RegulatingAI

AI infrastructure is becoming a critical business priority. Understanding the challenges around energy, capacity, and infrastructure is essential as organizations scale AI adoption. In this edition of FlashCast, Brian Janous, Co-Founder of Cloverleaf Infrastructure, shares insights alongside Sanjay Puri, Host & Chairman of Regulating AI. Watch the conversation - youtu.be/xGEGoPxaz8c Follow the Regulating AI YouTube channel for more FlashCast episodes, expert insights, and actionable perspectives on AI policy, technology, and business. #FlashCast #KnowledgeNetworks #AIInfrastructure #ArtificialIntelligence #AILeadership #AIPolicy

Democrats won. AI data center stocks slipped 📉, and clean energy surged. ⚡ Data centers were an election issue. Swipe to see what voters said ➡️ Follow AI on the Ballot for post-election AI updates. 🤖🗳️ AI on the Ballot | Regulating AI #AIOnTheBallot #ArtificialIntelligence #AIPolicy #MidtermElections2026 #ResponsibleAI #PublicPolicy

Congratulations to Rep. Suhas Subramanyam on his re-election to the U.S. House of Representatives, representing Virginia’s 10th District! At our Data Center event, Rep. Subramanyam shared valuable perspectives on the future of data center infrastructure, emphasizing the importance of distributed development, low-latency connectivity, and reliable power. He also highlighted the national security implications of data center concentration and the need to protect communities surrounding these facilities. We’re proud to have had him as a panelist and look forward to continuing conversations that advance responsible AI infrastructure and governance. #RegulatingAI #SuhasSubramanyam #AIInfrastructure #DataCenters #ResponsibleAI #AIGovernance #Congratulations

Today, AI is on the ballot, and it’s in your feed too. 🗳️🤖 Deepfakes and synthetic media can mislead voters into believing what is not true. Swipe ➡️ for simple habits experts recommend before you trust or share political content. The content may be synthetic. The consequences are real. Have you come across a political clip you weren’t sure was real? AI on the Ballot | Regulating AI- aiontheballots.com/ #AIOnTheBallot #ArtificialIntelligence #AIPolicy #MidtermElections2026 #ResponsibleAI #PublicPolicy

🗳️ AI is revolutionising political campaigning. Are regulations keeping up? AI-generated political ads are raising concerns about transparency, disclosure, and voter trust. Does AI influence the election process? What should policymakers take into account when the use of synthetic media in politics increases? Find out how policies regulating AI are evolving with RegulatingAI, an initiative of Knowledge Networks. #RegulatingAI #AIGovernance #AIPolicy #AIRegulation #ResponsibleAI #Flashcast #MIdtermElections2026

The AI debate has begun ahead of the 2026 U.S. midterms. AI is becoming a campaign issue, with public polls showing negative perceptions among many voters, despite President Trump advocating for AI development. Track where every candidate stands- aiontheballots.com/tracker/ AI on the Ballot | Regulating AI #AIOnTheBallot #ArtificialIntelligence #AIPolicy #MidtermElections2026 #ResponsibleAI #PublicPolicy

The most dangerous AI risks may be the ones you don’t see coming. From deepfake fraud to decisions without clear accountability, AI risks are evolving. Is your governance keeping pace? Look beyond the obvious threats. Because innovation without oversight can become a liability. Explore AI governance with RegulatingAI. 🔗 regulatingai.org/ #AIPolicy100 #AIGovernance #AIPolicy #AIRegulation #ResponsibleAI

What happens when AI agents get past the safeguards meant to control them? This happened twice at OpenAI, raising serious AI safety and accountability concerns. Singapore issued guidelines for testing AI agents; the OECD set standards for reporting AI incidents. But how do we check the safeguards? Is reporting AI incidents mandatory? 🔍 Stay tuned for AI policy news at Regulating AI. 🔗regulatingai.org/ Regulating AI | A Knowledge Networks Initiative #RegulatingAI #AIGovernance

AI is revolutionising political campaigning. Are regulations keeping up? 🗳️ AI-generated political ads raise concerns about transparency, disclosure, and voter trust. As synthetic media in politics grows, what should policymakers consider? Follow RegulatingAI, a Knowledge Networks initiative, for AI policy updates. #AIGovernance #RegulatingAI

The AI debate has begun ahead of the 2026 U.S. midterms. AI is becoming a campaign issue, with public polls showing negative perceptions among many voters, even as President Trump advocates AI development. Track where every candidate stands- aiontheballots.com/tracker/ AI on the Ballot | Regulating AI #AIOnTheBallot #ArtificialIntelligence #AIPolicy #MidtermElections2026 #ResponsibleAI #PublicPolicy

With $137 million spent on AI-generated political ads during the US midterm cycle, the question goes beyond what AI can create. It’s about what voters can trust. Only 31% of the AI ads tracked disclosed AI use, while state-level labelling requirements vary and no comprehensive federal disclosure rule covers all AI-generated political ads. Who is responsible when synthetic content influences public opinion? What protections should voters have? And who decides the rules? As the November 3 midterms approach, AI policy is also a conversation about transparency, accountability, and public trust. 🔎 Track where your candidates stand on AI. Then make your vote count. Follow AI on the Ballot for the policies shaping AI and democracy. AI on the Ballot | Regulating AI #AIOnTheBallot #ArtificialIntelligence #AIPolicy #MidtermElections2026 #ResponsibleAI #PublicPolicy

AI governance isn't happening in one place. Over 126 countries are developing AI policies, and alongside national laws, there are regional frameworks, state bills, and sector-specific rules, all moving at different speeds. Across all of them, the same six questions keep coming up: how to classify risk, when people must be told they're dealing with AI, when humans must stay in control, what data models can use, who's liable for harm, and how workers are protected. Knowing these questions helps you read any new AI law faster, because you'll know what to look for. It also helps you prepare your organisation before the rules apply to you. On the RegulatingAI podcast, lawmakers, executives, and policy architects debate these questions on the record. 🎧regulatingai.org RegAI | A Knowledge Networks Initiative #RegulatingAI #AIGovernance #AIPolicy #AIRegulation #ResponsibleAI #Flashcast

This Halloween, the scariest AI monster isn’t hiding in the shadows. It’s humming in a server room🎃 Behind every AI-generated image, complex prompt, and instant response lies an invisible cost: the energy and water needed to power and cool data centres. The future of AI isn’t just about what it can create. It’s also about what it consumes. The scariest thing about AI might be the thing we never see. Explore the conversation around AI, policy, and accountability with AI on the Ballot.🗳️ aiontheballots.com/ AI on the Ballot | Regulating AI #AIOnTheBallot #ArtificialIntelligence #AIPolicy #MidtermElections2026 #ResponsibleAI #PublicPolicy

The rules shaping AI don’t write themselves. The AI Policy 100 recognizes 100 leaders whose work, influence and reach are shaping the evolving AI policy landscape across jurisdictions. A recognition grounded in influence, impact and public record. 100 leaders. One recognition. A growing global policy landscape. Explore the AI Policy 100 → regulatingai.org/ai-policy-1… #AIPolicy100 #AIGovernance #AIPolicy #AIRegulation #ResponsibleAI

🤖 AI agents can act, decide, and create consequences. But when something goes wrong, who is accountable? Microsoft President Brad Smith is calling for stronger AI safety rules, incident reporting, and clear legal obligations. The debate is no longer just about what AI can do, but how it should be governed. As AI capabilities expand, accountability cannot be an afterthought. Who should be responsible when an AI system causes harm? Share your perspective below. Follow RegulatingAI for updates on the policies shaping AI’s future. Policy. Experts. Intelligence. 🌐 #AIPolicy100 #AIGovernance #AIPolicy #AIRegulation #ResponsibleAI

What would you ask Professor @SandraWachter5 ? 🎙️ From AI ethics and algorithmic fairness to data privacy and accountability, this is your chance to ask the questions that matter. Professor Sandra Wachter, Professor of Technology and Regulation at the University of Oxford’s Oxford Internet Institute, joins the RegulatingAI Podcast for a conversation on the critical questions surrounding AI and its regulation. Your question could be featured on air! #RegulatingAI #AIRegulation #ArtificialIntelligence #AIEthics #SandraWachter #KnowledgeNetworks #AIandSociety

Seven out of ten websites. One security flaw. A potential global cyber threat. A vulnerability in PHP, a programming language widely used to run websites, has raised concerns about cyberattacks targeting government agencies and financial institutions. As hackers look for ways to exploit weaknesses, even a single unpatched flaw can create risks far beyond one website. The lesson is clear: cybersecurity requires early detection, timely updates, and proactive risk management. In an AI-driven world, responsible innovation must go hand in hand with security. Follow RegulatingAI for insights on AI governance, emerging risks, and responsible technology. #RegulatingAI #Cybersecurity #ArtificialIntelligence #AIGovernance #ResponsibleAI #DigitalSecurity

Who shapes the rules, frameworks, and decisions that will define AI? 🌐 The AI Policy 100 recognises 100 individuals whose work is contributing to the evolving AI policy landscape across jurisdictions and institutions. More than recognition, it offers a global reference point for policy influence, impact, and engagement, bringing visibility to the people shaping the future of AI governance. AI Policy 100 Recognising the people shaping AI governance. regulatingai.org/ RegAI | A Knowledge Networks Initiative #AIPolicy100 #AIGovernance #AIPolicy #AIRegulation #ResponsibleAI

What it takes to make the AI Policy 100 30% Rule-Making Influence 25% Scope of Impact 20% Current Activity 15% Cross-Jurisdiction Reach 10% Public Engagement Five measures. 100 places. One benchmark for AI policy influence. 🔎 Explore the full list → regulatingai.org/ai-policy-1… An initiative of Knowledge Networks, through RegulatingAI. #AIPolicy100 #AIGovernance #AIPolicy #AIRegulation #ResponsibleAI