Innovation Governance Policies

🌟 𝐒𝐭𝐨𝐩 𝐓𝐡𝐢𝐧𝐤𝐢𝐧𝐠 𝐁𝐢𝐠 - 𝐒𝐭𝐚𝐫𝐭 𝐓𝐡𝐢𝐧𝐤𝐢𝐧𝐠 𝐖𝐢𝐝𝐞! The biggest breakthroughs don’t happen by digging deeper into one area - they happen when ideas, industries, and technologies collide. Think about it: AI combined with IoT has transformed healthcare. Sustainability powered by cloud solutions is opening new markets. The magic lies at the 𝐢𝐧𝐭𝐞𝐫𝐬𝐞𝐜𝐭𝐢𝐨𝐧𝐬 - where fresh opportunities emerge. 🚀 𝐖𝐡𝐲 𝐓𝐡𝐢𝐬 𝐌𝐚𝐭𝐭𝐞𝐫𝐬 1️⃣ 𝐅𝐚𝐬𝐭𝐞𝐫 𝐈𝐧𝐧𝐨𝐯𝐚𝐭𝐢𝐨𝐧: Combining technologies like AI and cloud accelerates growth. 2️⃣ 𝐍𝐞𝐰 𝐌𝐚𝐫𝐤𝐞𝐭 𝐑𝐞𝐚𝐜𝐡: Partnerships across industries unlock untapped customers. 3️⃣ 𝐒𝐡𝐚𝐫𝐞𝐝 𝐕𝐚𝐥𝐮𝐞: Cross-industry collaboration lowers costs and drives new value. At Deloitte, I’ve seen the power of collaboration. By partnering with organizations like #Celonis, #Schaeffler, #HumboldtInnovation, and #GermanEntrepreneurship, we’ve established the European non-profit AI ecosystem, #KIPark. This initiative brings together players from different industries to unlock innovation. For example, we’ve developed an ESG platform, marking a significant step toward sustainable solutions that are robust and business-relevant. 🛠️ 𝐓𝐡𝐫𝐞𝐞 𝐖𝐚𝐲𝐬 𝐭𝐨 𝐒𝐭𝐚𝐲 𝐀𝐡𝐞𝐚𝐝 1️⃣ 𝐋𝐨𝐨𝐤 𝐎𝐮𝐭𝐬𝐢𝐝𝐞 𝐘𝐨𝐮𝐫 𝐈𝐧𝐝𝐮𝐬𝐭𝐫𝐲: Who could you partner with to create something new? 2️⃣ 𝐁𝐮𝐢𝐥𝐝 𝐌𝐢𝐱𝐞𝐝 𝐓𝐞𝐚𝐦𝐬: Pair data scientists with operations or customer-facing teams. 3️⃣ 𝐄𝐱𝐩𝐞𝐫𝐢𝐦𝐞𝐧𝐭 𝐁𝐨𝐥𝐝𝐥𝐲: Start small pilots that combine tech and business ideas. 🌍 𝐓𝐡𝐞 𝐁𝐨𝐭𝐭𝐨𝐦 𝐋𝐢𝐧𝐞 The future belongs to businesses that connect the dots others don’t see. Breadth - not just depth - is the key to growth and resilience. 💬 𝐘𝐨𝐮𝐫 𝐓𝐮𝐫𝐧 What’s one unexpected partnership or idea you’ve seen recently that sparked innovation? Let’s exchange ideas. Who knows what new intersections we might uncover together? #Deloitte #AI #Innovation #Leadership #BusinessStrategy #Partnerships 𝐴𝑟𝑡𝐵𝑎𝑠𝑒𝑙. 𝐶ℎ𝑎𝑛𝑔𝑒𝑂𝑓𝑃𝑒𝑟𝑠𝑝𝑒𝑐𝑡𝑖𝑣𝑒. 𝐹𝑜𝑢𝑛𝑑 𝑎𝑡 @𝑔𝑎𝑏𝑟𝑖𝑒𝑙𝑙𝑒𝑒𝑒𝑟𝑢𝑡ℎ

Keeping track of AI governance, policy and regulations is a never-ending task Here are the key tracker resources you need to follow to stay ahead 𝐀𝐈 𝐈𝐍𝐂𝐈𝐃𝐄𝐍𝐓𝐒 & 𝐑𝐈𝐒𝐊𝐒 ➡️ AI Risk Repository [MIT FutureTech] A comprehensive database of 700 risks from AI systems 🔗 https://airisk.mit.edu/ ➡️ AI Incident Database [Partnership on AI] Dedicated to indexing the collective history real-world of harms caused by the deployment of AI 🔗 https://lnkd.in/ewBaYitm ➡️ AI Incidents Monitor [OECD - OCDE] AI incidents and hazards reported in international media globally are identified and classified using machine learning models 🔗 https://lnkd.in/e4pJ7jcA 𝐀𝐈 𝐑𝐄𝐆𝐔𝐋𝐀𝐓𝐈𝐎𝐍𝐒 & 𝐏𝐎𝐋𝐈𝐂𝐈𝐄𝐒 ➡️ Global AI Law and Policy Tracker [IAPP - International Association of Privacy Professionals] Resource providing information about AI law and policy developments in key jurisdictions worldwide 🔗 https://lnkd.in/eiGMk9Rm ➡️ National AI Policies and Strategies [OECD.AI] Live repository of 1000+ AI policy initiatives from 69 countries, territories and the EU 🔗 https://lnkd.in/ebVTQzdb ➡️ Global AI Regulation Tracker [Raymond Sun] An interactive world map that tracks AI law, regulatory and policy developments around the world 🔗 https://lnkd.in/ekaKzmzD ➡️ U.S. State AI Governance Legislation Tracker [IAPP - International Association of Privacy Professionals] Tracker which focuses on cross-sectoral AI governance bills that apply to the private sector 🔗 https://lnkd.in/ee4N-ckB. 𝐀𝐈 𝐆𝐎𝐕𝐄𝐑𝐍𝐀𝐍𝐂𝐄 𝐓𝐎𝐎𝐋𝐊𝐈𝐓𝐒 & 𝐑𝐄𝐒𝐎𝐔𝐑𝐂𝐄𝐒 ➡️ AI Standards Hub [The Alan Turing Institute] Online repository of 300+ AI standards 🔗 https://lnkd.in/erVdP4g7 ➡️ AI Risk Management Framework Playbook [National Institute of Standards and Technology (NIST)] Playbook of recommended actions, resources and materials to support implementation of the NIST AI RMF. 🔗 https://lnkd.in/eTzpfbCi ➡️ Catalogue of Tools & Metrics for Trustworthy AI [OECD.AI] Tools and metrics which help AI actors to build and deploy trustworthy AI systems 🔗 https://lnkd.in/e_mnAbpZ ➡️ Portfolio of AI Assurance Techniques [Department for Science, Innovation and Technology] The Portfolio showcases examples of AI assurance techniques being used in the real-world to support the development of trustworthy AI 🔗 https://lnkd.in/eJ5V3uzb Happy tracking!

"this position paper challenges the outdated narrative that ethics slows innovation. Instead, it proves that ethical AI is smarter AI—more profitable, scalable, and future-ready. AI ethics is a strategic advantage—one that can boost ROI, build public trust, and future-proof innovation. Key takeaways include: 1. Ethical AI = High ROI: Organizations that adopt AI ethics audits report double the return compared to those that don’t. 2. The Ethics Return Engine (ERE): A proposed framework to measure the financial, human, and strategic value of ethics. 3. Real-world proof: Mastercard’s scalable AI governance and Boeing’s ethical failures show why governance matters. 4. The cost of inaction is rising: With global regulation (EU AI Act, etc.) tightening, ethical inaction is now a risk. 5. Ethics unlocks innovation: The myth that governance limits creativity is busted. Ethical frameworks enable scale. Whether you're a policymaker, C-suite executive, data scientist, or investor—this paper is your blueprint to aligning purpose and profit in the age of intelligent machines. Read the full paper: https://lnkd.in/eKesXBc6 Co-authored by Marisa Zalabak, Balaji Dhamodharan, Bill Lesieur, Olga Magnusson, Shannon Kennedy, Sundar Krishnan and The Digital Economist.

🚀 Now publicly available 🚀 The Data Innovation Toolkit! And Repository! (✍️ coauthored with Maria Claudia Bodino, Nathan da Silva Carvalho, Marcelo Cogo, and Arianna Dafne Fini Storchi, and commissioned by the Digital Innovation Lab (iLab) of DG DIGIT at the European Commission) 👉 Despite the growing awareness about the value of data to address societal issues, the excitement around AI, and the potential for transformative insights, many organizations struggle to translate data into actionable strategies and meaningful innovations. 🔹 How can those working in the public interest better leverage data for the public good? 🔹 What practical resources can help navigate data innovation challenges? To bridge these gaps, we developed a practical and easy-to-use toolkit designed to support decision makers and public leaders managing data-driven initiatives. 🛠️ What’s inside the first version of the Digital Innovation Toolkit (105 pages)? 👉A repository of educational materials and best practices from the public sector, academia, NGOs, and think tanks. 👉 Practical resources to enhance data innovation efforts, including: ✅Checklists to ensure key aspects of data initiatives are properly assessed. ✅Interactive exercises to engage teams and build essential data skills. ✅Canvas models for structured planning and brainstorming. ✅Workshop templates to facilitate collaboration, ideation, and problem-solving. 🔍 How was the toolkit developed? 📚 Repository: Curated literature review and a user-friendly interface for easy access. 🎤 Interviews & Workshops: Direct engagement with public sector professionals to refine relevance. 🚀 Minimum Viable Product (MVP): Iterative development of an initial set of tools. 🧪 Usability Tests & Pilots: Ensuring functionality and user-friendliness. This is just the beginning! We’re excited to continue refining and expanding this toolkit to support data innovation across public administrations. 🔗 Check it out and let us know your thoughts: 💻 Data Innovation Toolkit: https://lnkd.in/e68kqmZn 💻 Data Innovation Repository: https://lnkd.in/eU-vZqdC #DataInnovation #PublicSector #DigitalTransformation #OpenData #AIforGood #GovTech #DataForPublicGood

Our new report, State Transformation in Brazil: Designing mission-oriented public procurement, state-owned enterprises and digital public infrastructure to advance sustainable and inclusive growth, explores how key government tools and institutions could be designed to better support a whole-of-government, cross-sectoral and mission-oriented approach to achieving sustainable and inclusive growth in Brazil.     This report – which I authored with David Eaves, Sarah Doyle, Giulia Lanzuolo, Eduardo Spanó, Giovanni Tagliani, and Fernando Amorim Teixeira – is based on a partnership between the UCL Institute for Innovation and Public Purpose (IIPP) and Brazil’s Ministério da Gestão e da Inovação em Serviços Públicos (Ministry of Management and Innovation in Public Services - MGI), supported by Open Society Foundations (OSF), which began in 2023. The Government of Brazil has set in motion a potentially transformative economic agenda through its mission-oriented industrial strategy, ecological transformation plan and other initiatives. But to realize this potential, an equally ambitious agenda of state transformation is needed. This report recommends changes to the design and governance of public procurement, state-owned enterprises, and digital public infrastructure.    While focused on Brazil, insights from this report are relevant globally.     Read the report ➡️ https://lnkd.in/gixSkYcg   Related work includes:   - Innovation-driven inclusive and sustainable growth: challenges and opportunities for Brazil https://lnkd.in/gJXhmSJc - Leveraging procurement to advance Brazil’s economic transformation agenda https://lnkd.in/epCAZrdf - Leveraging digital public infrastructures for the common good https://lnkd.in/eeu7vJMA - A mission-oriented framework for the coordination of State-Owned Enterprises in Brazil https://lnkd.in/e4VUAAYH - Mission-oriented industrial strategy: global insights https://lnkd.in/eHDNeiNu - Challenges and opportunities for inclusive and sustainable innovation-led growth in Brazil https://lnkd.in/gssiQ2YU

India’s IITs are world-class for undergrads—so why do they lag in research & postgraduate excellence? Despite immense talent and bright spots (IISc, select IIT labs), India’s research impact trails Western and leading Asian peers (China, South Korea, Japan, Hong Kong, Singapore). Closing this gap is essential for the innovation economy. What’s holding India back (plainly): Thin research funding. R&D ~0.7% of GDP; labs and core facilities underfunded. Skewed incentives. “Publish a lot” beats “publish well,” hurting citation impact and reputation. Talent leakage. Low/irregular PhD stipends and weak early-career paths push top students abroad. Low internationalization. Too few foreign faculty/students; limited international co-authorship. Teaching legacy. Institutes built for UG excellence; research pivot is recent and uneven. Red tape. Centralized rules slow hiring, procurement, partnerships, new programs. Shallow industry links. Limited sponsored research and tech transfer impede translation. Seven moves to bend the curve: 1) Fund like it matters. Lift R&D toward 2% of GDP; ring-fence facilities/core labs. Grant financial autonomy (endowments, flexible fees for specialised/intl programmes, retain IP income). 2) Reward excellence, not volume. Promotions/hiring weighted to field-leading work (top-tier journals, patents/products). Zero tolerance for predatory outlets. Time and seed grants for bold ideas. 3) Make India the best PhD destination. Raise/index fellowships; pay on time. Expand postdocs, mentoring, early-career grants. Create return-chairs for diaspora; enable globally competitive offers. 4) Go global by design. Target 20%+ foreign faculty in priority areas; scholarships for international PGs; joint PhD academies; MoUs tied to co-advised theses, shared labs, mobility. 5) Back fundamentals and translation. Fund blue-sky science alongside mission centres. Professionalize TTOs, cover patent costs, build incubators integrated with graduate training. 6) Govern for speed and accountability. Real academic/administrative autonomy with transparent dashboards (research quality, time-to-procure, graduation, placement, spin-outs). Regulators as facilitators. 7) Make industry a co-investor. Matching grants/tax credits for sponsored research; embedded industry labs; normalized faculty R&D sabbaticals; industry adjuncts; credit-bearing student build-sprints. A pragmatic horizon: With aligned money, metrics, mobility, and management, IITs/IISc/IISERs and leading universities can move from “strong teaching, patchy research” to globally competitive research engines within a decade. This is less about rankings, more about an innovation flywheel: attract talent → fund excellence → produce breakthroughs → translate at scale → reinvest. #HigherEd #Research #Innovation #India #IIT #IISc #GradSchool #STEM #Policy #Talent #RandD #UniversityReform #DeepTech #MakeInIndia #BrainGain #AcademicExcellence

Presenting a significant milestone on our journey towards a digitally empowered future: our Digital Public Infrastructure (DPI) playbook—a comprehensive resource designed to help nations kickstart their digital transformation journey with a DPI approach. What makes it even more special is that it is written by a bright and young team of ladies at Deloitte: Aishwarya Dixit, Kanika Kishore and Priyanka Yadav. In an era marked by rapid digital advancements, adopting a piecemeal approach to digital systems can leave governments vulnerable to potential risks. Resilient and unified digital foundations, facilitated by a plug-n-play DPI layer, become crucial for equitable and affordable access to digital services and cost-effective sustainability, especially in times of crisis. The DPI playbook can serve as a guide or a compass for nations navigating their digital transformation journey. It explores the intricacies of DPIs, emphasising their role in fostering interoperability, scalability, and growth across sectors. The playbook also equips countries with tools to assess their current DPI landscape, identifying strengths, challenges, and gaps. By focusing on key design principles and a building-block approach, it offers step-by-step guiding principles for a sector-agnostic DPI foundation, ensuring a strategic and sustainable transformation. Top highlights: - Diagnostic analysis for DPI landscape: Enables countries to identify strengths, challenges, and gaps in their technological infrastructure. - Key design principles: Emphasises principles for sustainable and strategic transformation, maximising the impact of DPI initiatives. - Digital Inclusivity at the core: Guides countries to define distinct goals and objectives with digital inclusivity at the forefront. - Best practices/case studies: Valuable lessons and best practices from successful DPI journeys of other countries, offering a roadmap based on proven success stories - Funding and Outreach Strategies: Addresses the importance of financial support and stakeholder engagement. These are general guidelines for setting up a DPI roadmap, the countries should contextualise and consider their local preparedness and diversity while using this as a guide and define their way forward for embarking on a DPI journey to build a robust digital foundation. This DPI playbook is a call to action, inviting policymakers and stakeholders to define a DPI roadmap for their countries, ensuring security and scale in a sustainable, affordable digital transformation strategy. Let's collectively shape a resilient digital landscape that leaves no one behind! Read more here: https://rb.gy/mvl7vy My sincere gratitude to Dr. Pramod Varma, Shankar Maruwada, Dr. RS Sharma, and Srikanth Nadhamuni for their invaluable contributions and expertise in ensuring the playbook serves as a holistic guide for nations embarking on their DPI journey. NSN Murty Sreeram Ananthasayanam #indiagrowthstory #distinctlydeloitte

The spread & scale of innovation & good practices for improvement is a significant, long standing challenge. There is no "one method or model fits all". The NHS Horizons team, led by Diane Ketley, suggests seven distinct approaches to spread & scale (which can be combined), dependent on the nature of the innovation/improvement & the specific context: 1) Building capacity & capability 2) Networking, peer learning & collaboration 3) Piloting & rolling out 4) Coordinating through large scale engagement & national programmes 5) Investing & incentivising 6) Governing & assuring 7) Identifying & communicating priorities There are links to some outstanding resources: https://t.co/XpfVIEKIbw. Graphic: Tanmay Vora

After spending three decades in the aerospace industry, I’ve seen firsthand how crucial it is for different sectors to learn from each other. We no longer can afford to stay stuck in our own bubbles. Take the aerospace industry, for example. They’ve been looking at how car manufacturers automate their factories to improve their own processes. And those racing teams? Their ability to prototype quickly and develop at a breakneck pace is something we can all learn from to speed up our product development. It’s all about breaking down those silos and embracing new ideas from wherever we can find them. When I was leading the Scorpion Jet program, our rapid development – less than two years to develop a new aircraft – caught the attention of a company known for razors and electric shavers. They reached out to us, intrigued by our ability to iterate so quickly, telling me "you developed a new jet faster than we can develop new razors..." They wanted to learn how we managed to streamline our processes. It was quite an unexpected and fascinating experience that underscored the value of looking beyond one’s own industry can lead to significant improvements and efficiencies, even in fields as seemingly unrelated as aerospace and consumer electronics. In today’s fast-paced world, it’s more important than ever for industries to break out of their silos and look to other sectors for fresh ideas and processes. This kind of cross-industry learning not only fosters innovation but also helps stay competitive in a rapidly changing market. For instance, the aerospace industry has been taking cues from car manufacturers to improve factory automation. And the automotive companies are adopting aerospace processes for systems engineering. Meanwhile, both sectors are picking up tips from tech giants like Apple and Google to boost their electronics and software development. And at Siemens, we partner with racing teams. Why? Because their knack for rapid prototyping and fast-paced development is something we can all learn from to speed up our product development cycles. This cross-pollination of ideas is crucial as industries evolve and integrate more advanced technologies. By exploring best practices from other industries, companies can find innovative new ways to improve their processes and products. After all, how can someone think outside the box, if they are only looking in the box? If you are interested in learning more, I suggest checking out this article by my colleagues Todd Tuthill and Nand Kochhar where they take a closer look at how cross-industry learning are key to developing advanced air mobility solutions. https://lnkd.in/dK3U6pJf

Yesterday, we launched the Global Innovation Index (GII) 2024 with remarks from Heads of State, Presidents, and panel discussions on innovation and social entrepreneurship. As World Intellectual Property Organization – WIPO’s flagship report, the GII offers insights into global innovation ecosystems and the role of intellectual property (IP) in economic growth. Now in its 17th edition, the GII 2024 covers 133 economies and is used in over 90 countries to help enhance innovation ecosystems, policies, and metrics. This year's special edition features a chapter, "𝐔𝐧𝐥𝐨𝐜𝐤𝐢𝐧𝐠 𝐭𝐡𝐞 𝐏𝐫𝐨𝐦𝐢𝐬𝐞 𝐨𝐟 𝐒𝐨𝐜𝐢𝐚𝐥 𝐄𝐧𝐭𝐫𝐞𝐩𝐫𝐞𝐧𝐞𝐮𝐫𝐬𝐡𝐢𝐩,” produced with the Skoll Centre for Social Entrepreneurship. Social entrepreneurship leverages innovative solutions to address social, economic or environmental challenges, without profit as the primary motive. The GII team and I worked with Skoll to highlight how innovation through social entrepreneurship can solve pressing global challenges. In 2024, 𝐒𝐰𝐢𝐭𝐳𝐞𝐫𝐥𝐚𝐧𝐝, 𝐒𝐰𝐞𝐝𝐞𝐧, the 𝐔𝐧𝐢𝐭𝐞𝐝 𝐒𝐭𝐚𝐭𝐞𝐬, 𝐒𝐢𝐧𝐠𝐚𝐩𝐨𝐫𝐞,and the 𝐔𝐧𝐢𝐭𝐞𝐝 𝐊𝐢𝐧𝐠𝐝𝐨𝐦 lead in the Global Innovation Index, while emerging economies such as 𝐂𝐡𝐢𝐧𝐚, 𝐓𝐮̈𝐫𝐤𝐢𝐲𝐞, 𝐈𝐧𝐝𝐢𝐚, 𝐕𝐢𝐞𝐭 𝐍𝐚𝐦, and the 𝐏𝐡𝐢𝐥𝐢𝐩𝐩𝐢𝐧𝐞𝐬 have made impressive advancements. 𝐓𝐨𝐩 𝐭𝐚𝐤𝐞𝐚𝐰𝐚𝐲𝐬 𝐟𝐫𝐨𝐦 𝐭𝐡𝐞 𝟐𝟎𝟐𝟒 𝐆𝐈𝐈: ·      𝐃𝐞𝐜𝐥𝐢𝐧𝐞 𝐢𝐧 𝐈𝐧𝐧𝐨𝐯𝐚𝐭𝐢𝐨𝐧 𝐢𝐧𝐯𝐞𝐬𝐭𝐦𝐞𝐧𝐭𝐬: After a boom in 2020-2022, global venture capital funding fell by 40% in 2023, which could slow innovation, particularly in emerging markets. ·     𝐓𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐲 𝐩𝐫𝐨𝐠𝐫𝐞𝐬𝐬 𝐚𝐧𝐝 𝐚𝐝𝐨𝐩𝐭𝐢𝐨𝐧 𝐠𝐫𝐨𝐰𝐢𝐧𝐠, 𝐰𝐡𝐢𝐥𝐞 𝐭𝐡𝐞 𝐬𝐨𝐜𝐢𝐨𝐞𝐜𝐨𝐧𝐨𝐦𝐢𝐜 𝐢𝐦𝐩𝐚𝐜𝐭 𝐨𝐟 𝐢𝐧𝐧𝐨𝐯𝐚𝐭𝐢𝐨𝐧 𝐡𝐚𝐬 𝐭𝐮𝐫𝐧𝐞𝐝 𝐩𝐨𝐬𝐢𝐭𝐢𝐯𝐞: Despite challenges, technologies like 5G, electric vehicles, and genome sequencing continue to advance, driven by innovation ecosystems. This is boosting labor productivity and reducing poverty, though environmental progress is falling behind. ·      𝐒𝐨𝐜𝐢𝐚𝐥 𝐞𝐧𝐭𝐫𝐞𝐩𝐫𝐞𝐧𝐞𝐮𝐫𝐬𝐡𝐢𝐩 𝐢𝐬 𝐚𝐧 𝐢𝐦𝐩𝐨𝐫𝐭𝐚𝐧𝐭 𝐛𝐮𝐭 𝐨𝐟𝐭𝐞𝐧 𝐨𝐯𝐞𝐫𝐥𝐨𝐨𝐤𝐞𝐝 𝐝𝐫𝐢𝐯𝐞𝐫 𝐨𝐟 𝐢𝐧𝐧𝐨𝐯𝐚𝐭𝐢𝐨𝐧: Social enterprises are reshaping sectors by introducing community-driven innovative solutions to social and environmental challenges, where traditional solutions by governments or businesses often fall short. For it to thrive, we need strong innovation ecosystems, funding and IP protections. I want to thank the GII team and all contributors for your hard work and dedication. Read the 𝐆𝐥𝐨𝐛𝐚𝐥 𝐈𝐧𝐧𝐨𝐯𝐚𝐭𝐢𝐨𝐧 𝐈𝐧𝐝𝐞𝐱 𝟐𝟎𝟐𝟒: https://lnkd.in/dtvQimrJ Photo credit: WIPO/Berrod #GlobalInnovationIndex #InnovationEcosystem #IntellectualProperty #WIPO #SocialEntrepreneurship #VentureCapital #InnovationLeadership #IPforGrowth #SustainableInnovation #SkollCentre