When it comes to innovation, we normally see the development of new products and novel technical solutions for specific problems. That's what we call "parts innovation". When we talk about "systems innovation", it required a new outlook on the system these parts are involved in. So, how would innovation regarding the whole social and technical system embedded in the energy scenario look like? Find more resources about Systems Innovation right here in our hub: bit.ly/sisydneyhub
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🌟 The second of our three Spring Series Practice Lab, join us and enrich the discussion. 📅 Date: Tuesday, October 15 🕒 Time: 5:30 PM - 7:00 PM AEST / 7:30 PM - 9:00 PM NZST 🔗 Zoom Link: https://lnkd.in/gjPmkdg7 🆔 Meeting ID: 834 5009 7997 Or join us through Si Aus/NZ: https://bit.ly/4dQYQzD Join us for an engaging Systems Thinking Practice Lab on "The Intersection of Responsible AI and Mental Health" at our second event of the Spring Series. This is an opportunity to delve into interdisciplinary collaboration and recogise systemic challenges using the iceberg model. 🎯 PURPOSE: We aim to create a space for interdisciplinary perspectives to emerge, co-learn, dispel hidden assumptions, and foster a shared understanding. Engaging in meaningful dialogue is the first step toward holistic solutions. 🔍 CORE THEMES: - Interdisciplinary Collaboration with diverse perspectives - Systemic Challenge recognition via the iceberg model 🌍 Featured Diverse Voices: 1️⃣ MARIA SMOLAR – Innovation lead specialist at the Healthy Families Initiative in Christchurch 2️⃣ ELLIOT CHAPMAN – Systems designer emphasising reframing by noticing "system blindness" 3️⃣ DR SCOTT TERRY – Psychologist specialising in Marriage and Family therapy and developing a ChatGPT-powered tool for mental health and wellbeing 4️⃣ PEYMAN OBEIDY – A scientist specialising in Anatomy, Single-molecule Biophysics, and AI-driven medical imaging initiatives 🔬 We encourage participants from various disciplines and backgrounds to contribute to the conversation. Bring your voice and practice collaboration across disciplines as we tackle this complex and systemic challenge. Can't wait to see you there!
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I asked this question to ChatGPT 4o: "What is Responsible GenAI for Mental Health" This was the response: Responsible AI in mental health is an incredibly important and hopeful area! Here’s what it looks like and some exciting applications: 1. Ethical Data Use Mental health AI tools must prioritise patient confidentiality and informed consent. This means that data is collected transparently, and users know how their information is being used and protected! 2. Bias Mitigation It’s crucial to ensure that AI systems are trained on diverse datasets to avoid biases that could disadvantage certain populations. This helps in providing equitable support across different demographics. 3. User Empowerment AI in mental health should empower users by giving them insights and personalised support. For instance, chatbots and apps that offer cognitive behavioural therapy (CBT) strategies can help people understand their emotions better and take proactive steps for mental well-being. 4. Human Oversight Even with advanced AI, having human oversight is essential. Trained mental health professionals should be involved to evaluate AI outputs, ensuring that they are accurate, appropriate, and compassionate. 5. Crisis Intervention AI tools should be designed to recognise signs of crisis and provide immediate support or alert professionals when necessary. For example, some platforms can flag urgent situations and quickly connect users with mental health services. 6. Supporting Therapists AI can assist mental health professionals by providing diagnostic suggestions, tracking patient progress, and managing treatment plans, allowing therapists to focus more on patient interaction. 7. Continuous Feedback and Improvement Responsible AI in mental health involves gathering feedback from users and professionals to continuously improve the tools. This iterative process helps to refine algorithms and enhances user experience. 8. Community Engagement Involving the community in developing and implementing these tools ensures that they meet real needs and address concerns about privacy and inclusivity. By following these principles, we can create AI-driven solutions that are not only innovative but also respectful and effective in supporting mental health! Isn’t that an exciting direction for the future? 🌈✨ It seems ChatGPT is aware of what is required for Responsible AI to happen. What else should be considered? What hidden assumptions should be made explicit? Join us in the Si Hub👇 https://lnkd.in/gBpDJSVU #ResponsibleAI #MentalHealth #Innovation #EthicalAI #ChatGPT"
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Let's have an #openDialogue about the elephant in the room 🐘 AI is transforming industries, including mental health. But transformation doesn’t come without challenges. → Have you or someone you know used AI-powered mental health tools? → What excites or concerns you about AI being used in such a personal and sensitive space? Some points we are thinking on while pondering on the same very topic: → Accountability: If an AI system gives incorrect mental health advice, who is responsible? → Access: Will AI deepen the digital divide, or will it bring support to those who can’t access traditional care? → AI Bias: What safeguards are in place to prevent biased decision-making in AI mental health tools? We’re not here to sugarcoat - this conversation is critical, and we want to hear from you. What are your thoughts? #AiInHealthcare #MentalHealthAI #SiAuNZ #CommunityDiscussion #systemschange #innovation #Ai #mentalhealth
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Our environment is a complex ecosystem, with most sectors under increasing pressure to reduce their environmental impact and help preserve the world around us. We’re calling all Australia & New Zealand Si Network members to share your greatest (regional) environmental challenge; – What is it in your world, or your work that needs innovating? – Is it reducing carbon emissions, reducing waste, or something wickeder? – Do you have an environmental innovation underway that you’d like to test with a group of passionate practitioners? – Have you seen a poignant discussion (article) in our region that you think needs attention? Our third and final Spring Series event in November seeks to explore how we might address a real-life environmental problem. We’d welcome all expressions of interest where we might explore yours, or one you're close to. Either jot a few thoughts, or link, in the comments below – or drop Kate or any of the Au/NZ Si Hub core team your thinking. #AuNZ #ComplexityScience #EcoSystemsBuilding #Ethnography #EventPlanning #HCD #HumanCentredDesign #Mapping #SystemsInnovation #SiHub #SystemsEnquiry #SystemsThinking #TransitionDesign #Sustainability #SystemsModelling #SystemsTheory #SystemsLeadership #ValueEntrepreneurship #ValueNetworks #WickedProblems #Regeneration #RegenerativeSystems #RegenerativeInnovation #Environment #ClimateChange #ParisAgreement #SDG #Sustainability #Circularity
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Great little systems definition piece to finish your Friday! https://lnkd.in/g-yCSs8g
Multidisciplinary Innovator | Bridging Human as a system, Human made systems, and Natural given life systems | By increasing the compatibility and interoperability of these systems
Incremental improvements miss the bigger picture 🌐. Real innovation comes from changing the underlying structures of systems—rethinking how we relate to one another, interact, and work together. In this relational worldview, we need a new vocabulary suited for a more dynamic, and adaptive way of thinking. When our traditional language around productivity, efficiency, and hierarchy no longer serves us in a world where collaboration is the key to the success of the whole. Then terms like ecosystems, feedback loops, and systems sensing remind us that everything is interdependent. Therefore, we need words that capture the nuances of collective intelligence, emergent change, and shared purpose. While creating new words might be the aim, let’s begin with some fundamental ones ↓ #systemsterminology
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A snapshot that demands our attention and a systems-driven approach. 💡Australia: more than 2 in 5 Australians (42.9 %) aged 16–85 years have experienced a mental disorder in their lifetime (Source: Australian Bureau of Statistics) 💡New Zealand: 47%, almost half of the people in New Zealand will experience mental distress or illness in their lifetime (Source: Health New Zealand | Te Whatu Ora) Access to mental health services is uneven, with rural and indigenous communities often underserved. Can innovative technologies like #responsibleAI help address these issues? What potential do you see? What worries you? Share your thoughts in the comments below. 👇
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Technology and humans must collaborate for holistic solutions..
Technology alone is never enough for true productivity
mckinsey.com
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Last week we hosted the first of three events in our 'Spring Series'. We were delighted to have some great real-life systems practice experiences shared from five valued Members. Thank you to Robbie Slape, Steven Smith, Rocío R., Jim Scully and our very own Martin Grant. Across five diverse examples, sectors, types of work and applied systems innovation, there were some great insights. These themes often applied to more than one example, and are great take-aways to apply to your own practice. Check-out the 7x Key Lessons from our 'Show & Tell-ers', with some explanatory notes on each point in this link: https://lnkd.in/gXVDeFfm Thanks again and see you at our second 'Spring Series Practice Lab: Responsible AI in mental health' event on 15th October – register now! https://lnkd.in/gBTUtp5Q #AuNZ #ComplexityScience #EcoSystemsBuilding #Ethnography, #EventPlanning #HCD #HumanCentredDesign #Mapping #SystemsInnovation #SiHub #SystemsEnquiry #SystemsThinking #TransitionDesign #Sustainability #SystemsModelling #SystemsTheory #SystemsLeadership #ValueEntrepreneurship #ValueNetworks #WickedProblems
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Big news for sustainability champions! 🌍 The new ISO 59000 series for the Circular Economy is here, and it’s a game-changer for businesses looking to transition from linear to circular models. These new global standards provide the tools, frameworks, and metrics we've been waiting for to measure and implement circularity with precision. Time to embrace systems thinking, design smarter, and make sustainability a business reality! Our 7 key takeaways: → Three New Standards Released: The ISO 59000 series includes ISO 59004 (terminology and guidance), ISO 59010 (business model transition), and ISO 59020 (circularity measurement). → Foundation for Circularity: These standards create a universal framework for businesses transitioning from linear to circular economy models, ensuring consistency and scientific rigor. → Systems Thinking & Design: A key feature is the emphasis on systems thinking and design, essential for implementing sustainable circular economy practices. → Clear Terminology: ISO 59004 establishes clear circular economy principles and terminology to help businesses develop consistent approaches. → Guidance for Business Model Transition: ISO 59010 provides a roadmap for businesses to transition to circular economy models by focusing on goals, value networks, and continuous improvement. → Measurement of Circularity: ISO 59020 details the methods for measuring and evaluating circularity performance, focusing on resource inflows and outflows. → Critical for Business Sustainability: These standards provide a harmonized, measurable approach, enabling businesses to effectively enact and report on circular economy initiatives. Thank you Leyla Acaroglu for the thorough summary 🙏 How would the new standards help us level up current business practices? Drop your thoughts below! 👇 #CircularEconomy #Sustainability #ISO59000 #SystemsThinking #BusinessTransformation #Circularity
Quick Guide to the New ISO Circular Economy Standards
Leyla Acaroglu on LinkedIn
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Hi all, If you weren’t yet aware, LinkedIn has auto-opted everyone into leveraging your content and activity for their GenAi model training, WITHOUT collecting explicit and informed consent before that! If you’re also not OK with that, here’s the opt-out link to the relevant settings page: https://lnkd.in/g4WQyrnD
Hi all. If you use LinkedIn at all, please navigate to your settings and explicitly express your consent under "Use my data for training content creation AI models." An opt-out option is now available. This is enabled by default as what is to me a new dark design pattern. I speak for myself here, not for the company (I assume that should be obvious). But LinkedIn and it's affiliates should not own any piece of writing you craft, portfolio piece you showcase, or unique form of expression you choose to leverage on its platform without your explicit and informed consent. Up until now, they have done so anyway. Step in the right direction though this may be, it is still a half-step, deployed without notice, which normalizes a dangerous schema of consumer consent and bad-faith service provision. EDIT: EU/EEA/Switzerland is not affected at this time (but I encourage you to confirm for yourselves individually). EDIT2: Direct link to relevant settings page: https://lnkd.in/g4WQyrnD EDIT3: LinkedIn has released an update indicating their intention to update their ToS to take effect in November that includes language addressing this feature. NOTE that this update does not include any indication that TRAINING will not take effect until November. https://lnkd.in/gQy2PcXH EDIT4: LinkedIn has just suspended use of any UK member data for training after a regulator raised concerns: https://lnkd.in/gRq99ZUF #degenerativeai #darkpatterns #createdontscrape #aiethics #dataethics
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