and biased or discriminatory results.  \nInputs into models may be accessible to third parties or used to on-train the model which could result in data leakage.  \nIntellectual property and copyright of outputs should be considered, and agencies must ensure compliance with relevant policies and legislation.  \nWhen you are procuring or using an AI solution for the first time at your agency, or for a different purpose, you must undertake a self-assessment against the WA Government AI Assurance Framework.  \n1 The definitions of ‘generative AI’ and ‘a large language model’(LLM) are based on the definitions in Bell, G., Burgess, J., Thomas, J., and Sadiq, S. (2023, March 24) . Rapid Response Information Report: Generative AI-language models (LLMs) and multimodal foundation models (MFMs) .  \nLarge Language Models  \n2  \nDOs and DON’Ts for the safe, responsible and ethical use of LLMs in the WA Public Sector:  \n\n| Do | Don’t |\n| --- | --- |\n| Assume that inputs into online LLM AI tools will automatically be considered as available in the public domain. | Enter any personal information about any person. |\n| Remain responsible and accountable foryour work, including critically assessing all AI generated outputs and validating quality and accuracy with other sources. | Enter any health information about any person. |\n| Thoroughly research and source reliable | Enter inputs or use outputs in a way that may |\n| references for content where necessary. | breach another person’s intellectual property rights. |\n| Meet all your existing employment obligations- | Use these tools for any query that is complex |\n| including in relation to handling official | or sensitive, or where local context and nuance |\n| information, privacy, security, human rights, anti-discrimination, administrative and other laws | is critical. |\n| Where required, attribute content that has resulted from the use of these tools | Ask these tools to answer a question you don’t already know the answer to or cannot validate the answer to – you need the knowledge to decide whether it can be trusted or contains bias. |\n| Regularly monitor and review uses of | Use these tools to replace your own research, |\n| these tools to ensure they are being used | analysis and content development or embed |\n| responsibly ethically, safely, and according to | them into your work in a way that means it |\n| law and government policy (including the WA Government AI Policy) . | cannot be done without them. |\n| Opt out of the LLMs retaining and using your data for training purposes, if possible. | ‘Copy and paste’ sections of AI-generated content into your work. If you do copy and paste any AI generated content, consider what your obligations are in relation to attribution and intellectual property. |\n| Consider that third party services and vendors may s","cbCaijuQzP0erY7p","https://ap.wps.com/l/cbCaijuQzP0erY7p","pdf",512047,"English","# What are Large Language Models?\n## Generative AI and LLM definitions\n# Who is this guidance applicable to?\n## Open vs private LLMs\n# Possible risks associated with using Large Language Models\n## Ethics and fairness, legal and privacy, accuracy\n# Self-assessment and compliance\n## WA Government AI Assurance Framework\n# DOs and DON’Ts for safe, responsible and ethical use of LLMs\n## Public domain assumptions and input restrictions\n# Use case examples\n## Project plan prompts and technical tender support\n# Review and contact","[{\"question\":\"What is a large language model (LLM) in this guidance?\",\"answer\":\"An LLM is a type of generative AI specialised in generating human-like text in response to prompts.\"},{\"question\":\"Who does the guidance apply to?\",\"answer\":\"It applies to all WA Government organisations and employees, and to non-government suppliers and personnel accessing WA Government information and resources.\"},{\"question\":\"What are key risks when using LLMs?\",\"answer\":\"Risks include inaccurate or biased outputs from training data, ethics and fairness issues, legal and privacy concerns, data leakage through third parties or on-training use, and intellectual property and copyright considerations.\"}]","Large Language Models - WA Public Sector Guidance | PDF",1790137729]