Anthony Wong

The importance of a data governance strategy cannot be overstated - and the necessity for this to align with the cyber strategy is fundamental to ensure a solid cyber foundation is in place. If a cyber crisis hits, the need to understand what data is at risk must be addressed. #informationassets #datagovernance #cyber

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The DTA has released two new resources, emphasising the importance of AI training for the APS to ensure safe and confident use of AI tools. Our AI policy strongly recommends agencies implement fundamentals training within 6 months of the AI policy taking effect. Agencies should also develop role-specific specialist training, covering AI procurement, development, training, and deployment. To assist with this implementation, we have also released a fundamentals training module to deliver staff a basic understanding of:  - the applications and risks of AI  - applying relevant advice  - when it's suitable to use generative AI  - developing sound judgement with AI.  View more about our training: https://lnkd.in/ghQ68_BU

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Data privacy basics as presented by the Dept Privacy Commissioner Liz MacPherson. AI being a reoccuring topic at the NZ Government Summit. The idea that AI needs human oversight makes good sense.

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The Australian Government recently released the 'Voluntary AI Safety Standard', which provides practical guidance to help organizations deploy artificial intelligence responsibly. It is part of Australia’s broader Safe and Responsible AI agenda. The standard features 10 voluntary guardrails, emphasizing transparency, testing, human oversight, and accountability across the AI supply chain. This framework aims to mitigate AI risks while enabling organizations to maximize AI benefits. These guidelines also set expectations for future legislation, as the government explores mandatory regulations for high-risk AI applications. Link to the report below. #ai #policy

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This week the Office of the Australian Information Commissioner (OAIC) published two guides about how privacy laws apply to AI. The OAIC has confirmed it is best practice not to enter personal information in publicly available generative AI tools and that Privacy Impact Assessments should be performed before a new #AI system is introduced. We've summarised the key takeaways from the first guide to help Australian Privacy Principle Entities (APP Entities) deploy AI systems in a way that complies with their privacy obligations. Find out more: https://lnkd.in/gnTZZuPD Authors: Chelsea Gordon, Sam Burrett

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ASIC's experiment using AI to understand public comments on corporate regulation has exposed limitations in AI's ability to grasp complex issues. While AI-generated summaries weren't misleading, they lacked the depth and nuance identified by human reviewers. This highlights the current gap between AI's capabilities and the need for human expertise, particularly in regulatory environments. ASIC Chair Joe Longo emphasised the need for regulations to keep pace with the evolving world of AI. While AI offers potential benefits, it also raises concerns about consumer harm, particularly from unexplained algorithmic decisions. Existing regulations may not be sufficient to address these new risks. The Australian government's current approach to AI regulation is cautious, focusing on high-risk areas like finance and healthcare. ASIC is actively monitoring how companies are using AI and advocating for a balanced approach that encourages innovation while mitigating risks.

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Data and Digital Ministers have agreed on a set of nationally consistent approaches to the safe and ethical use of AI in government projects and programs https://lnkd.in/gSnmV8au #AI #gov #Aus

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🚨 Emerging Threats in Extended Reality (XR) Platforms 🚨 One of our research fellows from QUT (Queensland University of Technology), Dr Moya Kate, has worked with a team on XR platforms 🤖.  The team brings not only exciting possibilities but also exposes users to new attack surfaces, including embodied abuse and AI-driven attacks-at-scale. The paper explores how social harms like bullying, stalking, and assault could evolve in XR environments, impacting users both virtually and in the real world. It introduces an Inter-Reality Threat Model to investigate these risks, especially for vulnerable communities 🌏 . With AI advancing rapidly, we must act now to address these emerging threats. 🧑‍💻 To read further use the link: https://lnkd.in/dFaPU_pV 📝 Authors: Moya Kate Baldry, Jassim Happa, Anthony Steed, Simon Smith, Mashhuda Glencross. #XR #Cybersecurity #AI #DigitalSafety #reality #vulnerablecommunities #interreality #bullying #stalking #socialharms

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This October, the Office of Australian Information Commissioner (OAIC) released their ‘Guidance on privacy and the use of commercially available AI products’ (Guidance 1) and ‘Guidance on privacy and developing and training generative AI models’ (Guidance 2).    Guidance 1 clarifies that certain Australian Privacy Principles apply to AI systems that ‘are used to generate or infer personal information’ and the importance of personal information inputted into AI systems being used or disclosed ‘for the primary purpose for which it was collected’. Although not law, this guidance is a step towards recognising that AI generated content can be covered by the Privacy Act 1988 (Cth) (‘Privacy Act’) where an individual is reasonably identifiable under the current definition of personal information, regardless if it is deepfaked or hallucinated AI generated material.    Guidance 2 states that developers who use publicly available data nonetheless must comply with the Privacy Act if it contains personal and/or sensitive information, and if they collect such information for a primary purpose that is not for training an AI model, they need to have consent or establish the secondary use ‘would be reasonably expected by the individual’.    The importance of protecting personal and sensitive information in relation to the development and usage of AI is important for business. As Australia prepares for upcoming privacy reforms and potential AI regulations, Stirling & Rose can assist you in finding a lawful balance of AI innovation and privacy protection. Schellie-Jayne Price James Myint Natasha Blycha

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It can be useful to have a trusted dictionary on AI terms: I find it helps alignment given the wide disparity in AI-awareness?

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The benefits of opting for cloud services include scalability, flexibility and cost-effectiveness since users can pay for what they use without the need for extensive infrastructure investments. It is crucial that Victorian Government agencies uphold their responsibilities concerning public records when using cloud services. Learn more here: https://lnkd.in/gJ-VGdUG

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Understanding AI concepts is a core piece of working with and making decisions with AI. 💫 The Office of the Victorian Information Commissioner (OVIC) and the ARC Centre of Excellence for Automated Decision-Making and Society  (ADM+S) have launched 'GenAI Concepts', an online resource designed to explain fundamental concepts and terms related to Generative AI. 'GenAI Concepts' covers over 40 terms, unlocking the technical, operational, and regulatory aspects of AI systems. It is an accessible tool for individuals and organisations seeking to better understand the fundamental ideas, technologies, and risks behind Generative AI. The diagram below demonstrates the interconnections among fundamental technical terms in the field of artificial intelligence (AI). Great work by the ARC team. Thanks to Sam Burrett for the share. #AI #genAI The link is below.

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In response to the Federal Government's Voluntary AI Safety Standard, the Governance Institute of Australia and National AI Centre have developed a white paper aligning the 10 voluntary guardrails that promote safe, responsible and transparent AI with best-practice tips from industry experts. #AI ⬇️ Read more below: https://lnkd.in/gWrfn8mM

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With increasing regulatory expectations around cyber, this is a good reference source, particularly for organisations looking for low-cost controls. Key messages for me are to ensure you are protecting what matters most, and be prepared (the old "it's not if, but when" adage). #cybersecurity #governance #informationsecurity

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📕 Notifiable data breaches report by Office of the Australian Information Commissioner (OAIC) Australian reportable Data Breaches increase to 3.5 year high. The OAIC publishes statistical information about notifications received under the Notifiable Data Breaches (NDB) scheme every 6 months to help entities and the public understand privacy risks identified through the scheme. This report captures notifications received from 01 Jan to 30 Jun 2024. #dataprotection #databreach #Privacy #Australia

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Australia's Data and Digital Ministers have launched the National #AI Assurance Framework. This framework sets the foundation and practices for AI assurance, an important aspect of the safe and responsible use of AI by governments. #Standards are one of the five 'cornerstones of assurance', helping create consistency across the Commonwealth and aligning Australia to international AI standards, including the world's first AI Management System standard.   For an in-depth understanding of this standard, we've partnered with The Australian National University to develop an online training course: https://lnkd.in/gCxsmzi5   Find more details about the Framework here: https://lnkd.in/gtixsMMc

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🚀 Key takeaways from the Institute of Directors in New Zealand conference panel on #AI and #privacy, sponsored by Kordia. The panel was stacked! We heard from: Liz MacPherson, Deputy Privacy Commissioner, Office of the Privacy Commissioner, New Zealand Matt Ensor, Chair AI Forum NZ working group for LLMs, and Founder of FranklyAI Alastair Miller, Principal Consultant at Aura Information Security And a little bit from me also 😊 Key takeaways: Understand AI's potential, tie it into strategy, prioritize privacy safeguards, and invest in responsible AI training for your organization. #AI #Privacy #Innovation #IoDNZConf #Governance #Boards #responsibleAI

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A National Framework for the Assurance of Artificial Intelligence in government has been endorsed following the recent Data and Digital Ministers Meeting (DDMM) in June 2024. The IPC encourages NSW agencies to consider how the new Framework supports their existing responsibilities to protect privacy and transparency in the context of AI and automated decision-making. Agencies should specifically consider updating their Agency Information Guides (AIGs) to include descriptions of how this technology is being used. View the framework: https://bit.ly/3XCeP0h

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