Ética de la IA y tecnología responsable

Why organisations work with Robert Smith He is a working AI researcher with more than 100 peer-reviewed papers, not a consultant translating other people’s science. When a board asks how a model actually behaves, he can answer at the level of the maths. His book Rage Inside the Machine sets out a specific thesis on why algorithmic bias is structural rather than incidental. It gives leadership teams a shared vocabulary for the risk before they have to defend a hiring, credit, or pricing decision. He has built and deployed AI inside organisations where failure is expensive: NASA, Boeing, Airbus, the Bank of England, the UK Competition and Markets Authority. The reference points are operational, not theoretical. He led AI and data science at Digital Catapult, the UK government’s deep tech innovation centre. He has seen what separates the firms that move beyond pilots from the ones that stall. As a Founding Trustee of We and AI and a Senior Fellow at UCL, his independence on responsible AI is institutional, not positional. That matters when the audience needs a voice that does not sell the technology. Biography highlights Author, Rage Inside the Machine: The Prejudice of Algorithms and How to Stop the Internet Making Bigots of Us All (Bloomsbury Business). Shortlisted, UK Business Book Awards, Specialist category. Former Director of AI and Data Science, Digital Catapult. Senior Honorary Fellow, Computer Science Faculty, University College London. Co-founder, UCL Centre for Decision-Making Uncertainty. Founding Trustee, We and AI. Author of over 100 peer-reviewed papers in artificial intelligence, with a focus on evolutionary computation, knowledge representation, and machine learning. Applied AI work for NASA, Boeing, Airbus, BT, the European Union, the Bank of England, the UK Competition and Markets Authority, and US national laboratories. Biography The history of artificial intelligence is older than most boardrooms assume, and so are the design choices that made today’s models prone to bias. That is the argument running through Robert Smith’s work as a complexity scientist, and it is the reason serious organisations book him when they need an AI conversation that holds up under scrutiny. Smith spent more than three decades inside applied AI before the current wave of public attention. He built systems for NASA, Boeing, Airbus, BT, the Bank of England, the UK Competition and Markets Authority, the European Union, and US national laboratories at Los Alamos and Oak Ridge. He went on to lead AI and data science at Digital Catapult, the UK’s deep tech innovation centre, where the question shifted from research to deployment at scale. His book Rage Inside the Machine, published by Bloomsbury Business and shortlisted for the UK Business Book Awards, traces algorithmic bias back through the intellectual history of computing. The case is technical, not rhetorical: apparently neutral data and models can encode prior injustice across hiring, credit, insurance, policing, and content moderation. He gives leadership audiences a way to interrogate their own systems without needing to read the code. Smith holds a PhD, is a Fellow of the Royal Society of Arts, a Senior Honorary Fellow at UCL Computer Science where he co-founded the Centre for Decision-Making Uncertainty, and a Founding Trustee of We and AI. He has more than 100 peer-reviewed papers to his name and has presented at Google, the UK Financial Conduct Authority, and corporate, academic, and policy venues internationally. Key speaking topics Artificial intelligence and generative AI AI ethics and responsible technology Algorithmic bias and governance Digital transformation Data analytics Future of technology Risk management Ideal for Boards and executive committees signing off on enterprise AI strategy CTOs, CIOs, Chief Data Officers, and heads of AI looking for a credible external voice on governance and bias Risk, compliance, and regulatory leaders in financial services, insurance, healthcare, and public sector Senior HR and people leaders deploying AI in hiring, performance, or workforce decisions Audience outcomes A clearer view of where bias actually originates inside their AI systems, with examples drawn from peer-reviewed research and operational deployments. A working language for board-level conversations about AI risk, beyond the vendor pitch and the headline. Specific questions executives can put to their data science teams and external suppliers to test whether claims about model behaviour are defensible. A grounded sense of where AI is genuinely creating value in regulated environments, and where it is creating exposure. A perspective on responsible AI that comes from a working scientist and trustee of an independent charity, not from a platform vendor.

Why organisations work with Sidney Shapiro Argues openly against AI hype. His featured keynote “Stop Believing the AI Hype” treats vendor claims as a leadership evaluation problem, which is the conversation regulated buyers and procurement teams actually need to have. Has published governance work in peer-reviewed venues. A Routledge book chapter on AI governance for higher education institutions, and a forthcoming IGI Global chapter on the governance of generative AI, give him a documented position on what responsible deployment looks like in practice. Brings a decade of operational data science alongside the academic work. A former Data Science Manager at Sofvie building occupational health and safety software, he speaks to the integration and accountability problems that follow a proof of concept. Active in the working practitioner conversation. Hosts the AI in Action podcast and organises the Southern Alberta AI Conference, which together keep his perspective grounded in what organisations across healthcare, agriculture, manufacturing, and public administration are actually trying to ship. Biography highlights Assistant Professor of Business Analytics, Dhillon School of Business, University of Lethbridge Adjunct Assistant Professor of Computer Science, University of Lethbridge Book chapter on AI governance frameworks for higher education published by Routledge (2025); forthcoming chapter on the governance of generative AI with IGI Global Host of the AI in Action podcast and organiser of the Southern Alberta AI Conference Former Data Science Manager at Sofvie Inc., building data systems for occupational health and safety in the mining sector Featured or quoted in The Globe and Mail, CBC News, Lethbridge Herald, and Canadian Family Offices Magazine Biography Most organisations have already run AI pilots. The harder question is what happens after the proof of concept ends. Procurement standards stay unclear, and the governance frameworks people quote in slides do not survive contact with real workflows. This is the gap Sidney Shapiro works in. He is Assistant Professor of Business Analytics at the Dhillon School of Business at the University of Lethbridge, and Adjunct Assistant Professor of Computer Science. Published work includes a Routledge book chapter on AI governance frameworks for higher education and a forthcoming IGI Global chapter on the governance of generative AI. Both set out what responsible deployment actually requires from organisations. His authority on the operational side comes from a decade in data-centric roles before academia. He worked as a Data Science Manager at Sofvie, an occupational health and safety software company in the mining sector, and previously coordinated the Business Analytics graduate program at Cambrian College. That background shapes how he addresses the procurement and integration problems that follow proof of concept, which is where most AI initiatives slow or stall. Public engagement keeps the work current. Shapiro hosts the AI in Action podcast, interviewing practitioners and researchers across healthcare, education, finance, and software development on what AI deployment actually looks like in their organisations. He also organises the Southern Alberta AI Conference. Recent audiences include Indigenous Services Canada, McCain Foods, EY Calgary, CMC Alberta, and the Digital Research Alliance of Canada. These are buyers with low tolerance for vendor language and high tolerance for hard questions. Key speaking topics AI governance and responsible deployment Generative AI in business and society Data privacy and trust in AI systems AI literacy for non-technical leaders Analytics leadership and digital transformation AI in higher education policy Ideal for C-suite leadership teams and boards facing AI governance and accountability decisions CIOs, CTOs, and Chief Data Officers moving AI from pilot to operational deployment Public sector leaders, including municipal and federal government, working under privacy and equity constraints on AI adoption Higher education executives shaping institutional policy on generative AI in teaching and research Audience outcomes A working framework for evaluating vendor AI claims against operational reality, in time to shape procurement decisions Sharper questions to ask of any AI initiative on data governance and where accountability sits when AI is wrong A grounded view of what generative AI does well today and where it still fails, with the implications for organisational adoption Reference points for designing operational AI governance: procurement standards, acceptable-use policies, and accountability mechanisms

Why organisations work with Dr Stephanie Hare Technology Is Not Neutral, named a Financial Times Best Technology Book of summer 2022, gives her a published framework her audiences can read before and after the session, which lifts her work out of conference-keynote territory. Her career covers the three sides of technology decision-making that most speakers can only address from one: operator (Accenture, Palantir), analyst (Oxford Analytica, Accenture Research) and researcher (LSE PhD, St Antony’s Oxford). That combination is unusually hard to replicate. She is a recognised BBC contributor, selected for the BBC Expert Women programme, with regular appearances on BBC World Television and BBC World Service, which makes her a known quantity to executive audiences used to seeing her comment on the same issues they are deciding. Her published writing in the Financial Times, Washington Post, Guardian, Harvard Business Review and WIRED gives clients a body of work they can share internally when briefing a session. The institutional client list, including KPMG, IKEA, LEGO, BAE Systems, CERN, the Royal Society and the Alan Turing Institute, signals that she operates comfortably across corporate, scientific and public-sector audiences. Biography highlights Author of Technology Is Not Neutral: A Short Guide to Technology Ethics (London Publishing Partnership), FT Best Technology Books of summer 2022 Co-presenter of Artificial Intelligence: Decoded on BBC television and contributor to the BBC World Service programme Business Matters Writing in the Financial Times, The Washington Post, the Guardian/Observer, Harvard Business Review, WIRED and Computer Weekly; selected for the BBC Expert Women programme and the Foreign Policy Interrupted fellowship PhD and MSc from the London School of Economics; BA University of Illinois at Urbana-Champaign; study at the Sorbonne Alistair Horne Visiting Fellow at St Antony’s College, Oxford Former Principal Director at Accenture Research; strategist at Palantir; senior Western Europe analyst at Oxford Analytica Biography Technology ethics is one of the few senior-leadership topics where the question is harder than the answer sounds, and Stephanie Hare has spent her career working on that gap. Technology Is Not Neutral, her book published by London Publishing Partnership, was named a Financial Times Best Technology Book of summer 2022 and has become a widely referenced practitioner text on how to think about the ethical consequences of AI, biometrics, surveillance and the platforms embedded in modern business operations. Her route to the argument is unusual. She holds a PhD and MSc from the London School of Economics, a BA from the University of Illinois at Urbana-Champaign with a year at the Sorbonne, and held the Alistair Horne Visiting Fellowship at St Antony’s College, Oxford. Her operator record covers Accenture, Palantir and Oxford Analytica, where she was a senior Western Europe analyst, before her current position as an independent researcher and broadcaster. That combination, academic, operator, analyst, gives her the register of each of the three rooms a technology ethics conversation usually has to run through. The media presence is specific. She is a regular contributor to BBC World Television and BBC World Service, was selected for the BBC Expert Women programme and for the Foreign Policy Interrupted fellowship. Her bylines run across the Financial Times, The Washington Post, The Guardian, the Observer, Harvard Business Review and WIRED, which means corporate audiences often recognise the voice before they meet her. The advisory and speaking work sits across the organisations her argument is most relevant to: KPMG, IKEA, LEGO, BAE Systems, CERN, the Royal Society and the Alan Turing Institute. For boards, chief AI officers, chief technology officers and general counsel working through AI governance, biometric deployment and data strategy, Hare is one of the few commentators who can hold the ethics, the technology and the political risk in the same session. Key speaking topics Technology ethics and responsible AI AI governance and regulation Biometrics, surveillance and data strategy Political risk in technology and digital infrastructure Cybersecurity and emerging technology Climate action and the ethics of technology Ideal for Boards, chief AI officers and CTOs making defensible decisions on AI, biometrics and data General counsel, chief risk officers and compliance leaders facing accelerating AI and technology regulation Technology and advisory firms looking for a senior externally credible voice on ethics and governance Scientific institutions, research organisations and public-sector bodies running complex technology-ethics briefs Audience outcomes A working framework, drawn from Technology Is Not Neutral, for making and defending technology-ethics decisions A clearer view of where AI regulation and political risk are moving and how that should shape operating choices Reference material from the book and Hare’s published writing for teams to use internally after the session Cross-sector case examples drawn from her consulting work with KPMG, IKEA, LEGO, BAE Systems and the Alan Turing Institute

Why organisations work with Nell Watson She works at the technical standards layer. As Vice Chair of IEEE P7001 on Transparency of Autonomous Systems, she helps leaders understand what credible AI governance actually contains, not what it sounds like. She runs the policy interface in Europe. As President of the European Responsible AI Office (EURAIO), she has direct sightlines into how regulation will land on regulated industries. Her book Taming the Machine (Kogan Page) won Choice Reviews Outstanding Academic Title in 2025 and the Goody Business Book Award in 2024, giving boards a credible reference document, not a popular-press summary. She has built original research that names AI failure modes. Her Psychopathia Machinalis taxonomy gives executives a vocabulary for the behavioural risks of agentic AI systems before those risks become incidents. She translates between engineers and the C-suite. Her Singularity University faculty role and prior work founding a venture-backed machine-learning company mean she speaks both sides of the room. Biography highlights Author of Taming the Machine: Ethically Harness the Power of AI (Kogan Page, 2024). Choice Outstanding Academic Title 2025. Goody Business Book Award 2024. President and Chair of the Supervisory Board, European Responsible AI Office (EURAIO). Vice Chair, IEEE P7001 Transparency of Autonomous Systems; Chair, IEEE ECPAIS Transparency Experts Focus Group. Associate Faculty (AI and Robotics) and Fellow for Ethics, Singularity University. Senior Fellow, Atlantic Council. Senior Scientific Advisor, Harvard Kennedy School’s Future Society AI Initiative. Founder of Poikos (now QuantaCorp), a machine-learning body-measurement company. Co-founder of EthicsNet and OpenEth. Biography The substance of AI governance lives in technical standards, not in mission statements. The IEEE 7001 standard on transparency for autonomous systems sets out measurable, testable levels of explainability; Nell Watson sits as Vice Chair of that working group. That is the layer where boards either earn defensible AI decisions or do not. She also runs the policy interface. As President of the European Responsible AI Office (EURAIO), she advises organisations on how to operate AI for outcomes that hold up under EU regulation. Few speakers carry both the standards seat and the policy seat at the same time. Most carry one or the other, or neither. Her 2024 book Taming the Machine (Kogan Page) became a reference text quickly, winning Choice Reviews Outstanding Academic Title in 2025 and the Goody Business Book Award in 2024. Alongside it she developed Psychopathia Machinalis, a diagnostic taxonomy for the behavioural failure modes of agentic AI. The taxonomy gives executive teams something they usually lack: vocabulary for what can go wrong inside an AI system before it goes wrong publicly. She is also an operator. She founded Poikos, a machine-learning body-measurement company now trading as QuantaCorp, and teaches AI and Robotics on the Singularity University faculty. The result for an audience is a speaker who can sit between the engineers writing the code and the directors signing off the risk register, and translate without losing precision. Key speaking topics AI ethics and responsible AI governance Transparency and auditability in autonomous systems EU AI Act and the regulatory operating environment Agentic AI risk and behavioural failure modes AI safety and alignment for executive audiences Machine intelligence and the future of work Standards and policy in emerging technology Ideal for Boards and audit committees taking on AI oversight responsibilities Chief Risk, Compliance, and Legal officers in regulated industries CIO, CTO, and Chief AI Officer functions setting governance frameworks Public sector leaders preparing for EU AI Act enforcement Audience outcomes A clear map of where AI governance is being decided, from IEEE standards work to the EU AI Act, and what each layer requires of the organisation. A working vocabulary for agentic AI failure modes, drawn from her Psychopathia Machinalis taxonomy. A direct view of how regulators and standards bodies are framing transparency, bias, and accountability. A sharper sense of which AI investments will survive external scrutiny and which will not.

Why organisations work with Elemi Atigolo He has put a generative AI product through UK financial regulation. Finley AI worked with the FCA Advice Unit on guidance models before evolving into an agentic financial AI agent that institutions integrate by API, which gives him a reference point on supervision and compliance that few AI speakers hold. He has handled the work he now advises on. A wealth manager at HSBC and a partner at St. James’s Place before he co-founded City Wharf Private Wealth, he has dealt with client suitability and adviser workflow first-hand. His thinking is on the record. His 2026 paper on the Agentic Profit Paradox sets out how agentic AI can improve client outcomes while weakening the human-bounded revenue that funds a firm’s margins, which reframes AI from an efficiency question into a question about the business model itself. He works at executive level, not only with technology teams. At Consult Venture Partners he advises boards on where generative and agentic AI changes the operating model and the economics, a conversation that needs someone who has carried both commercial and regulatory responsibility. Biography highlights Managing Partner and co-founder of Consult Venture Partners, advising boards on generative and agentic AI adoption. Founder of the Autonomy Economics framework and author of the 2026 paper “The Agentic Profit Paradox and the Reorganisation of Value Capture”. Co-founder of INATIGO (WealthTech100 2024, selected by FinTech Global from 1,300 companies) and lead developer of Finley AI, now an agentic financial AI agent delivered by API, which engaged the FCA Advice Unit on guidance models. Former HSBC Wealth Manager and former partner at St. James’s Place; co-founder of City Wharf Private Wealth, Highly Commended for Most Innovative Wealth Management Model at the 2021 WealthBriefing European Awards. Member of the Forbes Advisor Advisory Board (since October 2024) and the MIT Technology Review Global Insights Panel; named in the Powerlist Top 30 Tech Titans 2021 for Fintech and Data (Refinitiv/LSEG) and a UK FinTech Awards “Innovator of the Year” finalist. Contributor to FT Adviser and The Banker; featured by The Wall Street Journal, the Financial Times, BBC, CNBC Africa, IBM, and Wealth Adviser; speaker at an Economist Impact summit (2023). Holds a BSc in Computer Science and Distributed Information Systems and an MA in Accounting and Finance. Biography Finley AI went through the UK Financial Conduct Authority’s Advice Unit before most banks had written an AI policy. Built by INATIGO, the company Atigolo co-founded, it began in 2019 as a conversational assistant. It now runs as an agentic financial AI agent that institutions integrate by API. That history anchors his work, at the point where AI in finance meets supervision and the realities of client suitability. His route into AI is unusual. He managed client portfolios at HSBC, became a partner at St. James’s Place, and co-founded City Wharf Private Wealth, a digital wealth firm recognised at the 2021 WealthBriefing European Awards. He has sat on both sides of the client relationship and the technology that now reshapes it. His current research turns that experience into an argument. In a 2026 paper he set out the Agentic Profit Paradox: firms adopt agentic AI to stay competitive, and in doing so erode the human-bounded revenue that produced their margins. He calls the wider field Autonomy Economics, the study of how value capture and commercial defensibility shift once work no longer needs continuous human direction. For a board, the question is rarely what AI can do, and almost always what to build, what to buy, what to govern, and what it does to the business model. Through Consult Venture Partners, where he is Managing Partner, Atigolo answers it as someone who has both written the models and signed the client suitability forms. Key speaking topics Generative AI in financial services AI agents and conversational interfaces in wealth management AI, regulation, and the FCA AI product strategy for regulated firms Client experience and adviser workflow in an AI-enabled firm Fintech innovation and WealthTech AI adoption for finance leaders Ideal for CEOs, COOs, and boards in banking, wealth, asset management, insurance, and private capital setting AI strategy Chief Technology, Data, and AI Officers scoping generative and agentic AI deployment in regulated environments Heads of Advice, Distribution, and Client Experience reworking the adviser-client model Compliance, risk, and regulatory leads assessing AI governance, and executives weighing what autonomous systems do to margins and operating models Audience outcomes A clear view of where generative and agentic AI is already viable in regulated financial services, and where it is not A working vocabulary for AI agents, conversational interfaces, and the governance questions behind them A sharper read on what the FCA and comparable regulators expect when AI touches client guidance A realistic picture of what changes for advisers, clients, and operating models when AI moves from pilot to live A view of how agentic AI can strengthen client outcomes while undermining the revenue that historically funded them, and what that means for strategy

Why organisations work with Elin Hauge She translates AI from a vendor pitch into a leadership decision, naming the mathematics, the data risks and the regulatory exposure in language a board can act on. Her “artificial intelligence and natural stupidity” argument shifts accountability where it belongs, onto the humans designing, training and deploying the systems, which is exactly the framing regulators and litigators are moving to. A working combination of engineering, operational research and ongoing law studies lets her speak credibly across the EU AI Act, model risk and commercial strategy in a single conversation. She sits on non-executive boards, mostly as chair, so she speaks to other board members from inside the same governance problem rather than from a stage. She is rigorous about the limits of AI, including its environmental and human costs, which gives risk and sustainability committees a voice they trust rather than another adoption pitch. Biography highlights MEng in Biophysics and Medical Technology, Norwegian University of Science and Technology. MSc in Management Science and Operational Research, Warwick Business School. Non-executive board director, chair on the majority of her current board positions. Currently in law studies focused on responsible business practice and AI regulation. Featured by Elle Canada on responsible AI development; interviewed by London Speaker Bureau as a futurist and AI strategist. Keynote speaker at international summits including LIMITL3SS 2024 in Romania and PostNord Strålfors Smarter Communication Summit 2024. Biography Boards now sign off on AI commitments without a clear view of where the technology actually adds value, where it introduces risk, and which decisions the EU AI Act will hold them to. Elin Hauge works inside that gap. Her contribution is to convert AI from a procurement conversation into a governance and strategy decision that senior leaders can defend. Her background is unusually wide for the field. An engineering degree in biophysics from the Norwegian University of Science and Technology, an operational research masters from Warwick Business School, more than two decades connecting data-driven technology to commercial value, and current law studies aimed at the regulatory layer. That span lets her move between model behaviour, business case and legal accountability without losing precision in any of them. The argument she returns to is that the dangerous variable in AI is not the algorithm. It is the human assumptions baked into the data and into the decision to deploy. Her framing of “natural stupidity” puts the accountability question back where regulators are putting it, on the people designing and approving the systems. For leadership teams trying to write defensible AI policy, that reframe is the work. She speaks from inside the governance problem, not from outside it. She sits on several non-executive boards, chair on most of them, and has been featured by Elle Canada and the London Speaker Bureau as a voice against irresponsible AI development. Clients including Embriq, HPE Ireland and The Future Work Forum point to the same quality: she cuts through vendor noise and tells executives what is actually decision-relevant. Key speaking topics Artificial intelligence and business strategy AI governance and the EU AI Act Responsible and accountable AI adoption Algorithmic bias and human accountability Digital transformation and leadership decisions Environmental cost of AI and digital infrastructure Data strategy for boards and executive teams Ideal for Boards and CEOs setting AI policy and accountability lines Chief Risk, Compliance and Legal Officers preparing for AI Act enforcement CIO, CDO and CTO leadership teams moving AI from pilots to operating decisions Sustainability and ESG committees assessing the digital footprint of AI deployment Audience outcomes A working mental model of what AI can and cannot do, stripped of vendor language. A clearer view of where accountability sits when an AI system causes harm, and what that means for governance design. Specific reference points for aligning AI deployment with the EU AI Act and adjacent regulation. A sharper read on the trade-offs between digital expansion and environmental and social cost. Confidence to challenge AI proposals at board level using the right questions, not the loudest ones.

Why organisations work with Eric O’Neill He has run the highest-stakes counterintelligence operation in modern US history. When he describes how a long-running insider threat actually unfolds, he is describing his own case file, not a model. His framing reorients cyber defence around the human, not the firewall. Hanssen was an FBI veteran with full system access. Most of today’s breaches still begin with someone trusted being manipulated. He translates espionage tradecraft into language CFOs, general counsel and HR leaders can act on. Deepfake CEO fraud, voice cloning, social engineering and ransomware are explained as familiar intelligence techniques running on new infrastructure. He brings two published books from major trade houses, Gray Day (Crown, 2019) and Spies, Lies, and Cybercrime (HarperCollins, 2025), giving audiences a substantive body of work to follow up with. He is one of the few cybersecurity speakers buyers can hand to a non-technical executive audience without losing them. The Hanssen narrative carries the room; the security argument arrives inside it. Biography highlights Conducted the FBI undercover investigation that led to the arrest of Robert Hanssen, a 25-year FBI veteran convicted on 15 counts of espionage. Author of Gray Day (Crown, 2019) and Spies, Lies, and Cybercrime (HarperCollins, 2025). Founder of The Georgetown Group, a Washington DC investigative and security consultancy, and Nexasure AI. Portrayed by Ryan Phillippe in the 2007 Universal Pictures film Breach. Honours graduate of Auburn University and the George Washington University Law School; admitted to the Maryland and DC bars. Featured across NPR Fresh Air with Terry Gross, CNN, C-SPAN, Fox, Newsweek and TechCrunch. Biography Robert Hanssen had been spying for Moscow for almost two decades when a 26-year-old FBI operative was placed in the office next to him. Hanssen was a 25-year bureau veteran with full clearance, deep technical fluency and a track record of compromising US assets. The operation that exposed him hinged on a single quiet act, the download of an encrypted Palm Pilot, returned to the desk before it was missed. The arrest came on 18 February 2001. That case sits at the centre of Eric O’Neill’s work, but it is not the product. The product is what the case taught him about how serious adversaries actually operate. They study the organisation. They build trust. They exploit the people closest to the asset, not the perimeter. The same logic now drives AI-generated deepfakes, voice-cloned executive fraud, synthetic identity attacks and supply chain compromise. He has built a second career around that translation. The Georgetown Group, his Washington DC consultancy, handles counterintelligence, economic espionage, internal investigations and security risk for corporate clients. Nexasure AI focuses on AI-era threat advisory. Gray Day (Crown, 2019) is the inside account of the Hanssen case. Spies, Lies, and Cybercrime (HarperCollins, 2025) is the operating manual that followed it. He is also a lawyer, admitted to the Maryland and DC bars after law school at George Washington University. That matters in the room. He briefs general counsel, CISOs and boards on cyber and insider risk in language that lands legally as well as operationally, and he does it with the rare authority of someone who has actually run the case. Key speaking topics Cybersecurity and the human attack surface AI-enabled fraud, deepfakes and synthetic identity Insider threat and counterintelligence for corporates Economic espionage and intellectual property protection Ransomware and extortion economics National security lessons for private sector boards Social engineering in the age of generative AI Ideal for Boards, audit committees and CEOs reframing cyber as enterprise risk rather than IT spend CISOs, CIOs and CSOs briefing non-technical executives on insider threat and AI-era attack methods General counsel and CFOs exposed to deepfake fraud, business email compromise and wire authorisation risk Industry conferences in financial services, defence, technology, healthcare and critical infrastructure Audience outcomes A working mental model of how adversaries plan and execute insider compromise, drawn from a real FBI case A practical view of where AI is changing the cost and speed of social engineering, deepfake and identity attacks Specific behavioural and procedural defences against voice cloning, deepfake video and CEO fraud A board-level vocabulary for cyber and counterintelligence risk that does not depend on technical jargon

Why organisations work with FC He is one of a small number of speakers who can describe live, named-method physical and digital intrusion against the kinds of organisations sitting in the audience, because that is his day job at Cygenta. His Wiley-published book “How I Rob Banks” gives a senior audience a credible, written reference point for the work, with more than seventy documented intrusion accounts behind the keynote. He held the Head of Offensive Cyber Research role at Raytheon Missile Systems, which gives him a defence-grade perspective on nation-state threat actors that most commercial security speakers cannot match. He treats cyber security as a culture and behaviour problem, not a technology problem, which is the framing senior leaders need when they are asked to own cyber risk at board level. His material translates from technical demonstration to executive insight without losing either audience, which is rare in the cybersecurity speaker market. Biography highlights Co-founder and co-CEO of Cygenta, a cyber security firm specialising in offensive testing, defensive consulting and security culture. Former Head of Offensive Cyber Research at Raytheon Missile Systems. Author of “How I Rob Banks: And Other Such Places,” published by Wiley in 2023. Featured on Darknet Diaries, Episode 66, one of the most listened-to cyber security podcasts globally. Mainstream media contributor including the BBC (Fake Britain) and ITV. Keynote speaker at named industry events including CPX360, CERN and Intersec. Biography The bank’s physical security policy is usually well written. The CCTV is monitored. The access cards are issued through HR. None of that has prevented FC from walking into the vault, more than once, in jurisdictions across the world, with the bank’s permission and a signed scope of work in his pocket. That is the work behind “How I Rob Banks: And Other Such Places,” published by Wiley in 2023, which collects more than seventy authorised intrusion stories from a career spent breaking into banks, government buildings and multinational corporations to prove how their defences actually fail. The book is a practitioner record, not a thesis, and it is the most credible written artefact in the speaker market on the question of how breaches really happen. The credibility behind the book is operational. FC is co-founder and co-CEO of Cygenta, the cyber security firm he runs alongside Dr Jessica Barker. Before Cygenta, he was Head of Offensive Cyber Research at Raytheon Missile Systems, working on the kind of nation-state threat picture that almost no commercial security speaker has direct line of sight to. He has briefed audiences at CPX360, CERN and Intersec, and his work has been profiled on the BBC, ITV and Darknet Diaries. What a senior audience leaves with is a re-framed view of where their organisation is actually exposed. Cyber security as a board-level capability sits inside the human and procedural layer of the business. FC shows that layer being defeated, with the methods named and the lesson made specific to the people in the room. Key speaking topics Cybersecurity as a board-level risk Physical penetration testing and social engineering Ransomware and phishing as operational threats Nation-state cyber activity Security culture and human behaviour Artificial intelligence in offensive and defensive security Ideal for Boards, audit committees and CISOs reviewing cyber risk ownership at executive level Banking, insurance and critical infrastructure leadership teams hardening physical and digital defences Heads of internal audit, risk and operations responsible for security culture across the workforce Defence, government and regulated-sector audiences engaging with nation-state threat scenarios Audience outcomes A specific picture of how attackers, both criminal and state-sponsored, actually get inside organisations like theirs A reframing of cyber security as a leadership and culture problem, with concrete examples, not as a technology checklist Named methods used in real-world physical and digital breaches, with the defensive lessons drawn from each A clearer view of where board oversight of cyber risk is currently failing, and what it should look like instead

Why organisations work with Gerd Leonhard The androrithms concept – Leonhard’s term for the human qualities (empathy, ethical reasoning, creative judgment) that algorithms cannot replicate – gives leadership teams a governance vocabulary that most AI advisors skip. It moves the conversation from “what can we automate?” to “what must we protect, and why is that a strategic decision?” He co-authored The Future of Music (Berklee Press, 2005), correctly forecasting that streaming would displace ownership as the dominant music model years before the industry accepted it. That verifiable prediction track record is what distinguishes his current AI arguments from speculation that cannot be tested against outcomes. The Ten Megashifts framework – mapping ten concurrent technological forces including digitisation, intelligisation, automation and robotisation as a compound system – gives strategy and transformation teams a tool for testing whether their roadmaps account for the full scope of disruption, not just the most visible trend. The HellVen scenario construct frames technology futures as a governance choice between radically different outcomes rather than as a prediction. It is a practical tool for boards running scenario planning exercises on AI strategy and long-term institutional risk. His 2016 argument that digital ethics would become a mandatory boardroom governance issue was published before AI regulation appeared on any major policy agenda. That argument has since been validated, lending weight to his current positions on AI accountability and corporate responsibility. Biography highlights Author of Technology vs Humanity: The Coming Clash Between Man and Machine (2016), published in 12 languages; co-author of The Future of Music (Berklee Press, 2005) Founder and CEO, The Futures Agency, Zurich; Visiting Professor, Fundação Dom Cabral, São Paulo Fellow of the Royal Society for the Arts (FRSA), London Listed by Wired UK as one of the Top 100 Most Influential People in Europe; named by The Wall Street Journal as “one of the leading media futurists in the World” (2006) Views and interviews published in or featured by The Guardian, Harvard Business Review, Business Insider and Wired UK; TV appearances on BBC, CNN, ARTE and ZDF Berklee College of Music alumnus; Quincy Jones Award recipient (1985); former professional guitarist, composer and digital media entrepreneur, San Francisco Biography When Technology vs Humanity appeared in 2016, it arrived with a central claim: decisions about what to automate are fundamentally ethical decisions, not just operational ones. Boards mostly disagreed. They are now being forced to revisit that judgment. As CEO of The Futures Agency in Zurich, Gerd Leonhard has spent the intervening years building the frameworks leadership teams are now looking for. His most distinctive contribution is the distinction between algorithms and androrithms. Algorithms are the machine rules that govern digital systems. Androrithms – his term – are the human qualities that organisations risk losing when they optimise purely for efficiency: empathy, ethical reasoning, creative judgment, intuition. His Ten Megashifts framework maps ten concurrent technological forces as a compound system rather than a sequence of isolated disruptions. It gives boards a structured analytical lens rather than a single-trend narrative. The credibility of this perspective rests partly on record. Leonhard co-authored The Future of Music (Berklee Press, 2005), arguing that streaming would replace ownership as the dominant music model years before the industry accepted it. That early, accurate forecast – made when conventional wisdom pointed elsewhere – distinguishes his current AI arguments from commentary that arrives after the fact. A Fellow of the Royal Society for the Arts in London and Visiting Professor at Fundação Dom Cabral in São Paulo, Leonhard operates between the academic and advisory worlds. Wired UK lists him among the Top 100 Most Influential People in Europe. His perspective is shaped as much by his career as a professional musician and digital entrepreneur as by any institutional affiliation – a background that gives him a track record of having correctly called the trajectory of technological disruption before it became obvious. Key speaking topics Artificial intelligence and the future of business Digital ethics and AI governance Technology and human values Digital transformation strategy Scenario planning for technological disruption Human-machine relationships and organisational decision-making Sustainability and the future of capitalism Ideal for Boards and C-suite teams setting AI governance policy or approving digital transformation roadmaps Chief Digital Officers, CTOs and technology leadership teams seeking frameworks for responsible AI adoption Strategy and foresight functions building scenario plans around the compound impact of technological disruption Corporate governance, risk and legal teams navigating emerging AI regulation and digital ethics requirements Audience outcomes A practical governance vocabulary for deciding which organisational capabilities should and should not be automated, grounded in the androrithms/algorithms framework A structured map of ten concurrent technological forces (the Megashifts) reshaping strategy, operations and competitive positioning simultaneously Understanding of how digital ethics is transitioning from a values conversation to a governance and regulatory requirement – and what that means for corporate accountability A scenario framework (HellVen) for stress-testing whether current AI strategies are likely to produce outcomes boards would endorse under scrutiny A more calibrated perspective on AI’s near-term trajectory, distinguishing intelligent assistance from AGI and assessing which predictions about the next decade are well-grounded

Why organisations work with Ghislaine Boddington She coined the Internet of Bodies, a named research concept now cited in academic and policy work on biometric data and human enhancement. Few speakers in this space own a defined intellectual territory of their own. Three decades of hands-on practice in body-responsive technology, telepresence, motion capture and immersive design. She speaks from inside the discipline, not from a desk review of it. A long-running co-presenter slot on BBC Digital Planet (BBC World Service) gives her a working week of structured exposure to global technology stories and the ethics around them. Sits inside formal advisory infrastructure: UK Government College of Experts via DCMS, advisory board of the Springer journal AI & Society, Fellow of the Royal Society of Arts. Brings the inclusion dimension to technology conversations without losing the technical thread. Founder of Women Shift Digital, trustee at Stemettes Futures, former lead mentor on Deutsche Bank’s Women Entrepreneurs in Social Tech accelerator. Biography highlights Reader in Digital Immersion, University of Greenwich, School of Design and Creative Industries. Co-founder and Creative Director, body>data>space, an internationally exhibited interactive design collective. Co-presenter, BBC Digital Planet, BBC World Service. Author of “The Internet of Bodies, alive, connected and collective” in AI & Society (Springer, 2021). Adviser, UK Government College of Experts (DCMS); Fellow of the Royal Society of Arts. Recipient of the IX Immersion Experience Visionary Pioneer Award (2017), Society for Arts and Technology, Montreal. Biography Biometric data, immersive interfaces and human enhancement are moving from research labs into mainstream products, and most leadership teams are catching up in real time. Boddington has spent thirty years working inside that shift, first as a practitioner in body-responsive design, then as a research voice on what it means for identity, intimacy and consent. Her concept, the Internet of Bodies, sets out how physical and digital selves are merging through telepresence, biometric sensing, wearables and AI-enabled enhancement. The work appears as a peer-reviewed paper in the Springer journal AI & Society and runs through her keynote programme. The argument is not speculative. It is built from three decades of practice at body>data>space, the design collective she co-founded and still directs. The institutional footprint sits alongside the practice. Reader in Digital Immersion at the University of Greenwich, Fellow of the Royal Society of Arts, adviser to the UK Government’s College of Experts through DCMS, advisory board member at AI & Society. On BBC World Service she co-presents Digital Planet, which keeps her working through global technology stories week by week. Inclusion runs through the work as a technical condition, not a tone. She founded Women Shift Digital, mentors with Stemettes Futures and led Deutsche Bank’s Women Entrepreneurs in Social Tech accelerator. Her case is that immersive and biometric systems built without diverse human input encode the bias from the day they ship. Key speaking topics The Internet of Bodies Biometric data and digital identity Immersive technology and virtual presence Human enhancement and the body as interface AI ethics and embodied technology Inclusion and diversity in emerging tech Future human studies Ideal for Boards and executive teams setting policy on biometric data, AI ethics and immersive customer experience. Technology, product and R&D leaders building wearable, sensor-based or immersive products. Innovation, foresight and strategy functions inside regulated industries (financial services, healthcare, telecoms, media). Conferences and corporate events on the future of work, future human and responsible technology. Audience outcomes A working definition of the Internet of Bodies and what it means for organisations handling biometric, behavioural or sensor data. A sharper view of the ethical and consent issues that sit underneath immersive, wearable and AI-enabled products. A picture of where body-responsive technology is heading over the next five to ten years and which sectors are moving first. A specific argument for why inclusive design is a technical requirement in immersive and biometric systems, not a values statement.

Why organisations work with Glen Weyl He is the working bridge between three of the people who matter most in this debate: Vitalik Buterin on Ethereum and Web3, Jaron Lanier on AI and data, and Audrey Tang on civic technology. Senior teams get one room with the network, not three separate conversations. He co-invented Quadratic Voting and Quadratic Funding, mechanisms now used inside crypto ecosystems, civic budgets, and corporate innovation funds. Boards looking at participatory capital allocation are looking at his work, often without knowing it. He led Microsoft’s Office of the CTO work on the OpenAI relationship and now runs Microsoft Research’s Plural Technology Collaboratory. He has seen the inside of how the largest AI partnership in the world is governed, and can talk about it candidly. His book Radical Markets, written with University of Chicago law professor Eric Posner, was named an Economist Book of the Year in 2018 and changed how serious economists discuss property, voting, and antitrust in a digital economy. He works in the same language as policymakers in Taiwan, the EU, and the US Treasury, which makes him unusually useful to organisations whose AI exposure is also a regulatory exposure. Biography highlights Founder and Research Lead, Plural Technology Collaboratory, Microsoft Research. Former Political Economist and Social Technologist, Microsoft Office of the CTO, including the leadership team for the OpenAI relationship. Co-author, Radical Markets, Princeton University Press, 2018; an Economist Book of the Year. Co-author with Audrey Tang of Plurality: The Future of Collaborative Technology and Democracy, 2024. Founder, RadicalxChange Foundation; co-founder and chair, Plurality Institute; co-founder, Harvard GETTING-Plurality Research Network. Named by CoinDesk, WIRED, and Bloomberg Businessweek on their respective lists of most influential people in technology, 2018. Biography Most institutions designed for the industrial economy do not have a good answer to generative AI. Voting systems, ownership rules, antitrust law, and corporate governance were all written for a world where the most powerful entities in a room were human. Glen Weyl’s career has been a sustained attempt to redesign those institutions for a world where they are not. His 2018 book with Eric Posner, Radical Markets, was an Economist Book of the Year and forced a new conversation about property, voting, and antitrust inside serious policy circles. Out of that work came Quadratic Voting and, with Vitalik Buterin, Quadratic Funding. Both are now in operational use in civic budgets and Web3 ecosystems, including projects funded by Ethereum. At Microsoft, he sat inside the Office of the CTO during the period when the company’s relationship with OpenAI became one of the most consequential commercial arrangements in technology. He now runs the Plural Technology Collaboratory, Microsoft Research’s special project on how democratic societies function under generative AI, working with Taiwan’s Audrey Tang, with Harvard, and with civil society groups including the Collective Intelligence Project. His 2024 book with Tang, Plurality, was written openly on GitHub and translated by volunteers into more than a dozen languages, an unusual proof point that the governance ideas in it actually work in practice. For a board trying to decide what AI legitimacy means inside its own organisation, that record makes him one of the few people in the world worth bringing into the room. Key speaking topics Generative AI and democratic institutions Plurality and collaborative technology Quadratic Voting and Quadratic Funding Web3, decentralised identity, and digital ownership Antitrust and platform competition Data as labour and the economics of AI training Ideal for Boards and CEOs setting AI governance and partnership strategy Government, regulator, and central bank audiences on AI and digital policy CTOs and Chief AI Officers working on legitimacy and deployment frameworks Foundations, philanthropic capital allocators, and corporate venture funds rethinking how they fund collective goods Audience outcomes A clearer view of how AI partnerships at the scale of Microsoft and OpenAI are actually governed. A working vocabulary for Quadratic Voting, Quadratic Funding, and Plurality, with concrete examples of where each is operating. A sharper sense of where current antitrust, data, and AI regulation is heading in the US, EU, and Asia. Specific design ideas for participatory decision-making inside large organisations, not generic engagement theory.

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