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The Human Ai Institute®

The Human Ai Institute®

Think Tanks

The purpose of the Human Ai Institute® is to share knowledge, insight, ideas & challenge in the Human-centric Ai space

About us

Welcome to the Human-Ai.Institute - a "Think & Do Tank" bridging Human and AI development, specifically but not exclusively international policy development - predominantly within the UN system. This purpose of this group is to gather & exchange knowledge, insight, ideas & challenges in the Human-centric Ai (Artificial intelligence) space. Some of this will ultimately serve to inform & pro-actively shape global policies, where necessary, Regulation by addressing Human rights & Fundamental rights issues that are impacted by emerging Artificial intelligence, Neurotechnology and Robotics technologies. We are coming from an ethics & value-driven perspective and are looking at developing Human-centric Ai governance frameworks. The Human AI Institute is a proud founding member of the United Nations University AI Network (UNU AI Network): https://aimacau-2024.org/UNU-AI-Network-Member/

Website
http://www.Human-Ai.Institute
Industry
Think Tanks
Company size
2-10 employees
Headquarters
London
Type
Nonprofit
Founded
2020

Locations

Updates

  • The Human Ai Institute® reposted this

    BBNJ Clearing-House Mechanism Introduction The High Seas Treaty (BBNJ) just entered into force in January 2026 🌊 And here's what most people don't know: Its success depends on a Clearing-House Mechanism—a digital platform that will become the backbone for ocean governance beyond national jurisdiction. This is where ScubaVerse's Marine DPI work intersects with global treaty infrastructure. The BBNJ Clearing-House Mechanism (CHM) will: 🗂️ Register marine genetic resource activities 📊 Share environmental impact assessments 🤝 Enable capacity-building and technology transfer 🔗 Connect gene banks, databases, and research repositories But here's the challenge: #SIDS need the capacity to CONTRIBUTE to this system, not just consume from it. That's why our Marine Digital Twin platform (bbnjchm.com) is designed to feed SIDS-generated reef data directly into the CHM—ensuring island nations are DATA CREATORS in the treaty's implementation. Governance infrastructure only works when those most affected can actively participate. Learn more: bbnjchm.com #BBNJ #HighSeasTreaty #MarineDPI #SIDS #OceanGovernance #BlueEconomy #DigitalInfrastructure #UNOcean #ScubaVerse #ClearingHouseMechanism Joao Sousa Dr. Philbert Aaron Markus Krebsz The Human Ai Institute® High Seas Alliance

  • The Human Ai Institute® reposted this

    UN STI Forum Panel - IAAI/Glocha Side Event Earlier this month, I had the privilege of speaking at the UN STI Forum (Science, Technology & Innovation) 🇺🇳 As a UN delegate for IAAI/Glocha, I joined a panel discussing how digital public infrastructure can accelerate the Sustainable Development Goals—particularly for Small Island Developing States. The conversation focused on three critical questions: 1️⃣ How do we ensure SIDS aren't just "beneficiaries" of technology—but active co-creators? 🏝️ 2️⃣ What role does Marine DPI play in implementing treaties like BBNJ? 🌊 3️⃣ How can virtual tourism revenue fund climate resilience infrastructure? 🪸 My key message to the room: "#Governance must come before deployment. #DataSovereignty isn't optional—it's foundational. And AI should amplify local expertise, never replace it." Watch the full panel discussion on the UN website and check out my intervention here: https://lnkd.in/egf3kkMq Grateful to IAAI/ GloCha Global Challenges Action Network and Miroslav Polzer for creating space for these conversations, and to the delegates from 80+ member states who've shaped ScubaVerse's governance-first approach and Dr. Philbert Aaron for helping to lead on multilateral alignment. This is what multilateral collaboration looks like when #SIDS lead. #UnitedNations #STIForum #DigitalPublicInfrastructure #SIDS #MarineDPI #SDGs #BlueEconomy #OceanGovernance #BBNJ #IAAI #Glocha #ScubaVerse

  • The Human Ai Institute® reposted this

    📢 [𝐑𝐄𝐏𝐎𝐑𝐓] 3,791 𝐀𝐈 𝐢𝐧𝐜𝐢𝐝𝐞𝐧𝐭𝐬 𝐫𝐞𝐯𝐢𝐞𝐰𝐞𝐝. 𝐙𝐞𝐫𝐨 𝐫𝐮𝐥𝐞𝐬 𝐜𝐡𝐚𝐧𝐠𝐞𝐝. The European Commission reviewed 3,791 AI incidents. It changed zero rules. That is not complacency. It is what happens when a law exists but enforcement has not started. ⚠️ 𝑨 𝑪𝒐𝒎𝒎𝒐𝒏 𝑷𝒓𝒐𝒃𝒍𝒆𝒎 Compliance teams are mapping AI systems to the AI Act right now. The problem is that the rules on high-risk AI systems don't apply yet. Enforcement of the prohibited practices chapter doesn't begin until August 2, 2026. Nine Member States formally confirmed in writing that they see no need to amend anything, not because the law is sufficient, but because there is not enough enforcement experience to evaluate it. Guidelines on classifying high-risk AI systems have just been released. 𝘠𝘰𝘶 𝘢𝘳𝘦 𝘱𝘳𝘦𝘱𝘢𝘳𝘪𝘯𝘨 𝘧𝘰𝘳 𝘢 𝘭𝘢𝘸 𝘵𝘩𝘢𝘵 𝘩𝘢𝘴 𝘪𝘮𝘮𝘪𝘯𝘦𝘯𝘵 𝘢𝘱𝘱𝘭𝘪𝘤𝘢𝘵𝘪𝘰𝘯. 📜𝑾𝒉𝒂𝒕 𝑻𝒉𝒆 𝑹𝒆𝒑𝒐𝒓𝒕 𝑹𝒆𝒗𝒆𝒂𝒍𝒔 The Commission's first annual review, published May 20, 2026, analyzed incidents reported between January 2024 and May 2025. Of 3,791 incidents in the OECD AI Incidents and Hazards Monitor, only around 30% were relevant enough for detailed analysis. Most were already covered by existing provisions. But one gap was formally identified: AI systems that generate non-consensual intimate images and child sexual abuse material. These fall outside the current prohibitions in Articles 5(1)(a) and (b) because those provisions require the AI to manipulate the victim into harmful behaviour. The areas flagged for the next review are where regulatory risk is building. AI therapy and companion chatbots not classified as medical devices are under close monitoring. AI used in tenant screening, social housing access, and insurance products beyond life and health are contested under point 5 of Annex III. AI in political disinformation campaigns falls thematically under point 8 of Annex III but is not listed as a specific use case. Debt collection AI used by energy, telecom, and financial providers is being watched for harms to vulnerable consumers. None of these are prohibited or classified as high-risk yet. All of them have a formal flag on them for the next review. 𝑾𝒉𝒂𝒕 𝑪𝒉𝒂𝒏𝒈𝒆𝒔 𝑰𝒇 𝒀𝒐𝒖 𝑨𝒄𝒕 𝑻𝒐𝒅𝒂𝒚 Organizations that document how their systems work, what data they process, and what harms they could cause are building the evidence base regulators will ask for when enforcement begins. Those treating this period as quiet time are not. The difference between those two positions will be visible the moment the rules apply. August 2026 is not far................. -------------------- Which of the flagged areas is closest to what you work on? Save this if you are tracking the AI Act's compliance timeline. #AIGovernance #AICompliance #ResponsibleAI #CriticalInfrastructure #Railways

  • The Human Ai Institute® reposted this

    Companies are hiring people back after AI failed. But they are doing it quietly, hoping we don't notice. 🤫 Whoops. Over the past two years, we witnessed a masterclass in corporate theater. Companies played to the crowd, joined the GenAI bandwagon, and announced massive layoffs. The narrative? "We are creating AI-driven efficiencies." The shareholders loved it, and stock prices pumped. But behind the scenes, the playbook was an illusion: 1. Hire an expensive management consulting firm. (get lots of cool slides) 2. Implement an AI pilot. (Cross that off the list) 3. Use AI as a strategic fig leaf to lay off workers. (It's just another layoff) 4. Issue a dazzling "AI-First" press release. (Do a victory lap) There was only one problem: The executives pushing this narrative didn't understand that Generative AI is non-deterministic. It is creative and variable. It is a terrible tool for rigid, 100% reliable automation. You couldn't replace a simple, repeatable process with it safely, let alone an entire human tier of workforce. Seriously, you couldn't replace a monkey with GPT. (No offense GPT because I love you) Fast forward to today, and The Great AI Layoff Boomerang is officially underway. The numbers don't lie: 55% of employers now openly regret their AI-driven layoffs due to quality degradation and lost institutional knowledge [1]. 68.3% of companies that cut staff due to AI have already begun quietly rehiring for those exact roles [2]. 52% of those organizations had to start rehiring within just 6 months because their operations began to break so quickly [2]. 75% of organizations found that these AI-driven layoffs actually ended up costing their bottom line rather than saving money [2]. We saw the cracks early on with companies like IBM and Klarna. But this isn't an isolated tech trend; it’s a systemic corporate correction impacting thousands of enterprises. Gartner projects that 50% of organizations that cut customer service staff due to AI will completely rehire for those functions by 2027 [3]. AI 2.0 will emerge and we will see a shift to augmentation and making work better, not just faster. We will get back to building, not dismantling. We will get back to viewing the enterprise as a value creation engine, not an ATM machine to extract short-term cash. The pendulum is swinging back. The rehires are happening. They just aren't holding press conferences for it this time. --- The trick with technology is to avoid spreading darkness at the speed of light Stephen Klein is Founder & CEO of Curiouser, building AI that augments people and encourages critical thinking. To try Alice or Looking-Glass visit us (link in comments) (visual courtesy of Gemini) Sources:[1] Forrester Research, "Predictions 2026: The Future of Work"[2] Careerminds / HRD Global Study (Feb 2026), polling 600 HR executives[3] Gartner Research, Customer Service & Support Forecast (Feb 2026) 

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  • The Human Ai Institute® reposted this

    Europe is being briefed on China by everyone except itself. I spent nearly a decade in Beijing and Shanghai working on China, first inside the Dutch system and then as an entrepreneur. The honest description of that period is not that Europe was getting its China intelligence from the wrong place. Europe was barely producing China intelligence at all. That gap has since been filled, but not by Europeans. The platforms, the models, and the analytic categories that shape how European capitals understand China are built elsewhere. You cannot defend what you cannot see, and Europe cannot see China on its own terms. That is a European responsibility to fix. The piece below sets out three blind spots, and the case for a sovereign European AI-OSINT capability.

  • 📢 Learn from some of the best in AI standardisation 👇 Adam Leon Smith DEng FBCS Enrico Panai

    Enrico Panai has kindly written a guest post on my Substack about prEN ISO/IEC DIS 25029, which focuses on nudging mechanisms enhanced by AI systems. On the same day, my substack just passed 1000 subscribers. Covering all the topics that matter in AI standardisation, in the context of emerging global AI regulations. Link in the comments.

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  • The Human Ai Institute® reposted this

    ‘Irresponsible’: backlash as Utah approves datacenter twice the size of Manhattan Facility would require more power than entire state uses and suck up vast amount of water in drought-stricken area A plan to create one of the world’s largest datacenters, a gargantuan project spanning an area more than twice the size of Manhattan, has provoked a furious public backlash in Utah amid concerns over its vast energy use and impact upon the state’s stressed water supplies. The Stratos artificial intelligence datacenter footprint will cover more than 40,000 acres (62 sq miles) over three sites in Box Elder county in north-western Utah. The facility will require about 9GW of power, which is more than the entire state of Utah currently consumes, and suck up a significant amount of water in an area that has been hit by severe drought in recent years. Last week, the project was approved by the county’s commissioners, despite thousands of objections lodged by Utah residents. Environmentalists have warned that Stratos could imperil the Great Salt Lake ecosystem, including a critical migratory bird habitat, which is already under severe stress. The lake is shrinking due to water diverted for agriculture and the impact of the climate crisis, placing inhabitants of the nearby Salt Lake City at possible risk of toxic dust clouds as the lake bed dries up. “At a time when the Great Salt Lake is already in crisis, approving a project that will consume water and energy at this scale is irresponsible and dangerous,” said Franque Bains, director of the Sierra Club’s Utah chapter. “Utahns want to see the Great Salt Lake restored, not stripped.” The proposed project is backed by Kevin O’Leary, the venture capitalist who appears on the TV show Shark Tank and recently played a villainous tycoon in the movie Marty Supreme. O’Leary has claimed Stratos will deliver thousands of jobs and help the US compete with China in the burgeoning AI industry. “I don’t think there’s a bigger site in the world than this,” O’Leary told Fox News. “It shows the Chinese and the rest of the world we are not messing around, we are going to get this done, move it forward and provide the compute power to our AI companies that defend the country.” https://lnkd.in/e-eHg73R https://lnkd.in/exZgVH5a

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  • The Human Ai Institute® reposted this

    The U.S. Department of Energy in November 2025 mapped every data center in America. This is what the AI power grid actually looks like. Yellow dots are operating. Orange under construction. White planned. The lines are 735kV, 500kV, 345kV transmission are the arteries moving electrons from generators to compute loads. Look at the density. Northern Virginia to the Carolinas. Texas. Northern California. The largest circles represent single campuses pulling over 5,000 MW , more than mid-sized cities. Data centers cluster on transmission corridors. Not because land is cheap. Because power is available. When the line is full, the next data center goes somewhere else. The grid is the bottleneck and if will get deeper Now zoom in on one dot. Utah. Box Elder County. A proposed 40,000-acre AI campus demanding 9 gigawatts , more than the entire state of Utah currently consumes. In one of the most water-stressed regions in the country. And in the same week, Google sitting on roughly $100 billion in cash announced it needed Blackstone to co-fund a $25B AI cloud build. — Every orange dot is a power purchase agreement being negotiated right now. — Every white dot is a utility commission filing, a gas plant approval, a pipeline capacity booking. — The $66.8B NextEra-Dominion deal, Meta's 10 new gas plants in Louisiana, the Alaska LNG FID push , they all trace back to maps that look like this. — Even Alphabet's balance sheet can no longer carry the capex curve alone. Private equity is now a load-bearing wall of the AI stack. This is what the Great Fragmentation looks like in the practical way: Rural counties negotiating like petro-states. Ratepayers quietly financing the compute layer of companies they don't own equity in. The Gulf understood this two years ago. America is discovering it in Box Elder County. I always said that AI race is no longer a software story. It is a power, capital, and sovereignty story which is built in substations, on transmission corridors, and at the end of gas pipelines.

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