Éthique de l'IA et technologie responsable

Why organisations work with James Taylor A named, published model. The Eight Ps of SuperCreativity (Purpose, Personality, Practice, People, Process, Place, Product, Persuasion) gives leadership teams a common language for a problem most companies still discuss in abstractions. Field-tested with the buyers he is pitching to. Apple, Cisco, Deloitte, EY, Visa, IBM, McDonald’s, Sony and Johnson and Johnson have used his work with their teams, so the credibility problem is solved before the conversation starts. Primary research, not curation. Through the SuperCreativity Podcast he has interviewed hundreds of founders, researchers and creative directors, which gives his keynotes specific stories that bureau-written talks on AI cannot match. A Fellow of the Royal Society of Arts with a TED talk on augmenting human creativity, which signals institutional seriousness for boards that want more than a futurist pitch. Works in partnership as The Ethical Futurists with Alison Burns when briefs require joint treatment of AI, sustainability and ethical business practice. Biography highlights Author, SuperCreativity: Accelerating Innovation in the Age of Artificial Intelligence (Sirmione Publishing, 2026). Fellow of the Royal Society of Arts (FRSA); MBA. TED speaker: SuperCreativity, Augmenting Human Creativity in the Age of AI. Host, SuperCreativity Podcast, featuring interviews with creative leaders, founders and AI researchers. Advisory and keynote client roster includes Apple, Cisco, Deloitte, EY, Visa, IBM, McDonald’s, Sony, Mercedes-Benz and Johnson and Johnson. Co-founder of The Ethical Futurists with Alison Burns, focused on sustainability, ethics and future of work. Biography The conversation in most boardrooms has moved on from whether to adopt AI to whether AI is producing anything genuinely new. Productivity gains are easier to claim than originality, and executives now want to understand what separates teams that use AI to compress existing work from teams that use it to generate ideas their competitors have not yet considered. That is the question Taylor has built his practice around. His book SuperCreativity, published by Sirmione Publishing in 2026, argues that the age of the lone genius is over and that creative advantage now belongs to leaders who can orchestrate collaboration between humans and machines. The Eight Ps framework at the centre of the book (Purpose, Personality, Practice, People, Process, Place, Product, Persuasion) is how he translates the argument into something a leadership team can act on. The evidence base is unusually direct. Through the SuperCreativity Podcast he has run long-form interviews with founders, researchers, and creative directors across Silicon Valley and beyond, building a library of primary material on how creative work is actually being done under AI conditions. That research feeds keynotes for Apple, Cisco, Deloitte, EY, Visa, IBM, McDonald’s, Sony, Mercedes-Benz and Johnson and Johnson. He is a Fellow of the Royal Society of Arts, holds an MBA, and has delivered a TED talk on augmenting human creativity in the age of AI. With Alison Burns he also runs The Ethical Futurists, a dedicated partnership for briefs that sit at the intersection of AI, sustainability and corporate ethics. Key speaking topics Human-AI creative collaboration Innovation capability and the Eight Ps of SuperCreativity Creative leadership in AI-enabled organisations Applied artificial intelligence for business teams Ethics and responsibility in AI adoption Future of work and creative skills Ideal for C-suite and board sessions weighing the strategic return on AI investment beyond productivity Chief Innovation Officers, CTOs and transformation leads responsible for integrating AI into existing teams Leadership offsites for creative, marketing, product and R and D functions Industry conferences on AI, innovation and the future of work Audience outcomes A shared framework, the Eight Ps of SuperCreativity, that leadership teams can carry back into their own planning A clearer view of where AI augments human judgement and where it dilutes it Specific examples of how large organisations are using AI to raise creative output, not just operational speed A starting position on the ethical questions that follow any serious AI rollout Prompts for how to redesign roles, teams and workflows around human-AI collaboration

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 Jay Tuck He has reported on AI from inside the places it matters most: Ukrainian battlefields, US carrier decks, intelligence agencies, and the trading floors AI has effectively emptied. The talk lands as field reporting, not theory. His book Evolution ohne uns sold widely enough in Germany that the Bundeswehr bought 10,000 copies to put in front of its officers. The German defence establishment treats his framing as a serious internal reference, not bureau copy. He carries 35 years of ARD investigative reporting and a TEDxHamburgSalon talk past five million views. Audiences arrive already knowing the argument, which raises the floor on the room. He is fluent on AI risk in language that translates: what a generative model actually decides, where the human is no longer in the loop, and what a bank or hospital board can still control. Biography highlights 35 years at ARD German Television, including Executive Producer of the flagship nightly news programme ARD-Tagesthemen. Author of High-Tech Espionage (St. Martin’s Press), published in 14 countries. Author of Evolution ohne uns (Plassen Verlag), a German technology bestseller; the German Ministry of Defence acquired 10,000 copies for its armed forces. Author of KI und der moderne Krieg (Econ Verlag) on battlefield AI in the Ukraine war. War correspondent in Kuwait, Iraq, and Ukraine; embedded aboard USS Truman. TEDxHamburgSalon talk “Artificial Intelligence: It Will Kill Us” with more than five million views. Founder and CEO of Airtime Dubai Ltd, producing the technology magazine Understanding Tomorrow for Al-Jazeera Arabic. Biography The systems now embedded in military, financial, and clinical decisions are no longer fully legible to the people who own the risk. Code writes its own next version. Targets are nominated by software. Trades clear without a human in the chair. The question for any serious board is whether the governance model around these systems still matches what they actually do. Tuck reports on this gap from the inside. His investigative book High-Tech Espionage was published in fourteen countries by St. Martin’s Press. Evolution ohne uns became a sustained bestseller in Germany on Plassen Verlag, with the Federal Ministry of Defence acquiring ten thousand copies for distribution within the Bundeswehr. KI und der moderne Krieg documents how AI is being used and contested on the battlefield in Ukraine. The reporting sits on a long career in serious news. He spent 35 years inside ARD German Television, ending as Executive Producer of the flagship nightly programme ARD-Tagesthemen, with combat assignments across both Gulf Wars, Ukraine, and the carrier USS Truman. Bylines in Stern, Der Spiegel, Die Welt, Time, and Le Point. His TEDxHamburgSalon talk on AI risk has passed five million views. What he offers a room is the journalist’s job done well: specific cases, named systems, and a clear account of where human authority over machine decisions has already been ceded. Key speaking topics Artificial intelligence and national security AI in modern warfare Autonomous weapons and the human-in-the-loop question AI in financial markets and algorithmic trading AI in law enforcement and biometric forensics Cybersecurity and high-tech espionage AI in healthcare and clinical decision-making Ideal for Boards and audit committees stress-testing AI risk and oversight Defence, intelligence, and law enforcement leadership audiences CROs, CISOs, and heads of compliance in regulated industries Senior leadership offsites in financial services and healthcare are reckoning with model risk Audience outcomes A working vocabulary for how contemporary AI systems actually make decisions, and where human review has quietly dropped out. Named case studies from defence, finance, and law enforcement where the technology has already moved past existing governance. A sharper read on which AI risks belong on a board agenda and which sit lower in the organisation. A grounded view of the strategic stakes for Western institutions as adversary states deploy AI in conflict and intelligence.

Why organisations work with Jerry Kaplan He has built the technology he now teaches. Two of his four startups went public, his team at GO Corporation produced the first commercial tablet operating system, and he co-founded the first internet auction site five months before eBay. He teaches the social and economic impact of AI at Stanford and writes the Oxford University Press primers that policymakers and boards actually cite. That sits between technical depth and decision-grade clarity. His framing of AI’s labour market consequences in Humans Need Not Apply was selected by The Economist as a top ten science and technology book of 2015, well before generative AI made the question urgent. He approaches AI as a question of competitive advantage, regulation, and capital allocation, not as a feature roadmap. Boards leave with a sharper view of what they are actually deciding. Biography highlights Adjunct Lecturer, Stanford University (Ford Dorsey Master’s in International Policy; Department of Computer Science) Fellow, Centre for Legal Informatics, Stanford Law School Founding CEO, GO Corporation (PenPoint OS, tablet computing) Co-founder, Onsale Inc., the first internet auction site (IPO 1997) Author, Generative Artificial Intelligence: What Everyone Needs to Know (Oxford University Press, 2024) and Humans Need Not Apply (Yale University Press, 2015), an Economist top ten book PhD in Computer and Information Science, University of Pennsylvania; inventor on more than a dozen patents; over twenty peer-reviewed papers across ACM and IEEE journals Biography Tablet computing, online auctions, expert systems, and one of the first commercial personal information managers were all built in Silicon Valley before most people had heard of them. Kaplan was inside each of those stories. He was founding CEO of GO Corporation, the company whose PenPoint operating system anticipated the iPad by two decades, and he co-founded Onsale, the first internet auction site, five months before eBay. That operating history is the reason his current work on artificial intelligence is taken seriously by board-level audiences. He teaches the social and economic impact of AI at Stanford and is a Fellow at the Centre for Legal Informatics at Stanford Law School. The Oxford University Press primers he writes, including Generative Artificial Intelligence: What Everyone Needs to Know, are designed for readers who need to decide, not just to understand. His 2015 book Humans Need Not Apply, published by Yale University Press and named one of The Economist’s top ten science and technology books that year, argued that AI’s labour market effects would arrive faster than most institutions were preparing for. The argument has aged unusually well. It now reads as a brief on the question every executive committee is asking about generative systems. The combination of a working technologist, a serial founder with two IPOs, and a current Stanford lecturer is rare. Kaplan uses it to translate AI from a procurement conversation into a strategic one, and to tell senior audiences where they are exposed. Key speaking topics Generative AI and the executive agenda AI and the future of work AI regulation and public policy Competitive advantage in an AI-led economy Industry-specific AI disruption AI risks, dangers, and safety Silicon Valley entrepreneurship and innovation Ideal for Boards and executive committees weighing capital allocation to AI C-suite leaders setting AI strategy, governance, and workforce policy Policy and regulatory audiences confronting AI rules and competition Industry leadership offsites in financial services, technology, healthcare, and professional services Audience outcomes A working mental model of what generative AI can and cannot do, stripped of vendor framing A sharper read on where AI will reshape the workforce and on which timelines A view of the regulatory and geopolitical pressures shaping AI competition Specific questions a board should be asking management about its AI exposure A historical perspective on technology adoption cycles, from someone who has run several

Why organisations work with Joe Toscano He left Google over the data practices he saw inside it, then wrote the book on what those practices look like from within. That insider account is hard to replicate at the keynote level. His work translates AI and privacy debates into specific operating decisions: what data to keep, what to delete, what to disclose, and where consent breaks under regulatory scrutiny. As founder of DataGrade and BEACON, he speaks from the position of someone running a privacy-first business, not commenting on one from outside. His public visibility through The Social Dilemma, Fox News, and Forbes means he can hold a non-technical audience on a technical subject without dropping the substance. Biography highlights Featured expert in Netflix’s The Social Dilemma. Author of Automating Humanity (powerHouse Books / Simon & Schuster). Founder and CEO of DataGrade. Founder of the Better Ethics and Consumer Outcomes Network (BEACON). Former Experience Design consultant for Google. TEDx speaker; Forbes contributor; recurring Fox News technology commentator. Biography The companies setting the rules for how consumer data trains AI systems are also the companies whose products most depend on that data. That conflict sits at the centre of Joe Toscano’s work. He came out of Silicon Valley with a designer’s view of how those products are built, then turned that knowledge outward. Toscano was an Experience Design consultant for Google before stepping away in 2017 over what he saw of the industry’s data practices. Automating Humanity, his book with powerHouse Books, set out the argument in detail: how attention is engineered, how disinformation pays, and how automation is being trained on data the public never knowingly handed over. He went on to found DataGrade, a privacy-first data company, and BEACON, a network focused on technology literacy and ethical innovation. The Netflix documentary The Social Dilemma brought that work to a mass audience, and he has since become a regular technology commentator on Fox News and a contributor to Forbes. What makes him useful to boards is the combination of inside knowledge and operating responsibility. He is not theorising about AI governance from a lectern. He is building a company that has to make those decisions every day, and translating that into language a non-technical executive team can act on. Key speaking topics AI ethics and governance Data privacy and consumer trust The business case for privacy-first design Technology literacy for non-technical leaders The future of work under AI and automation Disinformation and platform accountability Regulation and the post-GDPR landscape Ideal for Boards and executive committees setting AI and data governance standards Chief Privacy Officers, CISOs, and Chief Data Officers CMOs and customer experience leaders weighing personalisation against privacy HR and transformation leads planning workforce change driven by AI Audience outcomes A clearer line between defensible and indefensible uses of customer data in AI systems Specific questions a board should be asking about model training data and consent A working view of how privacy can be a commercial advantage, not just a compliance cost Sharper judgement about what to believe and discount in vendor pitches on AI capability

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 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 Jose Morey He has implemented AI inside an actual clinical and research environment, not theorised about it. As former Associate Chief Health Officer at IBM Watson Health, he sat at the intersection where the Watson promise met hospital reality. He brings genuine NASA insight on how the agency screens emerging health and AI technologies, drawn from his roles as Medical Technology and AI Adviser to NASA iTech and Senior Advisor to the NASA Space Breathing Initiative. He connects medical, space, biosecurity, and transportation domains in a way that lets boards stress-test their AI assumptions against problems harder than their own. Few speakers can move from radiology workflows to Hyperloop systems engineering with credibility in both rooms. He is co-author of Latinx Business Success (Wiley, 2021), which gives him a distinct second register on representation, talent pipelines, and how diverse leadership shows up in technology-driven industries. He is a working radiologist and medical society leader, currently President of the Medical Society of Virginia Foundation, which keeps the keynote material grounded in operational practice rather than commentary. Biography highlights Co-author, Latinx Business Success: How Latinx Ingenuity, Innovation, and Tenacity are Driving Some of the World’s Biggest Companies (Wiley, 2021). Former Associate Chief Health Officer, IBM Watson Health; former Chief Medical Innovation Officer, Liberty BioSecurity. Medical Technology and AI Adviser to NASA iTech and Senior Advisor to the NASA Space Breathing Initiative. Eisenhower Fellow, 2020/2021 Zhi-Xing Fellows Program. Adjunct Professor of Radiology and Biomedical Imaging, University of Virginia and Eastern Virginia Medical School; Guest Lecturer, Singularity University. Member, Forbes Technology Council; Informatics Leadership Council, American College of Radiology; public volunteer, NIST Generative AI Public Working Group. CEO and Founder, Ad Astra Media LLC, a STEAM media production company building role models and educational content for under-represented students. Biography Most of the AI conversation inside large organisations is still happening at one remove from where the technology actually meets a patient, a pilot, or a regulator. Jose Morey works at that meeting point. He is a practising radiologist who has built clinical AI tools, advised NASA on which health technologies are worth backing, and helped Liberty BioSecurity think through genetic intelligence and augmented human performance. His operational range is unusually wide. At IBM Watson Health he served as Associate Chief Health Officer during the period when the platform’s clinical claims were being tested against hospital reality. He has advised NASA iTech on the feasibility and commercialisation of emerging health and AI companies, and serves as a Senior Advisor to the NASA Space Breathing Initiative. He sits on the Chief Engineering Council for Hyperloop Transportation Technologies and on the Informatics Leadership Council of the American College of Radiology. The intellectual through-line is translation between domains. Morey co-authored Latinx Business Success with Frank Carbajal (Wiley, 2021), a book built around interviews with Latinx leaders across technology, finance, healthcare and media, and structured around what they call the DIGITAL framework. He is also an Eisenhower Fellow from the 2020/2021 Zhi-Xing programme, an adjunct professor of radiology at the University of Virginia and Eastern Virginia Medical School, and a guest lecturer at Singularity University. He runs Ad Astra Media, a production studio he founded to put serious STEAM role models in front of under-represented students, and contributes as a public volunteer to the NIST Generative AI Public Working Group. The result is a speaker who can take a board from a question about AI hallucination risk to a question about clinical liability to a question about who is actually being trained to build the next generation of these systems, without losing the room. Key speaking topics Artificial intelligence in clinical medicine Health technology and the future of patient care AI for space exploration and human performance in extreme environments Emerging technology and innovation strategy Latinx leadership and representation in technology industries Generative AI policy and responsible deployment Frontier infrastructure: Hyperloop, biosecurity, and the new technology renaissance Ideal for Healthcare boards, hospital executives, and CMIOs evaluating clinical AI deployment and governance CTOs, CIOs, and innovation leads in regulated industries who need a practitioner view of frontier technology Public-sector and defence audiences focused on biosecurity, space health, and emerging-technology policy DEI sponsors and talent leaders looking to connect representation with technical workforce strategy Audience outcomes A grounded reading of where clinical and operational AI actually works today and where it is still marketing Specific examples of how NASA, biosecurity, and healthcare institutions evaluate emerging technologies before they buy A framework, drawn from Latinx Business Success, for thinking about leadership, talent and innovation in technology-driven industries A clearer view of which frontier technologies (AI, biotech, space health, hyperloop-class infrastructure) are converging on the same set of organisational problems Direct, practical answers to executive questions on AI governance, regulation, and risk

Why organisations work with Karl Lillrud He speaks about AI from the seat of someone who has run digital commerce businesses since the late nineties and is currently building one. PodManager AI, his AI-driven podcast production platform, is shipping to paying customers as he speaks about AI to other operators. His work connects AI directly to revenue mechanics: pricing, conversion, retention, and customer acquisition, the parts of the P&L the C-suite is actually accountable for. Nine published books, including «You, Me and AI» and «AI, Your Second Brain: Evolve or Go Extinct», give leadership teams a shared language for the second-order effects of AI on work, governance, and customer trust, beyond the productivity headlines. Membership of the Harvard Business Review Advisory Council and recognition in Thinkers360’s AI thought-leader rankings signal that the perspective travels at board level, not just at the developer conference. The client footprint, including Volvo, Spotify, Klarna, H&M, AstraZeneca, and 3, gives him pattern recognition across regulated and consumer-facing businesses that few AI speakers can match. Biography highlights Founder of PodManager AI, an AI-driven podcast production platform he is currently building. Founder of Pricelizer, a Swedish e-commerce startup named to CNBC’s 20 hottest startups list in 2015. Author of nine books on AI and digital business, including «You, Me and AI» and «AI, Your Second Brain: Evolve or Go Extinct». Member of the Harvard Business Review Advisory Council since August 2024. Two-time TEDx speaker. Recognised across multiple years in Thinkers360’s AI thought-leader rankings and Global Gurus’ Top 30 Motivational Speakers list. Public engagement footprint includes Volvo, Spotify, Klarna, H&M, AstraZeneca, Qliro, 3, Tele2, and TUI. Biography Most AI keynote speakers have never run a checkout flow at scale. Karl Lillrud has. He has been building digital businesses since the late nineties, founded Pricelizer in 2013 to solve the abandoned-cart problem he kept hitting as an operator, and watched it land on CNBC’s 20 hottest startups list in 2015. He is now building PodManager AI, an AI-driven podcast production platform shipping to paying customers. That operator history, still in present tense, is the through-line for everything he says about artificial intelligence. His books reflect the same instinct. «You, Me and AI» treats the technology across 54 chapters covering work, creativity, education, governance, and the human-machine boundary, rather than as a productivity story. «AI, Your Second Brain: Evolve or Go Extinct» focuses on how leaders and their teams should actually integrate the tools day to day. The two sit inside a wider catalogue of nine published books, written for people who have to make decisions, not people studying the field. The institutional signals followed the work. Thinkers360 has recognised him across its AI thought-leader rankings. Global Gurus has placed him repeatedly in its Top 30 Motivational Speakers ranking. In August 2024 he joined the Harvard Business Review Advisory Council. Volvo, Spotify, Klarna, H&M, AstraZeneca, Qliro, and 3 sit on a public client list that runs across consumer retail, telecoms, and pharma. What a buyer is paying for is the translation layer between board ambition and operating reality. Lillrud has been the person trying to ship the next quarter’s numbers, and he is still in the chair, building an AI product while advising executives who have AI strategies they cannot yet execute. The argument lands because he has been on both sides of the table. Key speaking topics Artificial intelligence and the C-suite agenda AI in retail and consumer experience Digital commerce and customer acquisition Innovation and business model reinvention Leadership in technology-driven organisations AI ethics and governance Future of work in the AI era Ideal for Boards and executive committees moving from AI strategy approval to execution. CEOs, CMOs, and chief digital or commerce officers in retail, telecoms, and consumer brands. Innovation, transformation, and AI leads inside large enterprises building the operating model for AI. Founder and growth-stage leadership teams using AI as a commercial wedge. Audience outcomes A sharper read on which AI use cases move commercial metrics and which are theatre. A vocabulary for discussing AI’s second-order effects on customers, employees, and brand trust at board level. Concrete reference points from operators who have shipped AI inside consumer-facing businesses. A clearer view of where leadership attention should sit next versus where it can wait. Confidence to challenge vendor narratives and refocus internal AI portfolios on revenue impact.

Why organisations work with Kemal Apaydin He speaks from the builder’s seat. He is currently building an AI product that prices and anticipates risk for health insurers, so his read on where agentic AI works and where it breaks comes from shipping it. He connects the frontier to the decision that follows it. His sessions take a live example such as the open-source agent OpenClaw and turn it into the choice leaders actually face: how much autonomy to delegate, and where to keep a human. He has built at the edge of more than one technology cycle. Before AI he founded one of Turkey’s early blockchain communities, which gives him a pattern-level view of how emerging technology moves from hype to infrastructure. He treats privacy and human agency as design questions, not disclaimers. That framing is useful for organisations that want the upside of autonomous systems without signing away control of their data or their decisions. Biography highlights Founder of Alon Health, an AI product that uses wearable-device data to help health insurers assess and anticipate risk, based in Berlin. Alon Health went through Y Combinator. Founder of ARTI Innovation and a TEDx speaker (TEDxOZU, Özyeğin University). Founder of Blockfellow, an early blockchain community and co-working initiative in Turkey. Co-founder and CEO of Chain Networking, and co-founder of Shelly Sleep, a privacy-oriented sleep-diagnostic wristband. Studied at Bilkent University and completed executive study with Harvard Business School Online. Biography An open-source project called OpenClaw spread to tens of thousands of developers within days of launch, letting an AI agent read your messages and act across your accounts. That shift, from software that answers to software that acts, is what Kemal Apaydin works on. He builds in it rather than watching it. His company, Alon Health, applies the same idea inside insurance. It reads signals from wearable devices to help insurers anticipate risk and shape decisions about pricing and cover. Building it has given him a grounded read on where autonomous systems earn trust and where they lose it. This is not his first frontier. Before AI, he founded Blockfellow, an early blockchain community in Turkey, and ran education programmes that pulled hundreds of students from Istanbul universities into the field. The pattern across his work stays the same: get inside a technology while it is still forming, then figure out what it will mean once it settles. He can take a live system like OpenClaw and walk leaders through the question underneath it: how much of a purchase or a decision they will hand to software, and what they keep for a human. That conversation matters for any organisation weighing how far to let autonomy run. The harder one sits right behind it. When an agent acts on someone’s behalf and gets it wrong, who is accountable? Key speaking topics Autonomous and agentic AI Personal AI assistants Enterprise AI strategy and adoption Designing and deploying autonomous AI workflows AI governance, safety, and responsible autonomy Privacy and human agency in AI systems Applied AI in insurance and risk Ideal for Chief technology and chief information officers weighing where to deploy agentic AI and where to hold back Innovation and digital transformation leaders who want a builder’s read on personal AI, not a vendor pitch Strategy teams and boards mapping how autonomous systems change products and accountability Insurance and financial services leaders looking at AI-driven risk and the data questions it raises Audience outcomes They leave knowing what today’s AI agents can actually do, and what the demos leave out, drawn from systems already in use. A working test for deciding which tasks to hand to autonomous software and which to keep under human control. The governance and accountability questions to settle before an agent acts on the organisation’s behalf. A builder’s view of where agentic and personal AI are heading, and what it changes for their sector.

Why organisations work with Lara Lewington Fourteen years inside BBC Click gives her a first-hand catalogue of which AI and health-tech claims held up and which collapsed, useful for boards trying to triage vendor pitches. Hacking Humanity (Penguin, 2025) is a structured, sourced argument on the technologies extending healthspan, not a survey article, so audiences leave with a thesis rather than a topic tour. Formal study in the Ethics of AI at the London School of Economics, layered onto her broadcast work, makes her a credible voice in governance and risk conversations, not only product showcases. She is regularly trusted to host the main stage at AI Summit London, Founders Forum, London Tech Week and the Royal Academy of Engineering, which means she moves comfortably between keynote and high-stakes moderation in the same event. Long-form access to the people building this technology, from Silicon Valley founders to NHS clinicians, lets her describe what is actually being deployed rather than what is being announced. Biography highlights Co-presenter of BBC Click, the corporation’s flagship technology programme, for seven years until the show ended in March 2025; reporter on the programme from 2011. Author of Hacking Humanity: How technology can save your health and your life (Penguin, WH Allen, July 2025). Fronted BBC Panorama’s “Beyond Human: Artificial Intelligence and Us” and BBC One documentary “Forever Young?” on biological age reversal. AI Agony Aunt on ITV’s Lorraine since 2023; recurring technology commentator on Good Morning Britain, Woman’s Hour and BBC Radio 5 Live. Studied Ethics of AI at the London School of Economics; Senior Fellow at the John Schofield Trust mentoring early-career journalists. Host and moderator at AI Summit London, Founders Forum Global, LEAP Tech Arena, London Tech Week and the Royal Academy of Engineering. Biography Most boardroom conversations about artificial intelligence and health technology run aground on the same problem. The pace of announcement outstrips the pace of verification. Lara Lewington has spent 14 years inside the programme that, more than any other in British broadcasting, exists to do that verification on the public’s behalf: BBC Click. She reported for the show from 2011, co-presented from 2018 with Spencer Kelly, and stayed until the programme ended in March 2025. Hacking Humanity (Penguin, July 2025) takes the same instinct into book form. It examines the AI, gene editing and robotics now reshaping medicine, with a clear thesis: the meaningful prize is healthspan, the years lived in good health, not raw lifespan. Endorsed by Lorraine Kelly, Davina McCall and Dr Amir Khan, it draws on access from Silicon Valley founders to NHS clinicians, and frames where the science is real, where it is premature, and where the ethical exposure sits. The AI ethics work is anchored by formal study at the London School of Economics and a steady stream of fronted documentaries: Panorama’s “Beyond Human: Artificial Intelligence and Us”, BBC One’s “Forever Young?”, ITV’s “Tonight: Healthy Ageing”, and BBC Radio 4’s “A Documentary: By ChatGPT”. She is the AI Agony Aunt on ITV’s Lorraine, a regular voice on Good Morning Britain and Woman’s Hour, and a Senior Fellow at the John Schofield Trust. Event organisers book her for two distinct jobs. She delivers keynotes on AI ethics, the human impact of automation and the healthspan revolution. She also hosts and moderates the main stage at AI Summit London, Founders Forum Global, LEAP Tech Arena, London Tech Week and the Royal Academy of Engineering, where the brief is to interview a chief executive or scientist and keep the conversation honest in real time. Key speaking topics Artificial intelligence and its human impact AI ethics and responsible deployment Health technology and the healthspan economy Longevity science and biological age Wearables, diagnostics and consumer health data The role of robotics in care and clinical settings Technology hype versus evidence Ideal for Boards and executive teams setting AI policy and digital health strategy CHROs, chief medical officers and benefits leaders shaping workforce health programmes Health, life sciences and pharma leadership audiences tracking the AI inflection in their sector Conference organisers needing a credible host or moderator for AI, health-tech and innovation main-stage sessions Audience outcomes A clear read on which AI and health-tech claims are evidence-backed and which are still vendor narrative A working vocabulary for healthspan, longevity science and the technologies driving them Sharper questions to put to internal teams and external suppliers on AI ethics and data governance A grounded view of how rapidly diagnostic and preventive technology is moving from research into mainstream use

Why organisations work with Léa Steinacker Her “Code Capital” framework, developed through her University of St. Gallen doctorate and published by Nomos Verlag, gives executive teams a structured way to analyse what is embedded in AI systems from design through deployment, something most AI governance conversations currently lack. Her peer-reviewed research covers specific, contested AI applications, including cross-national surveys of facial recognition acceptance published in Government Information Quarterly and Public Understanding of Science, which gives her arguments empirical grounding rather than assertion. Her 2024 book co-authored with Prof. Dr. Miriam Meckel (Rowohlt Verlag) reached both the Spiegel and Manager Magazin bestseller rankings, evidence that her framing of AI’s organisational and societal consequences resonates with senior business audiences, not only specialist ones. As co-founder of ada Learning, which has equipped thousands of employees from DAX companies, SMEs, and governments with AI transformation skills, she has tested her frameworks inside major institutions at scale, not only described them from the outside. Board-level experience at Weleda AG and active leadership as CEO of GaiaLogic AG mean her perspective on AI governance comes from someone directly accountable for it, not only someone who analyses it. Biography highlights PhD from the University of St. Gallen; doctoral thesis “Code Capital” published as an academic monograph by Nomos Verlag (2022) Co-author with Prof. Dr. Miriam Meckel of “Alles überall auf einmal” (Rowohlt Verlag, 2024), ranked on both the Spiegel and Manager Magazin bestseller lists; published in English as “Everything Everywhere All At Once: How Artificial Intelligence Impacts Our World” and in Korean CEO of GaiaLogic AG; co-founder and former Executive Chairwoman of ada Learning GmbH, which has equipped thousands of employees from DAX companies, SMEs, and governments with AI transformation skills Member of the Board of Directors of Weleda AG; former member of the AI Advisory Board of Ringier AG Lecturer at the University of St. Gallen, teaching “Social and Economic Impacts of Artificial Intelligence” Peer-reviewed publications in Government Information Quarterly, Electronic Markets, Public Understanding of Science, and Data and Policy (Cambridge Core) Degrees from Princeton University (A.B.), Harvard Kennedy School of Government (MPP), and the University of St. Gallen (PhD) Forbes 30 Under 30 Europe; Medium Magazine Top 30 Under 30 Journalists; BCG Thought Leader; Atlantik-Brücke Young Leader; Munich Young Leader (Munich Security Conference and Körber Stiftung); Henry Richardson Labouisse Prize, Princeton University Biography Organisations moving quickly on AI adoption are finding that their governance structures are not keeping pace. Boards are increasingly accountable for what AI systems do to their decisions and their people, yet most lack the analytical frameworks to evaluate it. Léa Steinacker has spent a decade building exactly those frameworks. Her doctoral research at the University of St. Gallen produced Code Capital, a sociotechnical framework for analysing AI systems from design through deployment. Published by Nomos Verlag in 2022, it gives leaders a structured way to identify what AI systems actually contain, from design assumptions to deployment risks. Her peer-reviewed work, covering facial recognition adoption across four countries and published in journals including Government Information Quarterly and Public Understanding of Science, brings empirical grounding to arguments that too often stay at the level of principle. Her 2024 book with Prof. Dr. Miriam Meckel (Rowohlt Verlag) became an immediate Spiegel and Manager Magazin bestseller and was subsequently translated into English and Korean. It moved the question of what AI means for people, organisations, and societies from ethical debate into practical leadership conversation. She now carries that perspective directly into practice as CEO of GaiaLogic AG and as a lecturer at the University of St. Gallen. As a member of the Board of Directors of Weleda AG, her perspective on AI governance is shaped by institutional accountability, not only academic analysis. She co-founded ada Learning, which has equipped thousands of employees from DAX companies, governments, and civil society organisations with AI transformation skills. She holds degrees from Princeton University, the Harvard Kennedy School of Government, and the University of St. Gallen. Key speaking topics AI governance and responsible deployment The societal and organisational implications of AI Code Capital and sociotechnical analysis of AI systems AI regulation and the European policy framework Workforce transformation and AI readiness Human-AI collaboration and decision-making AI and the future of knowledge work Ideal for Boards and C-suite executives evaluating AI governance and accountability structures Chief Technology Officers, Chief Digital Officers, and transformation leads navigating AI adoption Policy, legal, and compliance teams working on AI regulation and enterprise risk Senior HR and people leaders managing workforce readiness and AI-driven organisational change Audience outcomes A framework, grounded in the Code Capital model, for evaluating what AI systems do to organisations beyond their stated technical capabilities Clearer understanding of where AI governance risk accumulates before it becomes visible at board level Practical grounding in European AI regulation and what it means for organisational decision-making and liability A more precise vocabulary for asking the right questions about AI in leadership and governance contexts Greater clarity on how to structure workforce readiness initiatives that treat AI transformation as an organisational challenge, not only a skills one