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Ex-Corporate Privacy Lead - Built Privacy & AI Consultancy

EXACTLY 12 MONTHS AGO, I WALKED OUT OF CORPORATE FOR THE LAST TIME. LOOK AT WHAT HAPPENED NEXT. BACK FROM MALTA! 🇲🇹 Staring out at the waves on a Maltese beach this past week gave me something I rarely allow myself enough time for… Perspective. This time last year, I was finishing my final day as a corporate employee after almost a decade in the industry. Today? Here's what that leap has led to. 👇 BUILT a Privacy & AI Governance consultancy, secured some fantastic initial clients and developed a pipeline of opportunities I could only have dreamed about. ANNOUNCED a new course designed to help Data Protection Officers transform their careers and become more confident in their roles. LAUNCHED #LetsTalkPrivacy podcast now globally charting, with listeners in 80+ countries and Episode 48 dropping tomorrow! 48 episodes in just 38 weeks. Audio, video, long-form, short-form. We're building something different. EXPLORED opportunities in Dubai and Abu Dhabi, established strategic collaborations and laid the groundwork for what could eventually become a new chapter for my family in the UAE. GROWN my personal brand through podcast appearances, a radio interview, collaborations with authors and entrepreneurs, speaking opportunities and networking across the country. INVESTED in myself through continued professional development in privacy, AI, business and property. And through all of this, I've continued striving to be the husband, father, son, brother and uncle I want to be. Just 10 months after setting up my Ltd company AS Privacy & AI Solutions LTD | Trust-Technology-Transformation in December 2025. 9 months after launching the #letstalkprivacypodcast. Let that sink in. But here's the lesson I want to share. The secret sauce isn't having everything figured out. It's learning to make decisions. Even when you're uncertain. Even when you're not 100% committed. Even when the outcome isn't guaranteed. I've been building my decision-making muscles. Because decisions determine direction, Direction determines strategy and strategy determines how quickly you get where you want to go. The right decision can save you years. The wrong one can cost you them. I'm now building towards 2027 with ambitious plans: Strategic brand sponsorships for the podcast. High-calibre consultancy clients aligned with my values Growth into international markets. More meaningful conversations with incredible people. If you're a brand looking to reach a global privacy, AI and digital trust audience… let's talk. If your organisation needs practical Privacy & AI Governance support… my DMs are open. And if you're an expert with a story, a perspective or a lesson worth sharing on Let’s Talk Privacy… I'd love to hear from you. The next chapter is going to be BIG. But I want to leave you with something my mum told me before I made the decision to leave corporate. Something I've carried with me ever since: ❤️ "You live once, it's not a dress rehearsal. Take the shot."

School Leaders & NGO Staff - AI Adoption Challenges Across Sectors

Everyone is talking about AI in schools. But who’s listening to school leaders? This question had been on my mind, and I am thankful to Anthropic x Global School Leaders for inviting me to their event in New York, focused on school leaders in conversations about AI and education. My policy training has taught me to be cautious about assuming that an intervention that works in one place will work just as well in another. In research, this connects to questions of external validity and policy transfer.Evidence matters, but so does context. I saw a version of this challenge in an intervention I developed, focused on school administration in Tanzania. The question was not simply if administrators could be given educational materials or training. It was whether those resources would be enough to address their needs, or whether an effective intervention would also require time, ongoing support, and a better understanding of the challenges faced in their day-to-day work. I think the same principle applies to AI in education! Having been in school when the modern AI boom happened, I know that a tool may be technically impressive, but school leaders still need to evaluate its relevance, safety, privacy implications, and educational value. Teachers need time and support to incorporate it into their work. And schools need the infrastructure and resources to use it effectively. These needs will look different across contexts, which is precisely why local input and evidence should shape implementation from the beginning. This question extends beyond education.... Which is why I’ve been interviewing NGOs about how they currently use AI. I’m working on an article bringing these perspectives together, with a focus on the realities of AI adoption in organizations working on social impact. Follow along for updates.If you work with schools, NGOs, foundations, or technology organizations, I’d love to hear what you’re seeing. 📍Anthropic office, NY with Asha Dhakad #aispecialist #educationpolicy #aigovernance #globaldevelopment #effectivealturism

Canadian Healthcare Innovators - Voices of Innovation Canada

🍁 Canada is doing remarkable work in healthcare innovation. Now we want to help tell those stories. Submissions are officially open for Voices of Innovation Canada, a new Canadian edition of the Voices of Innovation series, building on Ed Marx’s original 2019 healthcare bestseller. I’m proud to be working on this Canadian edition alongside Edward Marx, Robyn Fulkerson and Sakshika D. with the goal of bringing together voices from across the country who are actually changing how healthcare is delivered. This is not simply a book about technology. It is about the people, organizations and ideas moving Canadian healthcare forward. We want to hear about innovations that solved real problems, created measurable change and produced lessons that other healthcare organizations can learn from. We are looking for stories from healthcare leaders, clinicians, physicians, nurses, researchers, digital health professionals, innovators, entrepreneurs and others working across areas such as: • Artificial intelligence and automation • Data, analytics and learning health systems • Digital health and clinical information systems • Interoperability and connected care • Patient and clinician experience • Virtual care and new models of care • Workflow and clinical transformation • Innovation adoption and scaling • Governance, privacy and responsible innovation • And other examples of meaningful healthcare transformation The book is structured around the HIMSS Innovation Pathways, with contributors sharing practical stories of successful innovation from their organizations. Essays submitted for consideration are 1,500 to 3,000 words, and the Canadian edition is planned for release in 2027. If you have been part of something that changed healthcare for the better, this is an opportunity to document it, share what you learned and add your voice to a broader Canadian story. Visit the dedicated Voices of Innovation Canada page to learn more about the book: Voices of Innovation Canada https://lnkd.in/g8ugVuWR Then, when you are ready, submit your essay here and select VOI: Canada: Submit your essay for Voices of Innovation Canada https://lnkd.in/gUiG4XYn Some of the best innovation stories in Canadian healthcare have never been properly told. We want to change that. What innovation story should Canada be sharing with the world? Digital Health Canada HIMSS HIMSS Eastern Canada Chapter (HIMSS Section de l’Est du Canada) HIMSS Canadian Prairies Chapter HIMSS Global Health Conference & Exhibition HIMSS British Columbia Chapter Canadian Institute for Health Information (CIHI) Canadian Health Information Management Association - CHIMA Michael B. Decter The Hon. Tony Clement TECHNATION Canada Health Infoway Alan John Forster Muhammad Mamdani Ted Scott Jennifer Zelmer Terence Tang André Picard Jerry Zeidenberg Dr. Dante Morra Colin Hung Gary Ryan Chris C. Anderson Elizabeth Toller Anne Snowdon Adalsteinn (Steini) Brown

Frontier AI & National Security Experts - Governing AI Without Trust

Can we build a global AI safety regime when the U.S. and China do not trust each other? In my new Fortune piece, I argued that the answer is yes. In fact, that should be the starting point for the model. Most discussions of international AI governance start with the question of how to get countries to agree on shared principles. I think that may be the wrong question. The U.S. and China are unlikely to agree anytime soon on privacy, surveillance, censorship, military use, or the values advanced AI systems should serve. They do not need to agree on all of that. They need to agree on a small number of scenarios neither side wants to see: systems capable of autonomous replication, accelerating the development of their own successors, evading oversight, or enabling catastrophic biological or cyber harm. In my new #Fortune piece, I propose a different approach to AI governance: Don’t build it on trust. Build it to work when trust is absent. The model rests on three elements: agreed early warning indicators, independent technical verification, and real consequences when commitments are violated. It draws on lessons from another system I spent years working in: the global fight against money laundering, terrorist financing, and proliferation financing. Countries in that system did not always trust one another. It worked because trust was not a prerequisite. What mattered were agreed rules, professional assessment, and consequences. The Fortune piece is a first attempt to translate that logic to frontier AI. I’d especially like to hear from people working on frontier AI, AI safety, national security, compute governance, and international coordination. There are still hard design questions to solve, and I’m now working on turning this into a much more concrete model. Governing AI Without Trust #AIGovernance #AISafety #FrontierAI #ArtificialIntelligence #Geopolitics #recursive

fortune.com logofortune.com

Cybersecurity Companies & Experts - AI Scams & Consumer Safety

Calling all cybersecurity experts and organizations. 👋HI! Over the past few weeks, I’ve received quite a few requests from reporters looking for cybersecurity experts who can speak to the threats consumers and businesses are facing right now. And the timing couldn’t be better to build a proactive media strategy around this conversation. October is Cybersecurity Awareness Month, which gives us an entire month of timely opportunities to educate audiences about online safety, scams, data privacy and the rapidly changing cyber landscape. With the growth of AI, these conversations are becoming even more important. From AI-powered scams and increasingly sophisticated phishing attempts to identity theft, data breaches and the everyday steps people and businesses can take to protect themselves - reporters need credible experts who can break these issues down in a way audiences can actually understand. So, I’m looking to connect with cybersecurity companies, organizations and experts who want to position themselves as go-to media resources in this space and I want to think bigger than one interview or one media tour. Think national and local broadcast. Digital and streaming. Radio. Podcasts. Bilingual media. October gives us the timely hook, but the goal is to build relationships and visibility that continue long after Cybersecurity Awareness Month ends. The timeline is now. September is the time to develop the messaging, identify the strongest consumer and business angles, prepare spokespeople and begin outreach so we’re positioned for opportunities throughout October and beyond. If your organization has an expert who can speak to cybersecurity, AI and emerging threats, or you know someone who should be part of this conversation, I’d love to connect. Contigo PR & Media Consulting: With you. Aligned with your vision. Evolving together.

AI Governance Leads - De-Risking AI Adoption

⚡ Workday is in federal court over its AI hiring tools. A federal court has allowed key AI hiring discrimination claims to move forward, and has held that a technology vendor performing delegated hiring functions can potentially be treated as the employer's agent. The employer cannot call it a vendor problem. The vendor cannot say it only sells software. 👉 Here is what should concern every enterprise. That system almost certainly passed reviews. Security can review the controls. Legal can assess liability. Risk can sign off. Privacy, audit and the business can each reach a defensible conclusion. But those individual reviews do not automatically answer the enterprise question: Have the risks that actually matter been reduced enough for this AI system to proceed? Different functions seeing different risks is not a governance failure. That disagreement is healthy. The failure is when there is no mechanism for bringing those risk views, the evidence, and the residual exposure together into one defensible decision. An AI system can pass every review and still not have a risk-based approval decision. If your organization is wrestling with how to make that decision in practice, I would like to hear from you. I write about this in De-Risking AI Adoption, publishing September 15. Sign up for my newsletter and you will hear first when it is available, along with the thinking behind it. Link in the comments. #AIGovernance #AIRisk #AICybersecurity

Organisational Psychologists - Longitudinal Human Intelligence Study

I want to introduce an idea that is becoming increasingly important to our work at Emva: Longitudinal human intelligence. Organisations have become extraordinarily good at measuring outcomes. Performance. Engagement. Retention. Productivity. Absence. Wellbeing. But much of what we know about the humans producing those outcomes still comes from snapshots. A survey tells us how someone felt when we asked. An interview reconstructs what happened. A performance metric records the result. But human beings don't exist as snapshots. We move. Our emotional states change. We respond to environments. We recover. Patterns repeat. Behaviours reinforce one another. And across teams and organisations, some of those patterns eventually become culture. What becomes possible if we can study that movement over time? That's the idea I explore in this new article. I look at how longitudinal observation could give individuals, practitioners and organisations a different way of understanding human dynamics — moving from isolated states towardtrajectories. And then I take the argument further. What happens when longitudinal observation meets simulation? Observe → model → simulate → intervene → observe again. That creates something I'm particularly interested in: the possibility of testing computational models of human behaviour against what subsequently happens in the real world. Not simply generating convincing explanations. Testing hypotheses. Learning from interventions. Discovering where the model is wrong. And improving our understanding of human systems through evidence accumulated over time. There are profound opportunities here for organisational psychologists, coaches, wellbeing practitioners, researchers, People leaders and organisations navigating complex change. There are equally important questions around consent, privacy and the boundary between useful organisational intelligence and employee surveillance. I explore both. If you work with human systems — or lead one — I think this is worth reading. And if you believe your organisation, practice or research environment could contribute to this next stage of the work, I'd particularly like to hear from you. 👇 #LongitudinalHumanIntelligence #HumanSystems #OrganisationalPsychology #OrganisationalDevelopment #PeopleAnalytics #WorkplaceWellbeing #BehaviouralScience #EmotionalIntelligence #Leadership #FutureOfWork #Simulation #HumanScience #EMTM

Chile AI Security & Governance Experts - National AI Guide

🇺🇸 The challenge of AI is no longer simply adopting it. It is governing it when it starts to decide, recommend, and act. And that challenge cannot be addressed by a single organization, discipline, or country. From the AI Security & Governance Commission of the Chilean Chamber of Artificial Intelligence (CCHIA), together with its 36 members, we are developing the AI Governance & Security Guide for Chile. And we want to bring into this process the perspectives of experts from Chile and around the world. 🌎 Why open this conversation? Because a guide that aims to become a meaningful reference must connect operational experience, research, regulation, security, and industry expertise. We want to hear from those who are currently: → Implementing AI across large organizations and startups → Protecting systems, data, and critical infrastructure → Shaping public policy and regulation → Conducting research at universities and academic institutions → Assessing legal, ethical, and societal risks → Auditing automated systems → Building AI models, platforms, and agents → Making decisions across boards, technology, risk, compliance, data, and cybersecurity We do not want this guide to remain at the level of principles alone. We want it to help answer questions that are already reaching boards, CISOs, developers, auditors, and regulators: ❓ Who is accountable when an automated system makes the wrong decision? ❓ What controls should be in place before AI goes into production? ❓ How should we govern AI agents capable of taking actions across real-world systems? ❓ What evidence should a board, regulator, or auditor require? ❓ How do we protect data, people, and organizations without slowing innovation? Our ambition is clear: Chile should not only stand out for adopting Artificial Intelligence. It should also be able to demonstrate that the AI it uses is secure, governable, and auditable. And we believe that a national reference of this nature must be built by listening to diverse voices. If you work in AI, AI Security, cybersecurity, data governance, privacy, regulation, compliance, audit, risk, ethics, public policy, academia, infrastructure, model development, or agentic AI systems, whether in Chile or anywhere in the world: we want to hear your perspective. 👉 Comment “GUIDE” or send me a DM to participate in the collaboration and review process. 🔁 And if you know someone whose expertise should be represented in this conversation, share this post or tag them in the comments. We do not want to build a guide simply to talk about the future of AI. We want to build a guide that is useful for those already facing it. 🇨🇱

Data Stewards - Collibra Alation Purview Atlan Informatica IBM

THE BEST DATA GOVERNANCE PLATFORM DOESN’T EXIST. Collibra. Alation. Microsoft Purview. Atlan. Informatica. IBM. Ask which one is best and you’ll probably get six different answers. And strangely enough, they may all be right. Because the better question isn’t: “Which Data Governance platform is best?” It’s: “Which one is right for the governance problem we are trying to solve?” I took a closer look at six of the major options and what they are emphasizing today. Collibra Governance is at the center: stewardship, policies, workflows, catalog, lineage, data quality and increasingly AI governance. Alation Strong emphasis on helping people find, understand and trust data through discovery, catalog, governance, lineage and data quality. Microsoft Purview Especially relevant to Microsoft-heavy environments, with Data Map and Unified Catalog supporting domains, data products and data health alongside Microsoft's broader security and compliance capabilities. Atlan Built around active metadata, lineage, collaboration and governed context — increasingly including the context AI systems need to work safely with enterprise data. Informatica A broader enterprise data-management ecosystem where governance sits alongside catalog, lineage, data quality, privacy, MDM and integration. IBM watsonx.data intelligence Brings governance and catalog, data quality, lineage and data products together to provide trusted business context for enterprise data and AI. But product capabilities are only half the story. The part I'm much more interested in is the part we rarely see in a product demo: What happened when you actually implemented it? Did people adopt it? Did your Data Owners and Stewards actually use it? What took longer than expected? What looked easy in the demo but wasn't? What do you love about it? What drives you crazy? And the big one: Did the technology make governance better — or did it simply digitize governance problems you already had? That's why I haven't ranked these platforms. Different architecture. Different maturity. Different people. Different regulatory environments. Different problems to solve. Different answer. If you've actually worked with Collibra, Alation, Purview, Atlan, Informatica or IBM, I'd love to hear from you: What is ONE thing you know now that you wish you'd known before implementation? Let's build the part of the comparison the vendor websites can't give us. #DataGovernance #DataManagement #DataCatalog #DataQuality #DataLeadership

Student Content Creators - Algorithmic Pressure From TikTok & YouTube

CALL FOR SOURCES | STUDENT CONTENT CREATORS & ALGORITHMIC PRESSURE FROM TIKTOK AND YOUTUBE Are YouTube and Tiktok boosting creators views in their lowest moments? For an upcoming investigative feature for the NCTJ Excellence Awards, I am looking to speak with student content creators about how platform recommendation algorithms interact with personal mental health or highly emotional videos on TikTok and YouTube. Many creators report a frustrating cycle: when they post a raw, vulnerable video during a tough period at university, the algorithm rewards it with thousands of views. But when they try to heal and post normal, happier content, their reach suddenly plummets, leaving them with an unspoken pressure to "stay sad” online just to maintain an audience or cover tuition. Backed by recent social science research from the University of Iowa regarding algorithmic grievance loops, this piece shifts the lens away from viral luck and onto the algorithms of big tech social media platforms. Your privacy is my absolute priority. In accordance with ethics and IPSO guidance on sensitive health disclosures, all case studies can be fully anonymized with pseudonyms to protect your personal and professional future. **How to reach out:** > Want to get involved or want more information? Drop me a DM here or email me directly at [email redacted] for a totally informal, no-pressure chat. Even if you just want to ask a few questions first, my inbox is open. #journalism #investigativejournalism #mentalhealth #universitylife #contentcreator

Pastors & Ministry Leaders - AI Use, Ethics & Congregational Trust

I am working on the next edition ofBeyond the Prompt, and my research has taken me into a different setting: the church. Research already exists that examines artificial intelligence and the church, and some churches and ministry organizations have begun considering how AI can be adopted responsibly. I am interested in what is happening beyond the research. What are you actually seeing in churches? Are churches using AI in their day-to-day operations? Are pastors and staff receiving training? Are policies being developed to address privacy, transparency, or the use of congregational information? Who is making decisions about when AI should and should not be used? I am also interested in the ministry implications. How are churches distinguishing between AI used for administrative support and its use in pastoral or spiritual functions? What happens to trust when AI-generated material enters ministry without disclosure? COVID accelerated digital transformation for many churches. AI may represent another significant technological transition, raising new questions about organizational readiness, leadership, ethics, and trust. I would especially like to hear from pastors, ministry leaders, church staff, technology professionals, and church members. What is your experience? What questions should churches be asking now that they may not be asking yet? #BeyondThePrompt #ArtificialIntelligence #ChurchLeadership #ResponsibleAI #ChangeManagement

Veterans Nationwide 2020-Present - VA FOIA & Disruptive Behavior

I just published a new article asking a question that deserves a documented answer: 𝑾𝒉𝒂𝒕 𝒉𝒂𝒑𝒑𝒆𝒏𝒔 𝒘𝒉𝒆𝒏 𝒂 𝒗𝒆𝒕𝒆𝒓𝒂𝒏 𝒆𝒙𝒆𝒓𝒄𝒊𝒔𝒊𝒏𝒈 𝑭𝑶𝑰𝑨 𝒐𝒓 𝑷𝒓𝒊𝒗𝒂𝒄𝒚 𝑨𝒄𝒕 𝒓𝒊𝒈𝒉𝒕𝒔 𝒃𝒆𝒄𝒐𝒎𝒆𝒔 𝒆𝒏𝒕𝒂𝒏𝒈𝒍𝒆𝒅 𝒘𝒊𝒕𝒉 𝒕𝒉𝒆 𝑽𝑨’𝒔 𝑫𝒊𝒔𝒓𝒖𝒑𝒕𝒊𝒗𝒆 𝑩𝒆𝒉𝒂𝒗𝒊𝒐𝒓 𝑷𝒓𝒐𝒈𝒓𝒂𝒎? I am looking for veterans nationwide who, 𝐟𝐫𝐨𝐦 2020 𝐭𝐨 𝐭𝐡𝐞 𝐩𝐫𝐞𝐬𝐞𝐧𝐭, had a FOIA request, Privacy Act request, records-amendment effort, or records-access dispute intersect with a 𝐃𝐢𝐬𝐫𝐮𝐩𝐭𝐢𝐯𝐞 𝐁𝐞𝐡𝐚𝐯𝐢𝐨𝐫 𝐂𝐨𝐦𝐦𝐢𝐭𝐭𝐞𝐞, 𝐃𝐁𝐑𝐒 𝐫𝐞𝐩𝐨𝐫𝐭, 𝐁𝐞𝐡𝐚𝐯𝐢𝐨𝐫𝐚𝐥 𝐏𝐚𝐭𝐢𝐞𝐧𝐭 𝐑𝐞𝐜𝐨𝐫𝐝 𝐅𝐥𝐚𝐠, 𝐎𝐫𝐝𝐞𝐫 𝐨𝐟 𝐁𝐞𝐡𝐚𝐯𝐢𝐨𝐫𝐚𝐥 𝐑𝐞𝐬𝐭𝐫𝐢𝐜𝐭𝐢𝐨𝐧, 𝐨𝐫 𝐰𝐨𝐫𝐤𝐩𝐥𝐚𝐜𝐞-𝐯𝐢𝐨𝐥𝐞𝐧𝐜𝐞 𝐩𝐞𝐫𝐬𝐨𝐧𝐧𝐞𝐥. This is not speculation. I have already identified six veterans across three VISNs whose records-access matters intersected with the disruptive-behavior system. Four of those matters involved the same FOIA/Privacy official over a period of years. The article explains why that pattern matters. VA has provided a national-office declaration describing aspects of how DBRS has functioned from 2024 forward. But that leaves an important 2020–2024 gap in which the process has not been comparably certified. I want to determine what actually happened during that period—and whether veterans subjected to disruptive-behavior monitoring were also routed through a specialized or coordinated process when they attempted to access or correct the records being maintained about them. The goal is evidence, not accusation. If the pattern has an ordinary administrative explanation, the records should show that. If it reflects a national practice affecting veterans’ Privacy Act rights, the records should show that too. Either way, veterans should be able to find out what information the government keeps about them, who can retrieve it, how it is used, and how an inaccurate record can be challenged. Please read and share the article. If your own VA records-access experience from 2020 to the present involved DBRS, a DBC, a behavioral flag, or VA workplace-violence personnel, I would especially like to hear from you. Do not place private medical information or identifying documents in the public comments. #Veterans #PrivacyAct #FOIA #VeteransAffairs #DBRS #VAAccountability #PatientRights #GovernmentTransparency #CivilLiberties

Architects & Therapists - Childhood Home Influences On Adult Spaces

I've been thinking about a question that sits at the intersection of psychology, design, and our relationship with the built environment: What did you create in your adult home that was missing from the home you grew up in? Maybe it was privacy. Beauty. Stability. Order. Nature. Warmth. A place to retreat. A table where people gather. Space to make things. Or simply the freedom to decide what your surroundings looked and felt like. I'm becoming increasingly interested in the possibility that some of what we think of as aesthetic preference may also have a personal history—and in how the environments we create can contribute to psychological safety, restoration, and nervous-system regulation. ThroughSpatial Instincts, I'm beginning an independent interview and writing project exploring these questions more deeply. I'm interested in hearing from people who recognize this pattern in their own lives, and I'd also love to connect witharchitects, designers, psychotherapists, environmental psychologists, neuroscientists, researchers, artists, and educatorswhose work intersects with these ideas. I'm especially interested in conversations around personal history and place, psychological safety, sensory experience, environmental psychology, neuroaesthetics, and the ways environments can support well-being. If this connects with something you've experienced, studied, designed, or observed professionally, I'd love to hear from you.

Miami Elevator Engineers & Roboticists - Humanoid Elevator Priority

MIAMI 2035: THE HUMANOID CITY — EPISODE 2 WHO GETS THE ELEVATOR? 🤖🛗🏙️ Here’s the first practical problem I keep coming back to: If humanoids become common in high-rise living, how do they move vertically without making life worse for humans? This is no longer completely theoretical. KONE already has technology allowing service robots to call and operate elevators autonomously. Schindler has developed robot-building logistics systems designed to let autonomous robots move through elevators and buildings. So parts of the technology already exist. But are our buildings—and our rules—ready? Imagine a 40-story Brickell tower. 500 residences. Eventually, perhaps 100 households have humanoids. At 8 AM, residents are leaving for work while robots are collecting groceries, delivering packages, or moving between floors. Who gets priority? A humanoid-ready tower may eventually need: • Robot-to-elevator communication • Independent machine credentials • Human-priority scheduling • Robot waiting areas • Floor-by-floor permissions • Emergency overrides • Congestion management And maybe we eventually need something entirely new: An Autonomous Mobility Core A dedicated circulation system for humanoids, deliveries, and robotic building services. Or maybe intelligent scheduling lets humans and humanoids safely share the same elevators. Then comes the harder question. An elderly resident, a parent with a stroller, and three humanoids are waiting. Who goes first? Should human priority be written into the software? Should the HOA decide? The developer? The robot manufacturer? Or local government? That is what Miami 2035: The Humanoid City is about. Starting the infrastructure conversation before the technology arrives at scale. I want to hear from elevator engineers, architects, developers, roboticists, accessibility experts, condo professionals, and policymakers: 1. Should humanoids share passenger elevators? 2. Should humans always have priority? 3. Should future towers have dedicated robot circulation? 4. Who should establish the rules? 5. What problem am I not thinking about yet? I’m developing these conversations into a broader Humanoid-Ready Building framework for Miami, and I’m looking for people willing to challenge, improve, and collaborate on the idea. NEXT: DOES YOUR ROBOT NEED A KEY? Identity. Access. Privacy. And who gets permission to go where. #Miami2035 #HumanoidCity #HumanoidRobotics #MiamiRealEstate #Brickell #FutureOfCities #SmartBuildings #PropTech #AI #PhysicalAI #Robotics #Architecture #UrbanPlanning #MiamiDevelopment #ConTech #FutureLiving

CISOs & IT Leaders - AI Resilience & Agent Consent

Double whammy of #journorequests this morning 🙏 both for IT Pro. The first is about AI resilience and the second is about consent in the age of AI. Can anyone help? 🤖 AI resilience 📆 Deadline: 3 August "AI resilience" is everywhere at the mo, from the OpenAI Foundation's $25bn commitment to enterprises racing to build recovery and governance tools for AI agents. I want to get past the buzzword and into what this actually means for teams now. Keen to hear from: – CISOs or IT leaders who've built an AI governance or resilience programme – Cybersecurity/backup vendors working on AI-specific tooling – AI safety researchers and analysts covering this space Example qus: what does an AI resilient stack look like? Is this a new discipline, or cyber resilience wearing a different hat? And what are most enterprises still getting wrong? ✅ Consent in the age of AI 📆 Deadline: 10 August Cookie banners etc. were built for a "one and done" model, but agents on Copilot, Agentforce, MCP-connected tools et al. need permission before every action. I want to know what agent-ready consent needs to look like and whether businesses can actually prove what an AI agent was permitted to do at the moment it acted or not. Would like to speak to: – IT and compliance leaders dealing with agent access and permissions – Data protection or privacy specialists working on consent frameworks – Identity and access management vendors building for agentic tools Questions: Can businesses audit what an agent did and why? What does agent-ready consent look like? Where are today's frameworks breaking first? What happens when we hand over the keys of consent to the machines? Feel free to DM or email [email redacted] #AIresilience #enterpriseIT #cybersecurity #ITjourno #AIagents #dataprivacy

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