AI Ethics & Responsible Technology

Why organisations work with Robert Winston A first-hand pioneer of in vitro fertilisation and the team that, with Alan Handyside in 1990, developed pre-implantation genetic diagnosis at Hammersmith Hospital. Few speakers can explain the genetic revolution from inside the laboratory that built it. Royal Society Michael Faraday Prize winner for communicating science, with three decades of presenting flagship BBC science series, including The Human Body, Child of Our Time and Walking with Cavemen. The translation skill is verified by the audience and by the Society. An active legislator on biomedical policy in the House of Lords, named Peer of the Year in 2008 for his work on the Human Fertilisation and Embryology Bill. Buyers get the scientist, the broadcaster and the lawmaker in one room. Chairman of the Genesis Research Trust, which has raised more than £13 million to fund women’s reproductive health research at Imperial College London. The credentials are operational, not honorary. Biography highlights Professor of Science and Society and Emeritus Professor of Fertility Studies, Imperial College London. Life peer as Baron Winston of Hammersmith, 1995; Labour peer in the House of Lords; Peer of the Year, 2008. Royal Society Michael Faraday Prize, 1999, for the public communication of science. Presenter of BBC series Your Life in Their Hands, The Human Body, Child of Our Time, Walking with Cavemen and The Story of God; The Human Body won three BAFTAs. Chancellor of Sheffield Hallam University, 2001 to 2018; founder of Imperial’s Wohl Reach Out Lab for school-age science. Author of more than 20 books and over 300 peer-reviewed scientific papers on human reproduction and genetics. Biography Pre-implantation genetic diagnosis was developed at Hammersmith Hospital in 1990 by a team including Alan Handyside and Robert Winston. That single breakthrough redrew the moral and commercial map of reproductive medicine: it allowed embryos to be screened for inherited disease, and it forced a generation of legislators, ethicists and clinicians to argue out where the limits of human genetic intervention should sit. Winston was at the centre of that argument, and has stayed there. His credentials are unusually operational. He is Professor of Science and Society and Emeritus Professor of Fertility Studies at Imperial College London. He chairs the Genesis Research Trust, which has raised more than £13 million for reproductive health research at Imperial. As Baron Winston of Hammersmith, he sits as a Labour peer in the House of Lords and was voted Peer of the Year in 2008 for his work on the Human Fertilisation and Embryology Bill, the legislation that defines what is and is not permissible in UK fertility science. The public face is just as substantial. The Royal Society awarded him the Michael Faraday Prize in 1999 for communicating science. Three decades of BBC science programming, including The Human Body, Child of Our Time and Walking with Cavemen, have given him an unusual ability to make complex biology comprehensible to non-specialist audiences. The Human Body alone won three BAFTAs. For organisations, the value is direct. Winston speaks with the authority of a scientist who built the technology, the political experience of a legislator who has to govern it, and the practiced clarity of a broadcaster who has spent thirty years explaining it. Key speaking topics Genetics and the future of human reproduction Ethics of biomedical and reproductive technology Public understanding of science IVF, fertility and pre-implantation diagnosis Innovation in medical research Science policy and regulation Health, ageing and the human body Ideal for Boards and executive teams in pharmaceuticals, biotech, healthcare and medical devices. Healthcare and life sciences leadership conferences, clinical academies and research bodies. Innovation, R&D and technology strategy forums where biomedical ethics is on the agenda. After-dinner audiences at university, livery, professional society and corporate events. Audience outcomes A clear, non-technical account of how genetic science actually works, and where it is going next. Informed perspective on the ethical and regulatory questions that follow from genetic and reproductive technology. Direct exposure to the thinking of a scientist who has shaped both UK fertility law and frontline IVF practice. A sharper sense of how to communicate complex science to non-specialist boards, regulators and publics.

Why organisations work with Nick Bostrom He authored Superintelligence, the text credited with bringing AI existential risk into mainstream policy, technology and boardroom discussion. The vocabulary leaders are now using to debate frontier AI traces back to this work. He led the Future of Humanity Institute at Oxford for nineteen years, a research programme whose alumni now staff AI safety teams at the major frontier labs and policy units in Washington, London and Brussels. His simulation argument and work on anthropic reasoning have made him one of the few philosophers whose primary papers are read inside technical AI research, not just adjacent to it. Deep Utopia, his 2024 follow-up, addresses the strategic question most leadership teams have not yet started on: what an organisation is for in a world where AI systems can perform almost any cognitive task better than humans. He treats AI governance as a question about the shape of the future, not a compliance exercise, which is the register most senior leaders need but rarely get from technical or regulatory briefings. Biography highlights Founding Director of the Future of Humanity Institute at Oxford, 2005 to 2024. Founder and Principal Researcher, Macrostrategy Research Initiative. Author of Superintelligence: Paths, Dangers, Strategies, New York Times bestseller, Oxford University Press. Author of Deep Utopia: Life and Meaning in a Solved World, Ideapress, 2024. Twice named on Foreign Policy’s Top 100 Global Thinkers. Recipient of the Eugene R. Gannon Award; ranked on Prospect magazine’s World Thinkers list as the highest-placed analytic philosopher. Biography Superintelligence: Paths, Dangers, Strategies arrived in 2014 with a thesis few mainstream readers were ready for: that advanced AI systems would, on plausible development paths, present a control problem of civilisational importance. A decade later the book sits on the desks of frontier lab leadership, AI policy officials and the boards of companies whose products now depend on the technology it described. The work came out of the Future of Humanity Institute, which Bostrom founded at Oxford in 2005 and led until its closure in 2024. FHI built the early academic infrastructure for what is now a global field, training researchers who now sit inside OpenAI, Anthropic, DeepMind and the UK AI Safety Institute. His earlier paper on the simulation argument, published in The Philosophical Quarterly in 2003, became one of the few philosophical works to be taken seriously by technical AI researchers and physicists. His 2024 book, Deep Utopia, turns the lens around. The question is no longer whether humanity survives advanced AI, but what people and organisations do in a world where machines can perform almost any cognitive task. For executives whose strategic plans assume scarce human cognitive labour as their basic input, this is the next problem to think about, and very few credible voices have started. Bostrom is now Founder and Principal Researcher of the Macrostrategy Research Initiative, continuing the long-range work on technology, governance and the human future that began at Oxford. Foreign Policy has twice named him among its Top 100 Global Thinkers; Prospect ranked him as the highest-placed analytic philosopher on its World Thinkers list. Key speaking topics Frontier AI and existential risk AI governance and alignment under uncertainty Long-range technology strategy The simulation argument and the limits of knowledge Post-AGI economics and the meaning problem Anthropic reasoning and decision-making under deep uncertainty The future of human enhancement Ideal for Boards and executive teams setting AI strategy and risk posture for the next decade Heads of state, regulators and policy units shaping national AI governance Frontier technology leadership and corporate venture teams Investor and asset-allocator audiences thinking about exposure to AI-driven structural change Audience outcomes A working vocabulary for talking about AI risk, capability and alignment with the same precision used inside frontier labs A clearer view of which AI governance questions are tractable now and which require long-range thinking A grounded sense of how to plan for a post-instrumental economy where human cognitive labour is no longer the scarce input Recognition of how anthropic reasoning and scenario thinking apply to corporate decisions under deep uncertainty Familiarity with the arguments shaping how regulators, AI labs and national security communities are now framing frontier AI

Why organisations work with Mustafa Suleyman Few people in AI both ship the product and frame the public debate. As CEO of Microsoft AI he runs Copilot, Bing and Edge for hundreds of millions of users, while The Coming Wave was shortlisted for the Financial Times and Schroders Business Book of the Year and called Bill Gates’s favourite book on AI. His “containment problem” framework gives boards a working language for asking governance questions about AI without lapsing into either hype or fatalism. He has been inside the founding team of three of the most consequential AI organisations of the past fifteen years: DeepMind in 2010, Inflection AI in 2022 and Microsoft AI in 2024. That operating vantage point on how AI strategy actually gets built is uncommon in the speaker market. A Senior Fellowship at the Belfer Center for Science and International Affairs at Harvard Kennedy School and a board seat at The Economist Group give him sustained credibility on policy and governance, not only on product. Biography highlights CEO of Microsoft AI since March 2024, with responsibility for Copilot, Bing, Edge, MSN and GroupMe. Co-founder of DeepMind (2010), former head of Applied AI; the company was acquired by Google in 2014 in its largest European deal at the time. Co-founder and former CEO of Inflection AI, where he built the Pi assistant with Reid Hoffman and Karen Simonyan. Author of The Coming Wave (Crown, 2023) with Michael Bhaskar: New York Times bestseller; shortlisted for the Financial Times and Schroders Business Book of the Year; book of the year at the Financial Times, the Economist, Bloomberg and the Guardian. Senior Fellow at the Belfer Center for Science and International Affairs at Harvard Kennedy School; board member of The Economist Group. CBE in the 2019 New Year Honours; named to TIME’s 100 Most Influential People in AI in 2023 and 2024; TED main-stage speaker, “What is an AI anyway?” (April 2024). Biography DeepMind, Inflection AI and Microsoft AI are three of the most consequential AI organisations of the past fifteen years. Mustafa Suleyman co-founded two and now runs the third. He co-founded DeepMind in 2010, where he led the applied AI work and the DeepMind Ethics and Society research unit. He went on to co-found Inflection AI in 2022 with Reid Hoffman and Karen Simonyan, building Pi, an assistant designed for emotionally responsive conversation. In March 2024 Microsoft brought him in as CEO of Microsoft AI, with responsibility for Copilot, Bing, Edge and the company’s MAI frontier model team. His public argument turns on the containment problem. It is the task of keeping powerful technologies inside the control of the institutions meant to govern them, even as those technologies become cheaper and more accessible. He developed that argument in The Coming Wave, the book he wrote with Michael Bhaskar. It became a New York Times bestseller and was named a book of the year by the Economist, the Financial Times, Bloomberg and the Guardian. Outside Microsoft, he sits on the board of The Economist and is a Senior Fellow at the Belfer Center for Science and International Affairs at Harvard Kennedy School. Key speaking topics The future of artificial intelligence AI governance and the containment problem Frontier AI development and consumer deployment AI strategy for boards and senior leaders Technology, power and the nation-state The next wave of general-purpose technologies AI safety and alignment Ideal for CEOs and boards setting AI strategy and capital allocation Chief technology officers and chief product officers responsible for AI deployment Government leaders, regulators and policy advisors working on AI rules Senior leaders in financial services, healthcare, media and consumer technology Audience outcomes A working language for talking about AI risk and AI opportunity in the same conversation, anchored in the containment problem A clearer view of what frontier AI labs are actually building, from someone who runs one A sense of where consumer AI is heading over the next two to three years, beyond the current news cycle An honest read on which AI claims are worth taking seriously and which to discount

Why organisations work with Michael G Jacobides He is the academic most directly associated with ecosystem strategy as a formal discipline. His Strategic Management Journal paper “Towards a Theory of Ecosystems” is one of the most-read articles the journal has published, and is the reference point others build on. He gives leadership teams a working language for a question they keep asking badly. Are we an orchestrator, a complementor, or a component, and what does each role earn under AI. His policy work gives the room a regulatory lens most strategy speakers cannot offer. He served as Chief Expert Advisor on the Digital Economy to the Hellenic Competition Commission and contributes to the World Economic Forum’s AI Governance Alliance. He has been ranked on the Thinkers50 list of the world’s top 50 management thinkers in four consecutive cycles since 2019, which is the credential boards recognise without needing to be briefed. His advisory base, BCG Henderson Institute and Evolution Ltd, keeps the content tested against live corporate decisions rather than against the conference circuit. Biography highlights Sir Donald Gordon Professor of Entrepreneurship and Innovation and Professor of Strategy, London Business School. Thinkers50 ranked management thinker in 2019, 2021, 2023 and 2025; Strategy Award shortlist, 2019. Co-Editor, Industrial and Corporate Change. Author of “Towards a Theory of Ecosystems” (Strategic Management Journal) and “How to Compete When Industries Digitize and Collide” (California Management Review, article-of-the-year). Academic Advisor to the BCG Henderson Institute; Lead Advisor of Evolution Ltd; contributor to the World Economic Forum’s AI Governance Alliance. Former Chief Expert Advisor on the Digital Economy, Hellenic Competition Commission. Visiting Scholar, Federal Reserve Bank of New York. Regular contributor to Harvard Business Review, MIT Sloan Management Review, Financial Times and Forbes; commentator for BBC and CNN. Biography The boundary between industries is no longer the boundary between competitors. A bank now competes with a phone, a car company with a software platform, a retailer with an ad network. Jacobides has spent two decades building the academic framework that explains this, and turning it into language strategy teams can use. His paper “Towards a Theory of Ecosystems” in the Strategic Management Journal is the reference point most other ecosystem writing now builds on. The follow-up in California Management Review, on competing as industries digitise and collide, won the journal’s article-of-the-year and is widely used inside corporate strategy functions. The work is academic in origin and operational in use. That dual register is the reason boards book him. He holds the Sir Donald Gordon Chair at London Business School, co-edits Industrial and Corporate Change, and has been ranked on the Thinkers50 list of the world’s top management thinkers across four cycles. He also advises the BCG Henderson Institute, leads the advisory boutique Evolution Ltd, and contributes to the World Economic Forum’s AI Governance Alliance. His former role as Chief Expert Advisor on the Digital Economy to the Hellenic Competition Commission means he reads platform and AI regulation as a participant, not a spectator. What a senior buyer gets in the room is a strategist who can take an executive team from “AI is reshaping our industry” to a specific decision about where in the new value architecture the firm should sit, what it should orchestrate, what it should cede, and what regulators will let it own. Key speaking topics Ecosystem strategy and value migration Generative AI and competitive advantage Digital platforms and industry convergence Orchestrator, complementor and component positioning AI governance and competition policy Business model reinvention under digital disruption Boardroom strategy in technology-driven industries Ideal for Boards and group executive committees redrawing strategy as AI and platforms reshape their industry Chief Strategy Officers, Chief Digital Officers and Heads of Corporate Development assessing ecosystem positioning Banking, telecommunications, FMCG, healthcare and industrial leadership teams facing convergence pressure Private equity and investor audiences pricing platform exposure and ecosystem risk Audience outcomes A working vocabulary for ecosystem roles: orchestrator, complementor, component, and what each earns A clearer view of where AI shifts value inside the audience’s specific industry, not in general A framework for testing current strategy against the way industry boundaries are actually moving Sharper questions for the next board strategy session on platform exposure and regulatory risk A read on how competition policy and AI governance will constrain the playing field

Why organisations work with Max Tegmark He sits at the centre of the global AI safety conversation. As President of the Future of Life Institute, he organised the 2023 “Pause Giant AI Experiments” open letter signed by Yoshua Bengio, Stuart Russell, Elon Musk and more than 30,000 others, and FLI’s policy work fed directly into the EU AI Act. He brings a working physicist’s discipline to AI claims, not a commentator’s. His MIT research group studies the physics of intelligence itself, which lets him tell a board what current systems can and cannot do without selling either fear or excitement. He has shaped how non-specialists think about AI through a New York Times bestseller. Life 3.0 framed the alignment problem and the long-run scenarios for governments, executives and the public, and remains a reference point for senior policy and corporate audiences. He is one of the few speakers TIME placed on its inaugural TIME100 AI list whose authority rests on peer-reviewed research rather than commercial position. He talks to leaders the way he talks to physicists. Specific mechanisms, named risks, concrete governance options, no jargon stack. Biography highlights Professor of Physics, Massachusetts Institute of Technology Co-founder and President, Future of Life Institute Author, Life 3.0: Being Human in the Age of Artificial Intelligence (Knopf, 2017), New York Times bestseller Author, Our Mathematical Universe: My Quest for the Ultimate Nature of Reality (Knopf, 2014) Named to TIME100 AI, the inaugural TIME list of the 100 most influential people in artificial intelligence Fellow of the American Physical Society; Packard Fellow; Royal Swedish Academy of Engineering Science Gold Medal (2019); contributor to the Sloan Digital Sky Survey Biography The 2023 open letter calling for a six-month pause on training AI systems more powerful than GPT-4 was the moment AI safety stopped being a niche concern and became a board-level question. The letter was organised out of the Future of Life Institute. Its president is Max Tegmark. Tegmark is a Professor of Physics at MIT whose research moved from precision cosmology, including significant work on the Sloan Digital Sky Survey, to the physics of intelligence itself. That trajectory matters. He approaches AI not as a technology commentator but as a working scientist asking what these systems are, what they can be made to do safely, and where the limits of current understanding sit. Through the Future of Life Institute, which he co-founded with Anthony Aguirre, Tegmark has built one of the most consequential policy voices in AI. FLI’s work shaped key provisions of the EU AI Act, and the 2023 pause letter, signed by Yoshua Bengio, Stuart Russell, Elon Musk, Steve Wozniak and Yuval Noah Harari among more than 30,000 others, reframed the global conversation about frontier model risk. His writing carries the same authority into a wider audience. Life 3.0 became a New York Times bestseller and remains a reference text for leaders trying to understand what alignment means and why it is hard. Our Mathematical Universe, published by Knopf in 2014, lays out his case that physical reality is, at the deepest level, a mathematical structure. He was named to TIME’s inaugural TIME100 AI list in 2023, awarded the Royal Swedish Academy of Engineering Science Gold Medal in 2019, and elected Fellow of the American Physical Society for his contributions to cosmology. Key speaking topics Frontier AI capability and risk AI governance and regulation AI safety and alignment The future of work in an age of capable AI Existential risk and transformative technology Cosmology and the nature of reality Physics of intelligence Ideal for Boards and executive teams setting AI strategy and governance Policy, regulatory and public-sector leaders working on AI rules Chief Technology Officers, Chief AI Officers and heads of research Investor and academic audiences engaging with frontier technology Audience outcomes A clearer view of what current AI systems can and cannot do, separated from vendor and media framing A working mental model of the alignment problem and why frontier-model governance is hard Concrete reference points from the EU AI Act and the FLI policy agenda for corporate AI policy Sharper questions to put to internal AI leads, vendors and external advisers A scientifically grounded sense of which long-run AI scenarios are plausible and which are not

Why organisations work with Mark Esposito He brings a named foresight framework, DRIVE, that gives leadership teams a shared vocabulary for the five megatrends shaping their markets, rather than a generic “future of” briefing. His positions sit on both sides of the AI conversation. He advises the World Economic Forum’s Global AI Alliance on policy while working as Chief Economist at micro1, a Silicon Valley AI lab, so the board hears how regulation and deployment actually meet. He has built the institutional access most academic speakers cannot. Harvard Kennedy School, Northeastern, Cambridge Judge, Georgetown, and government advisory roles across the GCC and Eurasia. The work is current and published. Fourteen books, two Amazon bestsellers, The Great Remobilization with MIT Press, and forthcoming titles with Routledge and Penguin Random House give a senior buyer a reading list to brief their team from. Biography highlights Professor of Strategy and Technology Policy at Northeastern University’s D’Amore-McKim School of Business, with Harvard affiliations at the Kennedy School’s Center for International Development, the Institute for Quantitative Social Science, and Harvard Law School’s Berkman Klein Center for Internet and Society Chief Economist at micro1, a Silicon Valley AI lab, and co-founder of Nexus FrontierTech, the AI Native Foundation, the Circular Economy Alliance, and The Chart ThinkTank Co-developer of the DRIVE megatrends framework with Terence Tse Author or co-author of 14 books and over 150 publications, including two Amazon bestsellers, plus The Great Remobilization (MIT Press, 2023) and Digitizing the Emerging Economies (Cambridge University Press, 2024) Named to the Thinkers50 Radar of 30 thinkers most likely to shape the future; recognised by MIT Technology Review and Thinkers360 for AI influence Member of the World Economic Forum’s Global AI Alliance and policy advisor to governments across the GCC and Eurasia Biography The hard part of governing AI is not writing the principles. It is keeping a strategy coherent while the technology, the regulation, and the workforce implications all change inside the same planning cycle. That is the gap Mark Esposito’s work has occupied for the past decade, first through strategic foresight, now through applied AI policy and deployment. The intellectual anchor is DRIVE, the megatrends framework he developed with Terence Tse and laid out in Understanding How the Future Unfolds. DRIVE gives leadership teams five named forces, from demographic change through enterprising dynamics, that organise the noise of long-range planning into something a board can actually use. The framework underpins his teaching as Professor of Strategy and Technology Policy at Northeastern University, and his research affiliations at Harvard Kennedy School, the Institute for Quantitative Social Science, and the Berkman Klein Center. He pairs that academic base with an operator’s vantage point. As Chief Economist at micro1, a Silicon Valley AI lab, he works inside the commercial reality of building and deploying AI at scale. The AI Native Foundation, which he co-founded, extends that into capability building for institutions trying to become genuinely AI-native rather than AI-curious. His seat on the World Economic Forum’s Global AI Alliance connects both sides to the policy conversation. The body of work is now substantial. Fourteen books and over 150 publications, two Amazon bestsellers, The Great Remobilization with MIT Press, and forthcoming titles with Routledge and Penguin Random House. Thinkers50 named him to its Radar of thinkers most likely to shape the future; MIT Technology Review and Thinkers360 have recognised his AI influence. For boards trying to make defensible decisions on AI while the ground moves under them, that combination of foresight discipline, policy access, and a frontier-AI operating role is rare in a single voice. Key speaking topics AI strategy and AI-native organisations Strategic foresight and megatrends The DRIVE framework AI policy and governance Fourth Industrial Revolution and emerging economies Circular economy and resource strategy Geopolitics of technology Ideal for Boards and executive committees setting AI strategy and governance posture CSOs, transformation leads, and chief strategy officers running long-range planning under technological uncertainty Government and public sector leaders shaping AI policy and industrial strategy Senior leadership teams in emerging markets navigating the Fourth Industrial Revolution Audience outcomes A shared, named vocabulary (DRIVE) for the five megatrends reshaping their sector A clearer view of where their AI agenda is running ahead of, or behind, their operating model Specific examples of how governments and large enterprises are translating AI policy into deployment A reading map across his published work for follow-up briefing inside the organisation

Why organisations work with Jonathan Reichental He has run the work he now speaks about. As CIO of the City of Palo Alto and CIO of O’Reilly Media, he owned budgets, projects and consequences, which is a different proposition to commenting on them from a research desk. The Palo Alto tenure produced a first-place category ranking in the Digital Cities Survey, a verifiable outcome rather than a claim of impact. His book catalogue, led by Smart Cities For Dummies with multiple follow-on titles across data governance, analytics and cryptocurrency, gives audiences accessible reference material they can share inside their own teams after the session. His adjunct teaching positions at UC Berkeley and the University of San Francisco, combined with LinkedIn Learning courses and a Forbes column, mean his explanations of emerging technology are built for non-specialist audiences without losing technical accuracy. He covers the breadth of the current executive agenda, quantum, AI, blockchain, smart cities, data governance, with the same pragmatic framing, which suits leadership audiences that need one session to cover multiple priorities. Biography highlights Founder and CEO of Human Future Former Chief Information Officer, City of Palo Alto, California; Palo Alto achieved first-place category ranking in the Digital Cities Survey during his tenure Former Chief Information Officer of O’Reilly Media; senior technology leadership at PricewaterhouseCoopers Adjunct professor at UC Berkeley and the University of San Francisco Author of Smart Cities For Dummies, Data Governance For Dummies, Data Analytics & Visualization All-in-One For Dummies and Cryptocurrency QuickStart Guide Forbes contributor; LinkedIn Learning course creator; recognised on CXOTalk’s 20 Influential CIOs list Biography Smart cities is one of the most hyped categories in public-sector technology and one of the hardest to deliver. Jonathan Reichental’s credibility starts with the fact that he did the delivery job. As Chief Information Officer of the City of Palo Alto, he led the technology work that produced a first-place category ranking in the Digital Cities Survey, on a public-sector budget and under the accountability that comes with it. The book that followed, Smart Cities For Dummies, is now one of the most widely used introductions to the field. His private-sector track record sits alongside. Earlier roles include CIO of O’Reilly Media and senior technology leadership at PricewaterhouseCoopers. The combination, public-sector, publishing-and-tech, and global consulting, is the reason his framing on digital transformation holds up in front of different audiences. He now runs Human Future, the advisory, investment and education firm he founded to focus on emerging technology strategy. The writing and teaching extend the same thesis. Alongside the smart cities titles, he has authored or co-authored Data Governance For Dummies, Data Analytics & Visualization All-in-One For Dummies, Cryptocurrency QuickStart Guide and The Apps Challenge Playbook, teaches as an adjunct professor at UC Berkeley and the University of San Francisco, contributes a column to Forbes and creates LinkedIn Learning courses. His recognition on CXOTalk’s 20 Influential CIOs list and Government Technology’s Top 25 Doers, Dreamers and Drivers places him inside the peer group his corporate and public-sector audiences consult anyway. For boards, city governments, utilities and enterprise CIOs trying to make real decisions about AI, quantum computing, blockchain and smart-infrastructure investment, Reichental brings the unusual combination of an operator’s record, a teacher’s clarity and a published author’s reference library. Key speaking topics Smart cities and digital government Emerging technology strategy (AI, quantum, blockchain) Data governance, analytics and the CIO agenda Public-sector technology leadership Digital transformation for enterprise and city organisations Ethics in technology leadership Ideal for CIOs, CDOs and chief transformation officers setting or refreshing digital strategy City governments, utilities and public-sector organisations running smart-city or digital-services programmes Executive committees and boards needing a single session to level-set on emerging technologies Technology conferences and industry summits requiring an author-led keynote with operator credentials Audience outcomes A structured view of which emerging technologies are production-ready, which are near-term, and which are further out Specific reference cases from Palo Alto and other smart-city programmes on what actually works in public-sector digital delivery A clearer executive framing of data governance, analytics and AI choices, grounded in the relevant For Dummies material Practical prompts for translating emerging-tech strategy into a 12- to 24-month roadmap A shareable reading list and follow-on LinkedIn Learning courses for leadership teams

Why organisations work with Jonathan Gabay He writes the textbooks the field uses. Brand Psychology (Kogan Page) and Practical Digital Marketing and AI Psychology (Routledge) are professional references, not bureau-circuit titles. He reads brand crises in real time on BBC, CNN, Bloomberg and Sky, which means his commercial diagnosis comes from sustained exposure to live reputational damage, not case-study retrospectives. He treats AI in marketing as a trust problem, not an automation problem, and connects ethics, prompt engineering and consumer psychology in one argument senior marketers can act on. His Saatchi & Saatchi Direct origin is creative, not academic, so the strategic frame stays tied to what actually moves a customer. Biography highlights Author of Brand Psychology (Kogan Page) and Practical Digital Marketing and AI Psychology (Routledge, 2024), professional textbooks used by marketing students and practitioners. Former Group Creative Head, Saatchi & Saatchi Direct. Fellow of the Chartered Institute of Marketing and accredited brand journalist. Senior lecturer in crisis management and prompt engineering; teaching record at the London School of Economics, Management Centre Europe and Newport University. Course leader on digital psychology programmes for the Chartered Institute of Marketing and the Direct Marketing Association of Northern California. Regular media commentator on branding, political PR and AI for BBC (including Newsnight), CNN, Bloomberg, Sky, Channel 5 and ABC. Biography Most brands now compete on a question they have not faced before. Not how to reach an audience, but whether anyone still believes the message when they get it. Generative AI has industrialised marketing output and consumers have responded with a sharper, quieter scepticism that no media spend can buy past. Jonathan Gabay has spent three decades on the inside of that question. He started in creative work at Saatchi & Saatchi Direct, where he became Group Creative Head, then moved into the analytical side of the same problem. Brand Psychology (Kogan Page) sets out how social psychology, cognitive science and neuroscience explain why consumers trust some brands and abandon others, and what CEO reputation does to both. His 2024 Routledge textbook Practical Digital Marketing and AI Psychology extends the argument into the AI era. The book is used as a professional reference by marketing students and practitioners, and treats AI not as a productivity tool but as a force that changes the psychological contract between brand and buyer. He teaches the same material as a senior lecturer in crisis management and prompt engineering, with course work at the London School of Economics, the Chartered Institute of Marketing and the Direct Marketing Association of Northern California. The commentary record matters because it is unusually current. BBC Newsnight, CNN, Bloomberg, Sky and Channel 5 use him to read live brand and political PR crises as they unfold, which is why the keynote material is closer to a working diagnostic than a finished case study. Key speaking topics Brand psychology and consumer trust AI ethics in marketing communications Digital trust and online consumer behaviour Crisis communications and brand reputation Political PR, propaganda and persuasion Prompt engineering for marketers CEO reputation and brand storytelling Ideal for CMOs, brand directors and marketing leadership teams rebuilding trust under AI Communications, PR and corporate affairs leaders facing reputational risk Boards and executive teams of consumer-facing brands Marketing and brand functions integrating AI into customer-facing work Audience outcomes A working model of how consumers form trust in brands and what AI changes about it A clearer view of where AI use crosses the ethical line that customers actually punish Sharper diagnosis of brand and reputation crises drawn from live media cases A practical reading of where prompt engineering and marketing psychology meet Confidence to make defensible commercial calls on AI in marketing communications

Why organisations work with Jamie Bartlett He has spent more than a decade inside the parts of the internet that boards now worry about: dark net markets, crypto fraud, online radicalisation, generative AI manipulation. The reporting is first-hand, not desk-based. He built and ran the Centre for the Analysis of Social Media at Demos, giving him a rare combination of investigative journalism and large-scale data work on online behaviour. The People Vs Tech won the 2019 Transmission Prize and set out a specific argument about how digital systems destabilise democratic institutions, an argument that now reads as a forecast of the AI-and-elections debate. The Missing Cryptoqueen is one of the most successful financial-crime podcasts ever made; he can talk about crypto fraud and influence operations from inside the case file, not from a slide deck. He is comfortable in front of regulators, insurers and corporate boards, having spoken at the ABI Annual Conference and worked with governments on online harms and disinformation policy. Biography highlights Founder and former Director of the Centre for the Analysis of Social Media at the think tank Demos. Author of The Dark Net, Radicals Chasing Utopia, The People Vs Tech and The Missing Cryptoqueen, published by Penguin Random House and Hachette. Winner of the 2019 Transmission Prize and longlisted for the 2019 Orwell Prize for Political Writing for The People Vs Tech. Presenter of the BBC Two documentary The Secrets of Silicon Valley and the BBC podcast series The Missing Cryptoqueen and Believe in Magic. TED speaker; “How the mysterious dark net is going mainstream” has been viewed several million times. Technology contributor to The Telegraph, The Spectator, the New York Times, The Times, the Guardian, Foreign Policy and Prospect; writes the Substack newsletter How to Survive the Internet. Biography The OneCoin fraud took roughly four billion dollars from ordinary investors before its founder, Ruja Ignatova, vanished. Jamie Bartlett spent two years inside that story for the BBC, and the podcast he co-wrote and presented, The Missing Cryptoqueen, became one of the most-downloaded financial-crime investigations the BBC has ever produced. It is the clearest example of his method: long, embedded reporting inside the parts of the digital economy that institutions struggle to see clearly. That method runs through four books. The Dark Net mapped the subcultures, markets and ideologies operating below the public internet. Radicals Chasing Utopia tracked fringe political movements that have since shaped mainstream politics. The People Vs Tech, which won the 2019 Transmission Prize, argued that digital platforms were quietly hollowing out the conditions democracy needs to function. Boards reading it in 2018 found it provocative. Boards reading it now read it as a forecast. The analytical foundation came earlier, at Demos. Bartlett founded and led the Centre for the Analysis of Social Media for around a decade, combining investigative reporting with large-scale data work on online extremism, political movements and information operations. That work fed into BBC Two’s The Secrets of Silicon Valley and into regular contributions to the New York Times, The Times, the Guardian, Foreign Policy and Prospect. His current focus is the generative AI cycle and what it does to fraud, trust and democratic infrastructure. He writes the Substack How to Survive the Internet, speaks to insurers, regulators and corporates on digital risk, and has appeared at venues including the Association of British Insurers Annual Conference. The brief he answers most cleanly: help senior leaders see what is actually happening online, not what their dashboards say is happening. Key speaking topics Generative AI, democracy and corporate trust Online fraud, crypto scams and financial crime Disinformation, influence operations and information integrity Dark net markets and digital underworld economies Technology, regulation and the future of online harms Political radicalisation and digital subcultures Ideal for Boards, audit committees and risk committees grappling with AI, fraud and digital trust as governance issues Insurers, banks and financial services firms exposed to crypto fraud, identity risk and information operations CISOs, Chief Risk Officers and Heads of Compliance briefing executive teams on the changing online threat landscape Government, regulatory and policy audiences shaping rules on AI, online harms and platform accountability Audience outcomes A clearer picture of how generative AI is changing fraud, influence and information integrity in practice, beyond the headline narrative. Specific case material on OneCoin, dark net markets and online radicalisation that leaders can use to brief their own teams. A sharper sense of where digital risk now sits inside corporate governance, not only inside IT. Confidence in talking about technology, democracy and trust without leaning on consultancy abstractions. A reading of where the next two years of regulatory and reputational pressure on technology are likely to land.

Why organisations work with Ian Goldin He predicted in The Butterfly Defect (2014) that a pandemic would be the most likely cause of the next global financial shock, six years before COVID. Boards looking for genuine foresight on systemic risk treat that record as evidence, not branding. He forecasts growth prospects across regions, including the US, Europe, China, and Asia, and across sectors such as manufacturing, banking, and AI. Asset allocators, central banks, and multinational boards use that view to stress-test capital and operating decisions over a five to fifteen year horizon. Few speakers carry both operating and academic authority on globalisation: Vice President of the World Bank, Chief Executive of the Development Bank of Southern Africa, and Founding Director of the Oxford Martin School. His work translates directly into capital and policy decisions on geoeconomics, supply chains, urbanisation, and the impact of AI on jobs and development. These are the live questions on most international boards heading into the late 2020s. He moderates and facilitates as well as keynotes. Clients including J.P. Morgan and pharmaceutical and legal industry events have used him to open and connect multi-day programmes, shape agendas, and chair leadership conversations on top of delivering the headline keynote. Biography highlights Vice President of the World Bank (2003-2006) and Director of Development Policy (2001-2003). Chief Executive of the Development Bank of Southern Africa (1996-2001), advising President Nelson Mandela. Founding Director of the Oxford Martin School (2006-2016), establishing 45 research programmes and over 500 affiliated academics. Professor of Globalisation and Development, University of Oxford, and Professorial Fellow at Balliol College. Author of 25 books including The Butterfly Defect (Princeton, 2014), Age of the City (Bloomsbury, 2023, FT Best Books of 2023), and The Shortest History of Migration (Old Street, 2024). Writer and presenter of three BBC documentary series, including After the Crash and The Pandemic that Changed the World, and the BBC Analysis The Death of Globalisation (2023). Biography In 2014, The Butterfly Defect argued that the next major global financial shock was most likely to come from a pandemic running through the connective tissue of globalisation. Six years later, COVID proved the case. The book, written with Mike Mariathasan and published by Princeton, was Ian Goldin’s clearest statement of a thesis he had been building for two decades: globalisation has produced extraordinary gains and a new class of systemic risk that institutions are not yet built to manage. That argument carries weight because of where it comes from. Goldin was Vice President of the World Bank and, before that, Chief Executive of the Development Bank of Southern Africa, where he advised President Nelson Mandela through the early post-apartheid years. He was Principal Economist at the European Bank for Reconstruction and Development and a Programme Director at the OECD in Paris. The institutions sit behind the books. At Oxford, he founded the Oxford Martin School in 2006 and ran it for a decade, building 45 research programmes across more than 100 disciplines. He now leads three Oxford Martin programmes on technological and economic change, the future of work, and the future of development. His books, 25 in total, run from Exceptional People on migration to Age of the City on urban futures, with The Shortest History of Migration arriving in 2024. What boards and governments use him for is harder than topic coverage. It is the ability to connect migration, AI, climate, and supply chain stress into a coherent picture of where capital, talent, and political risk are moving over a five to fifteen year horizon, with the operational scars to know which policy moves actually land. Key speaking topics Economic growth prospects across countries, regions, and sectors Geopolitics, geoeconomics, and the fracturing rules-based order Systemic risk and globalisation AI, jobs, and the future of work The future of cities and urbanisation Long-horizon scenarios and crisis recovery Migration and demographic change Ideal for Boards and executive committees of multinationals navigating geopolitical exposure, supply chain risk, and growth divergence across regions. Government, central bank, and multilateral audiences setting policy on development, AI, and climate. Investor and asset-allocator forums sizing long-horizon risk across regions and sectors. CSOs, heads of strategy, and CFOs responsible for capital decisions under macro and political uncertainty. Audience outcomes A clearer reading of how today’s shocks connect: pandemics, AI, migration, climate, and political fracture as one system. Specific arguments and evidence boards can use when stress-testing strategy against the next decade of global change. A sharper view of how growth prospects diverge across regions and sectors, and what that means for capital allocation, supply chains, and talent strategy. Confidence to challenge assumptions baked into long-range plans, sourced from someone who has run the institutions setting global policy.

Why organisations work with Hector Monsegur He co-founded and led LulzSec during its 2011 campaign against targets including Sony, the CIA public website, News Corporation, Stratfor, and US and UK law enforcement bodies, which gives his technical explanations a provenance no defender-only speaker can claim. Court filings credit his FBI cooperation with helping prevent roughly 300 cyber attacks on US government, military, and corporate targets; that record is a matter of public record, not self-description. He is a working penetration tester and cybersecurity research lead, currently Chief Research Officer at SafeHill, so his examples reflect live engagements rather than stories from a decade ago. His joint work with former FBI Special Agent Chris Tarbell, including the “Hacker and the Fed” podcast, means a single booking can span both the attacker and investigator perspective on the same incidents. He is direct about his own record and the decisions that led to cooperation, which is what makes him credible in front of boards and security leaders who have seen the sanitised version of this story before. Biography highlights Co-founder and de facto leader of LulzSec, the 2011 hacktivist group that breached Sony, PBS, News Corporation, Stratfor, and the public website of the CIA. FBI cooperator from June 2011, credited in federal court filings with helping prevent around 300 cyber attacks before being sentenced to time served in May 2014. Co-founder and Chief Research Officer of SafeHill, a US cybersecurity startup that exited stealth in 2025 with a 2.6 million dollar pre-seed round. Former Director at Rhino Security Labs, leading network penetration testing for financial services, retail, and technology clients. Co-host with former FBI Special Agent Chris Tarbell of the “Hacker and the Fed” podcast. Covered by CBS News, Wired, Vice, Ars Technica, and Fox News; first television interview conducted by Charlie Rose on CBS This Morning. Biography LulzSec existed for roughly fifty days in the summer of 2011 and did enough damage in that window to force boards at Sony, News Corporation, and several federal agencies to rethink their security posture. Hector Monsegur, operating under the handle Sabu, was one of six core members and the group’s public face on IRC and Twitter. The FBI identified him that June and, within twenty four hours of arrest, he agreed to cooperate. Over the next ten months he continued to appear online as Sabu while working with federal investigators, an arrangement court filings later credited with helping prevent around 300 planned attacks on targets including NASA, the US military, and major media organisations. He was sentenced in May 2014 to time served. What makes his perspective commercially useful is not the biography, it is the technical specificity behind it. He can walk a security team through how a hacktivist crew forms, how trust between members is established and exploited, how initial access is gained, and how the same operational mistakes keep appearing inside Fortune 500 networks a decade later. That work now sits inside a live engineering role. He is Chief Research Officer at SafeHill, a cybersecurity startup that raised 2.6 million dollars in pre-seed funding in 2025 to build a continuous threat exposure management platform. Alongside that he co-hosts “Hacker and the Fed” with Chris Tarbell, the former FBI special agent who ran the LulzSec and Silk Road investigations. For a security buyer, the unusual thing is that both sides of that original case are now on the same stage. Key speaking topics Attacker-side perspective on corporate cyber risk Hacktivism and the formation of online crime groups Penetration testing and offensive security Insider threat and human failure points Federal cybercrime investigation and cooperation State of the threat landscape Ideal for CISOs, heads of offensive security, and red team leaders inside banks, insurers, and large technology firms Boards and audit committees seeking an unfiltered briefing on how a modern intrusion actually unfolds Risk, compliance, and fraud leadership inside retail, payments, and critical infrastructure Cybersecurity conferences and industry events looking for a keynote that pairs operator credibility with current research Audience outcomes A first-hand account of how a hacktivist group formed, operated, and was eventually dismantled. Specific examples of where corporate defences tend to fail against a motivated attacker with time. A clearer view of the human factors that drive most successful intrusions, from insider error to social engineering. Language that senior leaders can use to brief their own boards on cyber exposure without leaning on vendor slides.

Why organisations work with Guy Hoffman He runs one of the leading labs in the world on human-robot and human-AI collaboration, so the content is drawn from active research, not recycled commentary. His design training at Parsons sits on top of an MIT computer science doctorate, which is why his work on non-anthropomorphic robots and nonverbal machine communication reads as rigorous rather than aesthetic. His TEDxJaffa talk “Robots with Soul” passed three million views and remains one of the most-watched public explanations of why machines feel awkward to work with, and how to fix it. He has shipped work that reached wide audiences: the AUR robotic desk lamp won the IEEE Robot Design Competition, and his collaboration on the Digital Water Pavilion was named a TIME Best Invention of the Year. He speaks to leadership audiences about AI without the two failure modes buyers dread: pure hype on one side, and pure academic detachment on the other. Biography highlights Associate Professor and Mills Family Faculty Fellow, Sibley School of Mechanical and Aerospace Engineering, Cornell University. Heads the Human-Robot Collaboration and Companionship (HRC2) group at Cornell. PhD, MIT Media Lab (human-robot interaction); MSc Computer Science, Tel Aviv University; animation studies, Parsons School of Design. Best Paper awards at HRI and robotics conferences across 2004, 2006, 2008, 2010, 2013, 2015, 2018, 2019, 2020 and 2021. Co-author of “Social Robot Morphology: Cultural Histories of Robot Design” in Cultural Robotics (Springer, 2023). Work covered by CNN, BBC, The New York Times, PBS, NBC, IEEE Spectrum and Semafor. Biography The hard problem in applied AI is not the model. It is the hand-off. The moment a machine has to time its action to a human’s, read context, share a task, or back off when the person wants to lead, most systems fail in ways that erode trust faster than any single output error. Guy Hoffman has spent two decades building the science of that moment. At Cornell, Hoffman leads the Human-Robot Collaboration and Companionship group as Associate Professor and Mills Family Faculty Fellow in the Sibley School of Mechanical and Aerospace Engineering. The lab’s work sits across mechanical engineering, computer science and information science, which is why it produces research on timing, nonverbal communication and the design of machines that do not pretend to be human. His doctorate is from the MIT Media Lab; he also trained in animation at Parsons, and that combination shapes the questions he asks. The public version of that thinking is his TEDxJaffa talk “Robots with Soul,” watched more than three million times and still one of the clearest explanations of why so many AI products feel wrong to use. The academic version is a body of work that has been recognised with Best Paper awards at HRI and robotics conferences across a decade and more, and a 2023 Springer chapter, “Social Robot Morphology,” that traces how cultural assumptions get baked into machine design. For senior audiences, the through-line is practical. Companies are now deploying AI into workflows that were built for humans. Hoffman’s research shows what breaks at that boundary, why it breaks, and what good looks like when a machine is designed to collaborate rather than merely perform. That is a more specific brief than the usual AI keynote, and it lands with operators who have already moved past the demo. Key speaking topics Human-AI collaboration and the design of productive machine partners Human-robot interaction in workplaces and homes Nonverbal communication between people and intelligent systems Non-anthropomorphic robot and AI design Timing, trust and hand-offs in human-machine teams Cultural assumptions embedded in AI and robot design The future of robots in care, service and creative work Ideal for Chief technology and chief AI officers leading enterprise AI deployment Heads of R and D, innovation and product in technology-intensive sectors Boards and executive teams setting strategy for automation and AI-enabled services Health, manufacturing and service leaders introducing robotic or AI systems into human workflows Audience outcomes A clearer map of where AI and robotic systems tend to fail at the human boundary, and why those failures are predictable A working vocabulary for discussing trust, timing and hand-offs in AI-enabled operations Specific design principles from two decades of human-robot interaction research, translated for non-technical leaders A view of where near-term robotics is heading in workplaces, homes and care settings, grounded in current lab work Sharper questions to bring back to internal AI and automation roadmaps