How AI is Transforming Governance Practices

"The rapid evolution and swift adoption of generative AI have prompted governments to keep pace and prepare for future developments and impacts. Policy-makers are considering how generative artificial intelligence (AI) can be used in the public interest, balancing economic and social opportunities while mitigating risks. To achieve this purpose, this paper provides a comprehensive 360° governance framework: 1 Harness past: Use existing regulations and address gaps introduced by generative AI. The effectiveness of national strategies for promoting AI innovation and responsible practices depends on the timely assessment of the regulatory levers at hand to tackle the unique challenges and opportunities presented by the technology. Prior to developing new AI regulations or authorities, governments should: – Assess existing regulations for tensions and gaps caused by generative AI, coordinating across the policy objectives of multiple regulatory instruments – Clarify responsibility allocation through legal and regulatory precedents and supplement efforts where gaps are found – Evaluate existing regulatory authorities for capacity to tackle generative AI challenges and consider the trade-offs for centralizing authority within a dedicated agency 2 Build present: Cultivate whole-of-society generative AI governance and cross-sector knowledge sharing. Government policy-makers and regulators cannot independently ensure the resilient governance of generative AI – additional stakeholder groups from across industry, civil society and academia are also needed. Governments must use a broader set of governance tools, beyond regulations, to: – Address challenges unique to each stakeholder group in contributing to whole-of-society generative AI governance – Cultivate multistakeholder knowledge-sharing and encourage interdisciplinary thinking – Lead by example by adopting responsible AI practices 3 Plan future: Incorporate preparedness and agility into generative AI governance and cultivate international cooperation. Generative AI’s capabilities are evolving alongside other technologies. Governments need to develop national strategies that consider limited resources and global uncertainties, and that feature foresight mechanisms to adapt policies and regulations to technological advancements and emerging risks. This necessitates the following key actions: – Targeted investments for AI upskilling and recruitment in government – Horizon scanning of generative AI innovation and foreseeable risks associated with emerging capabilities, convergence with other technologies and interactions with humans – Foresight exercises to prepare for multiple possible futures – Impact assessment and agile regulations to prepare for the downstream effects of existing regulation and for future AI developments – International cooperation to align standards and risk taxonomies and facilitate the sharing of knowledge and infrastructure"

#AgenticAI is revolutionizing Governance, Risk, and Compliance (GRC) by transforming traditionally manual, reactive processes into intelligent, proactive systems that operate with minimal human intervention. Key Transformations -Autonomous Compliance Monitoring: AI continuously tracks regulatory changes, automatically updates documentation, and generates audit-ready evidence in real time. -Intelligent Risk Prediction: Advanced algorithms forecast potential risk events, model complex scenarios, and recommend optimal mitigation strategies before issues materialize. -Continuous Control Validation: 24/7 monitoring replaces periodic testing with self-healing capabilities that can remediate control weaknesses automatically. -Smart Policy Management: Natural language processing analyzes and updates policies based on regulatory changes, with targeted distribution and verification of implementation. Business Impact Organizations implementing agentic AI in GRC functions are achieving remarkable results: 85% reduction in manual compliance activities 70% faster audit preparation and completion 50% reduction in risk incidents Near real-time regulatory compliance The future of GRC lies in fully autonomous functions with predictive compliance capabilities and integrated ecosystems that provide organizations with unprecedented agility in navigating complex regulatory landscapes—transforming #GRC from a cost center into a strategic advantage.

The G7 Toolkit for Artificial Intelligence in the Public Sector, prepared by the OECD.AI and UNESCO, provides a structured framework for guiding governments in the responsible use of AI and aims to balance the opportunities & risks of AI across public services. ✅ a resource for public officials seeking to leverage AI while balancing risks. It emphasizes ethical, human-centric development w/appropriate governance frameworks, transparency,& public trust. ✅ promotes collaborative/flexible strategies to ensure AI's positive societal impact. ✅will influence policy decisions as governments aim to make public sectors more efficient, responsive, & accountable through AI. Key Insights/Recommendations: 𝐆𝐨𝐯𝐞𝐫𝐧𝐚𝐧𝐜𝐞 & 𝐍𝐚𝐭𝐢𝐨𝐧𝐚𝐥 𝐒𝐭𝐫𝐚𝐭𝐞𝐠𝐢𝐞𝐬: ➡️importance of national AI strategies that integrate infrastructure, data governance, & ethical guidelines. ➡️ different G7 countries adopt diverse governance structures—some opt for decentralized governance; others have a single leading institution coordinating AI efforts. 𝐁𝐞𝐧𝐞𝐟𝐢𝐭𝐬 & 𝐂𝐡𝐚𝐥𝐥𝐞𝐧𝐠𝐞𝐬 ➡️ AI can enhance public services, policymaking efficiency, & transparency, but governments to address concerns around security, privacy, bias, & misuse. ➡️ AI usage in areas like healthcare, welfare, & administrative efficiency demonstrates its potential; ethical risks like discrimination or lack of transparency are a challenge. 𝐄𝐭𝐡𝐢𝐜𝐚𝐥 𝐆𝐮𝐢𝐝𝐞𝐥𝐢𝐧𝐞𝐬 & 𝐅𝐫𝐚𝐦𝐞𝐰𝐨𝐫𝐤𝐬 ➡️ focus on human-centric AI development while ensuring fairness, transparency, & privacy. ➡️Some members have adopted additional frameworks like algorithmic transparency standards & impact assessments to govern AI's role in decision-making. 𝐏𝐮𝐛𝐥𝐢𝐜 𝐒𝐞𝐜𝐭𝐨𝐫 𝐈𝐦𝐩𝐥𝐞𝐦𝐞𝐧𝐭𝐚𝐭𝐢𝐨𝐧 ➡️provides a phased roadmap for developing AI solutions—from framing the problem, prototyping, & piloting solutions to scaling up and monitoring their outcomes. ➡️ engagement + stakeholder input is critical throughout this journey to ensure user needs are met & trust is built. 𝐄𝐱𝐚𝐦𝐩𝐥𝐞𝐬 𝐨𝐟 𝐀𝐈 𝐢𝐧 𝐔𝐬𝐞 ➡️Use cases include AI tools in policy drafting, public service automation, & fraud prevention. The UK’s Algorithmic Transparency Recording Standard (ATRS) and Canada's AI impact assessments serve as examples of operational frameworks. 𝐃𝐚𝐭𝐚 & 𝐈𝐧𝐟𝐫𝐚𝐬𝐭𝐫𝐮𝐜𝐭𝐮𝐫𝐞: ➡️G7 members to open up government datasets & ensure interoperability. ➡️Countries are investing in technical infrastructure to support digital transformation, such as shared data centers and cloud platforms. 𝐅𝐮𝐭𝐮𝐫𝐞 𝐎𝐮𝐭𝐥𝐨𝐨𝐤 & 𝐈𝐧𝐭𝐞𝐫𝐧𝐚𝐭𝐢𝐨𝐧𝐚𝐥 𝐂𝐨𝐥𝐥𝐚𝐛𝐨𝐫𝐚𝐭𝐢𝐨𝐧: ➡️ importance of collaboration across G7 members & international bodies like the EU and Global Partnership on Artificial Intelligence (GPAI) to advance responsible AI. ➡️Governments are encouraged to adopt incremental approaches, using pilot projects & regulatory sandboxes to mitigate risks & scale successful initiatives gradually.

📜 🤖 Global AI and Democracy Watch: UAE's AI-Powered Legislative Office: An Experiment Worth Watching The UAE Cabinet has just approved what they're calling the world's first "Legislative Intelligence Office," promising to transform lawmaking through AI by integrating legislation, judicial rulings, and public services into a continuously updated framework. 🔄 This system could potentially identify contradictions in existing laws, surface relevant precedents, and model policy impacts—potentially accelerating lawmaking by 70%. But serious questions remain: Who controls this system? Will it incorporate diverse perspectives? Can efficiency-focused AI preserve crucial democratic deliberation? 💡 At Reboot Democracy, we're watching this experiment closely. While AI might help legislatures worldwide struggling with information overload, we must measure success not just by speed, but by whether it produces better laws, enhances transparency, and maintains meaningful human judgment and public participation. ⚖️ What do you think? Should democratic governments be exploring similar innovations? 🤔 Read my full analysis: https://lnkd.in/eUiu8fct #AIGovernance #LegalTech #DigitalDemocracy #GovTech

Artificial intelligence is no longer just a vision for the future—it’s revolutionizing how government agencies operate today. A recent Google-commissioned IDC study found that 50% of federal agencies report high AI maturity, embracing innovation and piloting generative AI to enhance mission impact. Here are the top AI trends we’re seeing shape the public sector in 2025, with real-world success stories: 🔹 Multimodal AI – Hawaii DOT is using Google Earth Engine and Cloud AI to tackle climate challenges and prioritize infrastructure investments. 🔹 AI Agents – Sullivan County NY government implemented virtual agents using Google AI to serve more citizens 24/7, even with limited staff. 🔹 Assistive Search – The Air Force Research Lab (AFRL) is leveraging AI and cloud computing to accelerate research in materials science, bioinformatics, and human performance optimization. 🔹 AI-Powered Citizen Services – Wisconsin Department of Workforce Development (DWD) scaled unemployment insurance claims processing with AI, reducing fraud and improving response times. 🔹 AI-Driven Security – New York City faces 90 billion cyber events per week—AI-powered automation helps filter down to the most critical risks. AI is already transforming government agencies across the country. To continue this momentum, agencies must invest in AI leadership, governance, and security to build trust and resilience. Download the AI Trends 2025 in Public Sector report to explore how AI can support your mission: #GooglePublicSector #PublicSectorInnovation

UAE Becomes First Country to Use AI to Write Laws The UAE just made history by becoming the first country to announce that federal and local laws, judicial rulings, executive procedures, and even public services will be written by AI. This move isn’t just a headline — it’s a glimpse into the future of governance. Having worked closely with AI systems in business processes, I’ve seen firsthand how AI can increase efficiency, catch inconsistencies, and speed up decision-making. Applying those strengths to legislative writing could mean faster updates to regulations, better consistency across legal texts, and fewer human errors in complex bureaucratic systems. But it also raises big questions. How do we ensure AI-written laws align with societal values and context? Who’s accountable if the system drafts a policy with unintended consequences? How do you build transparency into algorithms that govern human lives? The UAE's bold move is going to force every country to start thinking differently about how technology can (and should) shape government operations. The balance between efficiency and human oversight will be critical. AI isn’t just a tool for private companies anymore. It’s stepping into the public square — and rewriting the rulebook in real time. How far should governments go in trusting AI with decision-making? #ArtificialIntelligence #AIGovernance #FutureOfWork #DigitalTransformation #AI #PolicyInnovation