Nina Keim’s Post

Last year I had the privilege of attending a roundtable hosted by Minister Ed Husic MP to discuss the future of AI in Australia. It’s no surprise that I’m a big advocate for the use of artificial intelligence across financial services, and our belief when building Rich Data Co was to create a business to better enable sectors to use AI to enhance their success. Yes, AI has excellent benefits, but as with any new and fast paced technology, it’s important we understand the challenges involved so we can promote a safe understanding of responsible AI. These were some of the main points I made during the roundtables last year.   The Australian Government have today released their response to the Safe and Responsible AI in Australia consultation, and it’s encouraging to see that the Government have made clear there is an important role that AI will play moving forward. Their “guardrail” approach is something we discussed during the roundtable, and it’s a method that will be great to help support continued innovation and growth within AI in Australia, while ensuring responsible AI. I was especially interested in noting the government plans to improve transparency around model design and data around AI applications. This is one of the fundamental pillars of our AI decisioning platform at RDC as we seek to enable better interpretability of the data, but also of its explainability – ultimately improving the transparency of decision making.   What do you think of the Government’s plans around AI? Let me know in the comments! #ArtificialIntelligence #MachineLearning #FutureOfCredit #LinkedInNews Department of Industry, Science and Resources

🤖 𝗪𝗵𝘆 𝗧𝗵𝗲𝗿𝗲'𝘀 𝗡𝗼 𝗥𝘂𝘀𝗵 𝗳𝗼𝗿 𝗟𝗮𝘄𝘀 𝘁𝗼 𝗥𝗲𝗴𝘂𝗹𝗮𝘁𝗲 𝗔𝗜 🚦 As AI continues to advance at a rapid pace, many are calling for immediate laws and regulations. But is rushing into legislation the right approach? Let's consider a few points: 🌍 𝗔𝗜 𝗶𝘀 𝗮 𝗴𝗹𝗼𝗯𝗮𝗹 𝗽𝗵𝗲𝗻𝗼𝗺𝗲𝗻𝗼𝗻 AI development and deployment span across countries and jurisdictions. 🅴🆇🅰🅼🅿🅻🅴 : A U.S.-based company might use AI models trained on data from Europe and Asia. Inconsistent or conflicting laws could hinder innovation and collaboration on a global scale. 🌱 𝗧𝗵𝗲 𝗳𝗶𝗲𝗹𝗱 𝗶𝘀 𝘀𝘁𝗶𝗹𝗹 𝗲𝘃𝗼𝗹𝘃𝗶𝗻𝗴 AI is a relatively young and dynamic field, with new breakthroughs and applications emerging constantly. 🅴🆇🅰🅼🅿🅻🅴 : Just a few years ago, AI-generated art was rudimentary at best. Now, tools like DALL-E and Midjourney can create stunning, photorealistic images. Laws made today might quickly become outdated or irrelevant. ⚖️ 𝗕𝗮𝗹𝗮𝗻𝗰𝗶𝗻𝗴 𝗶𝗻𝗻𝗼𝘃𝗮𝘁𝗶𝗼𝗻 𝗮𝗻𝗱 𝗽𝗿𝗼𝘁𝗲𝗰𝘁𝗶𝗼𝗻 While regulations are important to protect users and society, overly restrictive laws could stifle progress and competitiveness. 🅴🆇🅰🅼🅿🅻🅴 : The EU's proposed AI Act has been criticized by some for its broad scope and potential to slow down AI development in Europe compared to other regions. 🤝 𝗖𝗼𝗹𝗹𝗮𝗯𝗼𝗿𝗮𝘁𝗶𝗼𝗻 𝗼𝘃𝗲𝗿 𝗹𝗲𝗴𝗶𝘀𝗹𝗮𝘁𝗶𝗼𝗻 Instead of rushing to pass laws, we need more collaboration between policymakers, AI experts, ethicists, and industry leaders. 🅴🆇🅰🅼🅿🅻🅴 : The Partnership on AI brings together leading tech companies, academics, and NGOs to develop best practices and ethical guidelines for AI. This kind of multistakeholder cooperation can help shape responsible AI development. 📚 𝗘𝗱𝘂𝗰𝗮𝘁𝗶𝗼𝗻 𝗮𝗻𝗱 𝘂𝗻𝗱𝗲𝗿𝘀𝘁𝗮𝗻𝗱𝗶𝗻𝗴 Before we can effectively regulate AI, we need a better understanding of the technology among policymakers and the public. 🅴🆇🅰🅼🅿🅻🅴 : Finland's "Elements of AI" course has been taken by over 1% of the country's population, including many government officials. This kind of widespread AI literacy is crucial for informed decision-making. While the impulse to regulate AI is understandable, we must approach it thoughtfully and collaboratively. By taking the time to fully understand the technology, its potential impacts, and the global context, we can create a regulatory framework that promotes innovation while protecting society. 🌐💡 𝘞𝘩𝘢𝘵 𝘥𝘰 𝘺𝘰𝘶 𝘵𝘩𝘪𝘯𝘬? 𝘚𝘩𝘰𝘶𝘭𝘥 𝘸𝘦 𝘳𝘶𝘴𝘩 𝘵𝘰 𝘳𝘦𝘨𝘶𝘭𝘢𝘵𝘦 𝘈𝘐, 𝘰𝘳 𝘵𝘢𝘬𝘦 𝘢 𝘮𝘰𝘳𝘦 𝘮𝘦𝘢𝘴𝘶𝘳𝘦𝘥 𝘢𝘱𝘱𝘳𝘰𝘢𝘤𝘩? 𝘚𝘩𝘢𝘳𝘦 𝘺𝘰𝘶𝘳 𝘵𝘩𝘰𝘶𝘨𝘩𝘵𝘴 𝘣𝘦𝘭𝘰𝘸! 💭 #AI #Regulation #Innovation #PolicyMaking

🚀 AI & Partners: RAND Europe: Exciting developments in the landscape of tools for trustworthy #AI in the UK and the US! 🚀 This report reveals key insights: United States 🇺🇸 🇺🇸 72% of tools are technical, developed by tech companies and academia. 🇺🇸 Significant academic involvement (27%) and procedural tools (30%). 🇺🇸 9% of tools are educational, supporting #AI implementation and understanding. United Kingdom 🇬🇧 🇬🇧 58% of tools are procedural, focusing on guidelines and frameworks. 🇬🇧 56% of tools are technical, with 12% educational. 🇬🇧 Academic involvement is less prominent (9%). Current Trends 📈 📈 Transition from ethical guidelines to practical tools. 📈 Increasing complexity with multimodal foundation models. 📈 Collaboration between industry, academia, and non-profits, especially in the US. Future Possibilities 🌟 🌟 Enhanced Collaboration: Co-developing international tools. ·🌟 Assessment Integration: Formal processes to ensure #AI tool effectiveness. 🌟 Focus on Multimodal Models: Tackling the complexity of new #AI models. 🌟 Potential Avenues for Collaboration 🤝 🌟 Standardization: Common vocabulary for trustworthy #AI. 🌟 Resource Sharing: Data and computing power collaboration. 🌟 Inclusive Approach: Engaging governments, businesses, civil society, and academia. EU #AI Act Touchpoints 🇪🇺 🇪🇺 Risk Management: Aligning with transparent decision-making and data tracking. 🇪🇺 Accountability: Clear structures supported by transparent processes. 🇪🇺 Data Governance: Ensuring high-quality data standards and interoperability. 🇪🇺 Human Oversight: Training for working alongside #AI. 🇪🇺 Ethical Considerations: Public engagement and ethical policy implementation. Both the UK and the US are paving the way for trustworthy #AI, focusing on different aspects of #AI trustworthiness. Collaboration, formal assessments, and addressing new #AI model complexities will be key. Aligning with the EU #AI Act will further strengthen the ecosystem. 🌐 Read more at > https://lnkd.in/dU5uaDm7 🌐 #TrustworthyAI #Collaboration #Innovation #EUAIAct #TechEthics #AI #DataGovernance #AIinBusiness AI & Partners

Are you a Small to Medium Sized Enterprise (SME) developing or using AI in your products or services in the UK? Do you know about the rules and regulations you should follow to be transparent to customers? If so, how do you interpret these rules, and how do you implement these rules in practice? If these questions are important to you, join us for our 'AI Transparency' research workshop in Bristol on Thursday, 6th June 2024. Your participation in the workshop will help co-create a 'regulation toolkit' that SMEs in the UK can use to comply with relevant AI transparency rules. Please register here: https://lnkd.in/e-Qqxtfp Department for Science, Innovation and Technology #FederationofSmallBusinesses #EnterpriseNation Responsible Ai UK #responsibleAI #UKSMEs #SMEs #AItransparency #transparency #ArtificialIntelligenceforBusiness #SMEsinBristol #BristolInnovation #internationalpartnerships

My son asked me if AI will one day take over the world. It's a question that is difficult to answer without a crystal ball. If he had asked me if AI will change the world, the answer would have been much easier. Yes! Of course, it will change the world! The way we harness AI will determine if the change will be for the better. Is your organization prepared and ready to embrace AI? Check out this AI readiness white paper to learn more about how we can prepare for the inevitable changes that AI will bring. #AI #AIreadiness #technology #futureofwork

Reflections on the ETH AI Policy Summit: The Imperative of AI Capabilities in Government   Attending the ETH AI Policy Summit last Friday was an insightful journey through the intersection of AI and policy. Personally, I was particularly looking forward to the panel discussion on the topic "AI in Government" with Tawana Petty, Lyria Bennett Moses, Bertrand Loison, Marcel Salathé and Pierre Rossel.   My takeaway from the discussion: Embracing AI is an endeavor that extends past mere implementation; it's about the cultivation of robust capabilities in public administrations to deploy these advancements in service of the common good.   These capabilities can be divided into two categories:   Individual Capabilities: This is about empowering public servants with the knowledge to navigate and apply AI technologies – from use cases in their work to understanding ethical implications. Such literacy isn't exclusive to IT professionals; it's vital across all levels, functions and domains.   Organizational Capabilities: Beyond individual skills and knowledge, the foundation of an AI-ready public organization lies in its systemic environment. This encompasses establishing strong data infrastructures, implementing clear AI governance policies, and fostering an organizational culture committed to continuous learning and innovation. These elements form the bedrock of responsible and proficient AI application within public organizations.   However, this transformation necessitates significant investment. Without it, the public sector may increasingly trail in operational efficiency and service quality, risk the irresponsible use of AI, and face growing dependency on the private sector—factors that could significantly erode public trust.   For those interested in a deeper dive, the paper "The dynamics of AI capability and its influence on public value creation of AI within public administration" is a must-read (see link below). Co-authored by panel moderator Colin van Noordt, it offers a comprehensive look at building AI capabilities within governments:   https://lnkd.in/duuCQhrZ   #AIPolicySummit #PublicAdministration #AIinGovernment #DigitalTransformation

Last week I invited Madhumita Murgia to present her new book “Code Dependent: Living in the Shadow of AI” at our latest Microsoft BookTalk event in Brussels.    In Madhumita’s own words it covers “stories of ordinary people who have unexpectedly collided with AI technologies.” She crossed the world – from Argentina to Bulgaria and beyond - to listen to people’s experiences with AI. She spoke to a doctor in rural India, a single mother in Amsterdam, and a British poet to name but a few and recounted some of these stories to Janosch Delcker during the event.    Here are some important takeaways from the discussion: - AI is a catalyst for progress, yet its deployment must be handled with care. - Ensuring human accountability is crucial in the development, deployment, and utilization of AI. - While the intentions behind AI use are typically positive, intentions alone are insufficient. - Perfection in AI systems is unattainable, thus understanding their limitations is crucial. - Regulation is vital for sensitive technologies like facial recognition; however, the emphasis should be on regulating the outcomes rather than the underlying technology.   I am grateful to Madhumita for sharing her important writing with us. We recognize the issues she raises - that’s why, through our own commitments and work, we advance and advocate for responsible AI that is fair, reliable and safe, secure and respectful of privacy, inclusive, transparent and accountable. And we will continue to do so for everyone to be able to benefit.    If you missed our BookTalk, Madhumita tells us in this video why she wrote the book, the questions we should all be asking, and what she believes technology companies and governments must do.

Look forward to seeing how companies like Microsoft play their part in rolling out AI with accountability and care, bringing access to those who need it most. Thanks for having me to talk about my book! Nanna-Louise Linde Nanna-Louise Linde • 2nd • 2nd Vice President, European Government Affairs, Microsoft Vice President, European Government Affairs, Microsoft 4d • Edited •     4 days ago Following Last week I invited Madhumita Murgia to present her new book “Code Dependent: Living in the Shadow of AI” at our latest Microsoft BookTalk event in Brussels. In Madhumita’s own words it covers “stories of ordinary people who have unexpectedly collided with AI technologies.” She crossed the world – from Argentina to Bulgaria and beyond - to listen to people’s experiences with AI. She spoke to a doctor in rural India, a single mother in Amsterdam, and a British poet to name but a few and recounted some of these stories to Janosch Delcker during the event. Here are some important takeaways from the discussion: - AI is a catalyst for progress, yet its deployment must be handled with care. - Ensuring human accountability is crucial in the development, deployment, and utilization of AI. - While the intentions behind AI use are typically positive, intentions alone are insufficient. - Perfection in AI systems is unattainable, thus understanding their limitations is crucial. - Regulation is vital for sensitive technologies like facial recognition; however, the emphasis should be on regulating the outcomes rather than the underlying technology. I am grateful to Madhumita for sharing her important writing with us. We recognize the issues she raises - that’s why, through our own commitments and work, we advance and advocate for responsible AI that is fair, reliable and safe, secure and respectful of privacy, inclusive, transparent and accountable. And we will continue to do so for everyone to be able to benefit. If you missed our BookTalk, Madhumita tells us in this video why she wrote the book, the questions we should all be asking, and what she believes technology companies and governments must do.

Look forward to seeing how companies like Microsoft play their part in rolling out AI with accountability and care, bringing access to those who need it most. Thanks for having me to talk about my book!

Acting as Advisor for Quality Tourism Services Association, (QTSA), “Sharing of Business Elites 2023 — Embracing Artificial Intelligence, shaping a service Revolution” — 29/08/2023 @ Hong Kong Conference and Exhibition Center Panelists: 1. Fred Sheu, National Technology Officer, Microsoft Hong Kong Limited 2. Louis Mah, Director of Group Information Technology, Maxim’s Group 3. Alvin Tam, Head of Digital Development, A.S. Watson Group Discussion Points: 1. Generative Artificial Intelligence a. Microsoft Open AI Partnership b. Responsible AI c. Business cases 2. AI in the Maxim’s context a. Business Performance b. Member Engagement c. New Channel d. ESG Initiatives 3. AI in the A. S. Watson’s Context a. Value Creation Ability b. Solution based AI c. AI-Fueled Corporation — 10 Illustration 以顧問身份參加 優質旅遊服務協會（QTSA）「翹楚滙2023 」經驗分享會— 主題：「擁抱 AI 大趨勢， 開創服務新時代」 — 29/08/2023 @香港會議展覽中心 嘉賓講者： 1. 微軟香港有限公司之區域科技長- 許遵發先生 2. 美心集團高級資訊科技總監 - 馬慶和先生 3. A.S. 屈臣氏集團數字開發主管 — Mr. Alvin Tam 討論要點： 1. 生成人工智能 a.微軟開放人工智能合作夥伴關係 b.負責任的人工智能 c. 商業案例 2. 美心集團背景下的 AI a. 經營業績 b. 會員參與度 c. 新頻道 d. ESG 舉措 3. A. S. 屈臣氏集團背景下的人工智能 a. 價值創造能力 b.基於人工智能的解決方案 c.人工智能驅動的10 個案例 Andrew Chan Fred Sheu Louis Mah Alvin TAM Helen Suen Amy Mak Lorna Lam Raymond Yeung GBA Business School 大灣區商學院 Lawrence Chan Veronica Li Patrick Lau Carrie Ng Ting Cheung Kennethan Li Ethan Wen Darren Cheung Ricky Lee Mae Chen Fiona Chau Tess Mak Joyce Cheng Dop Sun