Éthique de l'IA et technologie responsable

Why organisations work with Limor Ziv She closes the gap between AI governance theory and AI commercial performance, with named client work at Google, KPMG, Bright Data, SolarEdge, and Medison Pharma. Humane AI was selected by Meta among 2025’s most promising AI startups; she sits on the Scientific Council of the Israeli Association for Ethics in AI. Her peer-reviewed research with 74 senior AI and data professionals (MDPI, 2025) gives boards a working diagnostic for the breakdowns that destroy AI value, from data and governance to context and business alignment. She works the practitioner seam between academic credibility and commercial deployment, the same person teaches the lecture and runs the workshop afterwards. Operator credibility on the women-in-AI question, with public roles in Israel’s data and ethics communities, without converting that into a separate keynote category. Biography highlights Founder and CEO, Humane AI, selected by Meta among 2025’s most promising AI startups. Postdoctoral fellowship in Human-AI Interaction; Ph.D., Tel Aviv University, where she was named to the “100 Outstanding Lecturers” list. Co-author, “Behind the Algorithm: International Insights into Data-Driven AI Model Development” (MDPI, 2025), based on interviews with 74 senior AI and data professionals. Scientific Council member, Israeli Association for Ethics in AI (IAEAI). Named keynote and consulting work for Google, KPMG, Bright Data, SolarEdge, Medison Pharma, government ministries, and municipalities including Tel Aviv. Biography AI investments are returning less than executive committees expected, and regulatory scrutiny is rising in parallel. The two pressures meet at the same operational layer, where most AI deployments quietly fail. Dr. Limor Ziv built Humane AI to work at that seam. The company was selected by Meta among 2025’s most promising AI startups. In a keynote, she takes apart the hidden risks built into everyday algorithms and gives senior audiences practical ways to govern AI systems and to lower the exposure they create. She works with organisations to capture the upside of AI and avoid the failure modes that come with deploying it. The research underwrites the consulting. Her 2025 paper with Maayan Nakash in MDPI’s Machine Learning and Knowledge Extraction draws on interviews with 74 senior AI and data professionals across countries and sectors. The recurring breakdowns it surfaces are the same ones that destroy commercial performance: weak data quality, missing context, governance gaps, and business misalignment. Her client base spans government ministries and municipalities, universities, and technology companies, including Google, KPMG, Bright Data, SolarEdge, and Medison Pharma. She lectures in graduate programmes at universities and was named to Tel Aviv University’s list of 100 Outstanding Lecturers. The brief is consistent across them: make AI deployments that earn their investment and hold up when someone audits the decisions. Key speaking topics Responsible AI and AI ethics AI risk management and compliance AI governance and regulatory readiness Data quality and data-centric AI Human-AI interaction and human-centred design Realising value from AI investment AI in regulated sectors, including healthcare and finance Operationalising responsible AI in the enterprise Ideal for Boards and executive committees accountable for both the return on AI investment and the defensibility of the AI systems they sign off. Chief AI officers, chief data officers, and CISOs operationalising responsible AI policy while showing it earns its cost. Regulated-industry leadership in healthcare, financial services, and public sector wrestling with AI deployment under compliance pressure. Heads of AI, innovation, and transformation under pressure to show a return on AI spend without creating regulatory exposure. Audience outcomes A working definition of AI risk that distinguishes data risk, model risk, and decision risk, and a sense of where each lives in the organisation. A view of what AI deployment actually demands of operating teams, drawn from her empirical research with 74 senior practitioners across countries and sectors. A grounded read on the live regulatory and ethical debates, from a Scientific Council member of the Israeli Association for Ethics in AI. An honest read on the gap between what AI investments cost and what they return, and on the operating work that decides whether the gap closes.

Why organisations work with Liv Boeree She gives boards a vocabulary, “Moloch traps,” for the race-to-the-bottom dynamics they already feel in AI deployment, pricing, and risk-taking, and a framework for naming when their organisation is inside one. Her decision-making content is grounded in nine years as a Team PokerStars Pro and a European Poker Tour championship, not theory. Senior leaders take her seriously on probability, expected value, and tilt because she has earned the right to teach it. She is one of the few speakers who can connect operator-level judgement under uncertainty to the systemic question of how the AI industry coordinates. That range matters for boards trying to hold both perspectives at once. Through Raising for Effective Giving, which she co-founded, she has moved more than twelve million dollars into evidence-weighted causes including AI safety. Her stance on responsible technology is backed by her own capital allocation, not just rhetoric. Her TED main-stage talk on competition in AI gives buyers a known reference point and an audience already primed to engage with the argument. Biography highlights First-class degree in Physics with Astrophysics, University of Manchester. European Poker Tour Sanremo champion and World Series of Poker bracelet winner; nine years as a Team PokerStars Pro. TED main-stage speaker, “The Dark Side of Competition in AI.” Co-founder, Raising for Effective Giving (REG), which has directed over twelve million dollars to high-impact causes. Host of the Win-Win Podcast, applying game theory to AI, climate, and coordination problems. Featured guest on The Jim Rutt Show and Ground Truths with Eric Topol, among other named outlets. Biography The AI industry is in a race that few of its participants would, on reflection, choose to be running. Speed is rewarded, caution is punished, and the incentive landscape pulls each lab away from the safety posture its own people quietly believe in. Liv Boeree calls this a Moloch trap, after the game-theoretic force that turns competition between rational actors into outcomes none of them want. Her route into that argument is unusual. She trained as a physicist at the University of Manchester, then spent nine years as a Team PokerStars Pro, winning a European Poker Tour championship and a World Series of Poker bracelet. Poker taught her a vocabulary for thinking under uncertainty: expected value, calibration, tilt, the difference between a bad outcome and a bad decision. That vocabulary now sits at the centre of how she talks to leadership audiences about judgement. In 2014 she co-founded Raising for Effective Giving, which has channelled over twelve million dollars from the poker community into causes including AI safety, disease prevention, and farm animal welfare. Her TED main-stage talk, “The Dark Side of Competition in AI,” extended the same argument to the largest technology firms: industries can be steered into outcomes the individual players inside them do not endorse, and the only way out is deliberate coordination. Her current work runs through the Win-Win Podcast and a steady cadence of writing and broadcast appearances on AI risk, governance, and how serious organisations should act inside competitive races. For boards and executive teams trying to hold both the operator’s question, what is the right next decision, and the systemic question, what game are we actually in, she offers a rare combined view. Key speaking topics AI race dynamics and Moloch traps Decision-making under uncertainty Game theory for leaders AI safety and alignment Effective philanthropy and capital allocation Probability, calibration, and forecasting Ideal for Boards and executive committees setting AI strategy and risk posture Chief Risk Officers, Chief AI Officers, and heads of AI governance Senior leadership offsites focused on judgement and decision-making under uncertainty Investor and philanthropic audiences weighing high-uncertainty capital allocation Audience outcomes A working definition of Moloch traps and a way to spot them inside their own competitive context. A sharper distinction between a bad decision and a bad outcome, drawn from professional poker practice. A more honest read of where AI industry incentives are pushing their organisation, and where governance can credibly intervene. A vocabulary for talking about expected value, calibration, and risk that travels between the boardroom and the operating team.

Why organisations work with Lolita Taub She runs a working venture fund built on the community-as-moat thesis, so the argument is tested against capital decisions every week, not theorised from the outside. She has sat on both sides of the cap table: $50M-plus in enterprise tech sold at IBM and Cisco, then 100-plus pre-seed and seed investments through Backstage Capital, The Community Fund and Ganas Ventures. She built Ganas Ventures as the first Latina-led traditional VC fund using a public fundraising structure under SEC Rule 506(c), which gives her direct experience of investor access as a design problem, not a diversity slogan. Her audience network of 90,000-plus founders, funders and operators, plus a 22,000-subscriber newsletter, is itself proof of the playbook she teaches. Biography highlights General Partner and founder, Ganas Ventures, investing pre-seed and seed across the US and Latin America. Co-founder of The Community Fund with Jesse Middleton and Flybridge, a $5M vehicle backing community-driven startups. Forbes 30 Under 30 Finalist; World Economic Forum Global Shaper across San Diego, Madrid and New York hubs. 2x TEDx speaker; keynote stages at Meta, Zoom, Stanford and Harvard. 2025 Stella Foundation Lifetime Achievement Award; 2025 ¡HOLA! Latina Powerhouse in the Disrupters category. MBA, IE Business School; BA International Relations, University of Southern California. Biography Most early-stage companies are built on a marketing assumption that no longer holds. Distribution channels are saturated, paid acquisition costs keep climbing, and customers move on the moment a cheaper alternative appears. The companies that survive are the ones whose users, contributors and earliest believers feel ownership over the product, and that is a structural design choice, not a campaign. Ganas Ventures was built around that observation. As General Partner and founder, Taub invests pre-seed and seed cheques into community-driven companies across the US and Latin America, and runs the fund itself as a community of operators, angels and LPs rather than a closed institutional vehicle. Before Ganas, she co-founded The Community Fund with Jesse Middleton and Flybridge, a $5M fund seeding the same thesis into 100 startups. The argument has weight because she sold the technology stack before she invested in it. Seven-plus years at IBM and Cisco produced the first US Cloud sale at QAD and the first Cisco IoT Connected Cities project, and a track record across data analytics, security and cloud. She then moved through Backstage Capital, Indie.VC, K Fund and NextGen Venture Partners, and now sits on more than 100 portfolio cap tables. Outside the fund, she is a 2x TEDx speaker and World Economic Forum Global Shaper who has keynoted at Meta, Zoom, Stanford and Harvard. The 2025 Stella Foundation Lifetime Achievement Award and a place on ¡HOLA!’s Latina Powerhouse list recognise a working venture practice, not a personal story. Key speaking topics Community as commercial moat Early-stage venture strategy Building investor and founder networks Underestimated founders and capital access Latin America and US cross-border tech Responsible AI and bias in product Inclusive investing and Rule 506(c) fund design Ideal for Founders and operating teams at pre-seed through Series A Corporate venture, innovation and ecosystem leads building community plays CMOs and growth leaders rethinking brand around customer ownership LP and family office audiences allocating to emerging-manager strategies Audience outcomes A working definition of community moat that can be applied to a specific product, not a generic brand claim A view of how early capital is actually allocated to community-driven companies, from a GP writing those cheques Practical reference points from 100-plus portfolio investments, including what separates a real community from an audience A grounded reading of how inclusion shows up in commercial strategy and fund design, away from political signalling Direct exposure to the US and Latin America early-stage landscape from an investor active on both sides

Why organisations work with Lorraine Hariton Six years leading Catalyst, the global nonprofit whose research and benchmarks Fortune 500 boards already use to evaluate their own progress on women’s advancement. Operating background that buyers in male-dominated executive teams take seriously: 15 years at IBM, CEO of two Silicon Valley start-ups, Obama-appointed State Department official. Specific authority on the measurement question. Catalyst’s frameworks on emotional tax, empathic leadership, and inclusion assessment were developed and scaled during her tenure. Credible on the intersection of bias and emerging technology, including how gender and racial bias enter AI systems through data and design choices. Biography highlights President and CEO of Catalyst from 2018 to 2024. Special Representative for Commercial and Business Affairs at the US State Department under President Obama. CEO of two venture-backed Silicon Valley companies, Beatnik and Apptera. Senior Vice President of Global Partnerships, New York Academy of Sciences; co-founder of the Global STEM Alliance and the 1000 Girls, 1000 Futures programme. Inaugural Women’s Leadership Champion Award, University of Virginia Darden School of Business, 2022. Crain’s New York Business Women of Influence, 2023. BS Stanford University, MBA Harvard Business School. Biography Catalyst is the research organisation whose data Fortune 500 boards quote back to themselves when they discuss the women-in-leadership gap. For six years that organisation was run by Lorraine Hariton, an operator with credentials those same boards understand: fifteen years at IBM, two CEO roles at venture-backed Silicon Valley companies, an Obama-administration appointment representing US commercial interests at the State Department. That mix matters because the audience for serious DEI work has shifted. Senior teams now want practitioners who can speak the language of operating performance and capital discipline, not advocacy. At Catalyst, Hariton oversaw the development of frameworks used inside member companies on emotional tax, empathic leadership, and inclusion measurement, the kind of artefacts that survive contact with a sceptical executive committee. Her work addresses the credibility gap between public DEI commitments and observable workplace outcomes. She speaks directly to the failure mode senior leaders fear most, performative policy that produces no change and erodes employee trust. She also works on how gender and racial bias enter AI systems through training data, an issue most executive teams are still under-prepared for. The University of Virginia Darden School of Business presented her with its inaugural Women’s Leadership Champion Award in 2022. Crain’s named her to its Women of Influence list the following year. Her holistic view of where women’s advancement sits within an organisation, alongside compensation strategy, capital allocation, and technology governance, is what makes her useful in a boardroom rather than at a conference panel. Key speaking topics Gender equity and women’s advancement in senior leadership Inclusion measurement and DEI accountability Bias in artificial intelligence and emerging technology Workplace culture transformation Future of work and flexible workplace design Empathic and inclusive leadership practice Ideal for CHROs, Chief Diversity Officers, and CEO offices commissioning a measurable advancement strategy for women in senior leadership Boards and nominating committees evaluating their own pipeline credibility Senior leadership teams in male-dominated industries (financial services, technology, energy, industrials) working on inclusion outcomes that hold up to scrutiny Companies building governance around bias and fairness in AI deployment Audience outcomes A clearer picture of what credible DEI measurement looks like, drawn from Catalyst’s published frameworks A sharper grasp of where bias enters AI systems and what executive teams should be asking about it Direct exposure to a practitioner who has worked with the leadership teams of many of the world’s largest employers on this agenda A more confident vocabulary for senior leaders, particularly men in executive roles, to engage with women’s advancement as a business strategy issue rather than a compliance one

Why organisations work with Luciano Floridi His AI4People framework, developed in 2018 and formally adopted by the European Commission’s High-Level Expert Group on AI in 2019, is one of the intellectual foundations of the EU AI Act – the world’s first major AI regulation. Organisations engaging him are drawing on the reasoning that shaped it. The Fourth Revolution (Oxford University Press, 2014) introduced the “infosphere” and “onlife” frameworks – giving organisations a principled vocabulary for what happens to human agency, identity, and accountability when AI systems become environmental forces rather than discrete tools. He holds a specific, counterintuitive argument – that AI is a new form of agency rather than a new form of intelligence – with direct consequences for how boards assign responsibility, structure oversight, and communicate accountability to regulators. His advisory work spans the European Commission, the German Ethics Council, the UK Cabinet Office, and companies including Google, IBM, and Microsoft – grounding his perspective in the institutional realities of AI governance, not abstracted from them. His five-volume tetralogy on the philosophy and ethics of information, published by Oxford University Press, is the most systematic academic treatment of the field – giving organisations access to a structured intellectual architecture that briefings and AI ethics summaries cannot replicate. Biography highlights Founding Director, Digital Ethics Center, Yale University; John K. Castle Professor in the Practice of Cognitive Science Formerly OII Professor of Philosophy and Ethics of Information, University of Oxford, and Director of the Oxford Internet Institute’s Digital Ethics Lab Chair, AI4People Scientific Committee (2018); framework adopted by the European Commission’s HLEG on AI in 2019 and foundational to the EU AI Act Author of over 300 works; books include The Ethics of Artificial Intelligence (OUP, 2023), The Fourth Revolution (OUP, 2014), and The Philosophy of Information (OUP, 2011) Knight of the Grand Cross of the Order of Merit of the Italian Republic (2022) – Italy’s highest national honour; IBM Thinker Award; Barwise Prize, American Philosophical Association Editor-in-Chief, Philosophy & Technology (Springer Nature), since 2010 Biography Most AI governance conversations begin with the technology and arrive at the harder questions only under pressure. What AI does to human agency, to accountability structures, and to the nature of responsibility inside organisations cannot be resolved by technical frameworks alone. Luciano Floridi has spent three decades building the conceptual tools that fill that gap. His 2014 book The Fourth Revolution (Oxford University Press) introduced the “infosphere” and “onlife” frameworks – arguing that digital technologies constitute a fourth revolution in human self-understanding, comparable in scale to those of Copernicus, Darwin, and Freud. His more recent work positions AI as a new form of agency rather than a new form of intelligence. That distinction has direct implications for how organisations assign accountability and design oversight structures. That thinking has had direct regulatory consequences. As chair of the AI4People Scientific Committee, Floridi developed the ethical framework the European Commission’s High-Level Expert Group on AI formally adopted in 2019. It underpins the EU AI Act – the world’s first major AI regulation. He also served on the HLEG itself. His advisory work spans the European Commission, the German Ethics Council, the UK Cabinet Office, and companies including Google, IBM, and Microsoft. Since 2023, he has been Founding Director of Yale University’s Digital Ethics Center, where he holds the John K. Castle Professorship in the Practice of Cognitive Science. He has published more than 300 works and serves as Editor-in-Chief of Philosophy & Technology (Springer Nature). In 2022 he was awarded the Knight of the Grand Cross of the Order of Merit of the Italian Republic – Italy’s highest national honour. Key speaking topics AI ethics and digital governance Philosophy of information The EU AI Act and responsible AI regulation Organisational accountability in AI-mediated environments Data protection and digital rights Generative AI: agency, not intelligence The infosphere and the digital transformation of human identity Ideal for Boards and C-suite leadership teams making decisions about AI deployment and governance risk Chief Digital Officers, Chief Technology Officers, and Chief Risk Officers navigating AI regulation Regulatory, legal, and compliance functions operating under the EU AI Act or preparing for digital governance frameworks Government bodies and public sector organisations designing AI oversight structures Audience outcomes A working framework for understanding why existing AI governance policies often fail to address questions of accountability – and what a principled alternative looks like Familiarity with the “infosphere” and “onlife” concepts from The Fourth Revolution and their application to organisational decision-making A clear account of the “agency without intelligence” argument – and what it means for how organisations assign responsibility and structure oversight Practical orientation on the EU AI Act’s intellectual foundations and what genuine compliance requires beyond procedural checkboxes Insight into how governments, regulators, and major technology companies are approaching AI governance from someone who has participated directly in shaping those frameworks

Why organisations work with Mara Balestrini Her governance frameworks are not conceptual – the Bristol Approach and the City Commons Framework (published at ACM CHI 2017) were developed with real institutions, in real urban systems, and have influenced urban data policy beyond their original contexts. Organisations get tested models, not white papers. She has operated at the level of national AI policy, serving as cabinet advisor to Spain’s Secretary of State for Digitalization and AI. That gives her a direct, non-theoretical understanding of how regulatory and governance frameworks are made – and where they typically fall short. Her tenure leading digital transformation and responsible AI at IDB Lab, including the fAIr LAC+ initiative, means she has applied these frameworks inside a multilateral institution managing large-scale technology programmes across 23 countries. The challenges she addresses are not hypothetical. Her research sits at the intersection of HCI, IoT, and responsible AI governance – cited over 1,500 times and recognised by ACM CHI, ACM CSCW, and Ars Electronica. That academic grounding gives organisations the analytical vocabulary to move from AI deployment to AI accountability. As co-founder of SalusCoop, the first Spanish cooperative for citizens’ health data, she has demonstrated that the data governance models she advocates are viable as operating organisations, not just policy positions. Biography highlights PhD in Computer Science, Intel Collaborative Research Institute on Sustainable Connected Cities (ICRI-Cities), University College London Former CTO and Digital Transformation Lead, IDB Lab (Inter-American Development Bank Innovation Laboratory); contributor to fAIr LAC+, a dedicated initiative on responsible AI adoption across Latin America and the Caribbean Currently CEO of LNET, the global blockchain infrastructure nonprofit and executing agency for IDB Lab, operating across 23 countries Former cabinet advisor to Spain’s Secretary of State for Digitalization and Artificial Intelligence Former CEO and Partner, Ideas for Change; originator of the City Commons Framework (ACM CHI 2017) and co-developer of the Bristol Approach with Bristol City Council Co-founder, SalusCoop, the first Spanish cooperative for citizens’ health data Over 30 academic publications; 1,584+ citations on Google Scholar; awards from ACM CHI, ACM CSCW, and Ars Electronica Covered by BBC, The Guardian, the Financial Times, and El País; TEDx speaker (TEDxCordoba, 2018); Research Fellow, ESADE EsadeGov Center for Public Governance Biography Mara Balestrini’s core argument is that AI and digital transformation strategies fail not because the technology is wrong, but because the governance is built after the fact, not before. From European Commission-funded research to Spain’s national AI policy office to the Inter-American Development Bank, she has spent two decades building the frameworks to reverse that sequence. Her doctoral work at UCL’s Intel Collaborative Research Institute on Sustainable Connected Cities produced the City Commons Framework, published at ACM CHI 2017 – a model for embedding citizen governance into data-driven systems from the design stage. She co-developed the Bristol Approach with Bristol City Council and KWMC, a commons-based methodology for participatory sensing that reframes smart city investment around citizen priorities rather than technical capability. She also coordinated Making Sense, a European Commission H2020-funded project that turned community-owned environmental sensors into a platform for civic action at scale. From that research base she moved into national policy, serving as cabinet advisor to Spain’s Secretary of State for Digitalization and AI – one of the few HCI researchers to have held a position at that level of government. She then took the role of CTO and Digital Transformation Lead at IDB Lab, where she contributed to fAIr LAC+, the Inter-American Development Bank’s initiative on responsible AI adoption across Latin America and the Caribbean. She is currently CEO of LNET, the global blockchain infrastructure nonprofit that evolved from LACChain and now connects governments, multilateral organisations, and the private sector across 23 countries. Her research, cited over 1,500 times, spans HCI, IoT, and responsible AI governance. It has been recognised by ACM CHI, ACM CSCW, and Ars Electronica, and covered by the BBC, the Financial Times, The Guardian, and El País. Key speaking topics Responsible AI governance and institutional accountability Digital transformation strategy for public and civic institutions Civic technology and citizen participation in technology design Smart cities and urban data governance Data rights and cooperative data models Emerging technology governance (blockchain, Web3) for institutions AI policy and regulation from a practitioner perspective Ideal for Chief Digital Officers and Chief Data Officers navigating AI governance, data strategy, and responsible technology deployment Public sector executives and government leads managing AI policy, digital transformation, or regulatory frameworks Boards and senior leadership teams weighing institutional accountability in large-scale AI or data programmes Transformation leads and innovation directors in multilateral organisations, development banks, or international institutions Audience outcomes A working distinction between AI deployment and AI governance, and why confusing the two produces predictable failures at scale Familiarity with tested, named governance frameworks (Bristol Approach, City Commons Framework, fAIr LAC+) that can be adapted beyond urban or government contexts A clearer understanding of where current AI and digital transformation strategies most commonly break down, and what designing governance in from the start actually looks like in practice An informed view of how national AI policy is being shaped, drawn from direct government advisory experience rather than secondary analysis Practical reference points for designing responsible AI strategies that are accountable to stakeholders before they are deployed, not after

Why organisations work with Marcel Pesch He runs a structured AI executive education programme, MMAI, with practitioner faculty drawn from Deutsche Bahn, E.ON, Strategyzer, and academic and legal specialists. Few keynote speakers come with their own curriculum. His material covers the full operating stack: generative AI, data science, AI Act compliance, automation and agents, and leadership in the AI era. Audiences leave with a managerial map, not a tour of tools. He treats fairness, bias, and equality of opportunity as operating problems for organisations deploying AI, not as a separate ethics conversation. Fifteen years of coaching practice underpins the keynote register. Sessions translate into how managers behave on Monday, not just what they understood on Friday. Active member of the German AI Association (KI Bundesverband), with a stated engagement in AI standards and ethical guidelines. Biography highlights Founder of academy4.ai, an AI education and training organisation Designer of the MMAI (Master Management with AI) programme, a nine-module cohort-based course covering AI strategy, compliance, and deployment Faculty network on MMAI includes Prof. Dr. Johannes Stübinger (HS Coburg), Dr. Kristina Schreiber (LOSCHELDER), and practitioners from Deutsche Bahn, E.ON, and Strategyzer Member of the German AI Association (KI Bundesverband) Over 15 years of professional coaching experience with individuals and organisations Keynote topics include “AI on Steroids”, “AI & Diversity and Inclusion”, “AI & Inequality of Opportunity”, and “AI & the Workforce of Tomorrow” Biography Most companies have already bought into AI. The harder question is whether their managers can use it well: govern its decisions, interrogate its outputs, and redesign work around it. That is the gap Marcel Pesch built academy4.ai to close. Through the MMAI (Master Management with AI) programme, Pesch and his faculty take working professionals through nine modules covering generative AI, data science, AI Act compliance, marketing and sales applications, automation and agentic systems, sustainability, project management, and leadership in the AI era. Faculty draw on academic specialists, legal experts at LOSCHELDER, and practitioners from Deutsche Bahn, E.ON, and Strategyzer. Alongside the curriculum, Pesch speaks publicly on the harder political content of AI deployment: bias in algorithmic systems, equality of opportunity, and the way AI is reshaping who gets which jobs. He is a member of the German AI Association (KI Bundesverband), engaged in standards and ethical guidelines for the field. Fifteen years of coaching shape his keynote register. Sessions are designed to leave senior audiences with a managerial map of where AI changes their work, where it does not, and where the next governance and fairness decisions will sit. Key speaking topics AI literacy for managers and executives Operationalising AI beyond pilots AI Act and regulatory compliance for business leaders Bias and equality of opportunity in algorithmic systems Automation and agentic systems in the workplace The AI-era workforce and future skills Leading teams in AI-augmented organisations Ideal for C-suite teams and senior managers preparing to deploy AI across operations Heads of HR, transformation, and learning planning AI workforce upskilling Boards seeking a structured view of AI governance, compliance, and risk DEI and ethics leads working with technical teams on algorithmic fairness Audience outcomes A practical map of where AI changes managerial work and where it does not Sharper language for governing AI decisions, model outputs, and vendor claims A clearer view of bias and equality-of-opportunity questions in algorithmic systems A workable next step for AI literacy across leadership and team levels

Why organisations work with Margarida Matos Rosa She has run a national competition regulator from the inside. Decisions on banking, telecoms, energy, health, digital services and advertising cartels passed across her desk between 2016 and 2023, giving her a working view of how cases are built, prioritised and defended. She has sat at the policy table that shapes EU and global competition rules, as ICN Vice-Chair for Growth and Recovery and as a Bureau member of the OECD Competition Committee. Few speakers can read the regulatory direction of travel from inside both bodies. Her background bridges competition policy and capital markets. Earlier roles at the Portuguese Securities Market Commission and at BNP Paribas, Santander Investment and UBS Bank mean she speaks credibly on the Savings and Investments Union, financial regulation and the cost of capital, not only antitrust. She translates regulation into board language. Boards leave with a sharper view of how competition enforcement, digital rules and capital markets integration affect their pricing, M&A pipeline and growth assumptions. Biography highlights President of the Portuguese Competition Authority, 2016 to 2023. Vice-Chair, International Competition Network (Growth and Recovery), 2022 to 2023. Bureau member, OECD Competition Committee, elected by peer authorities. Senior Consultant, Compass Lexecon International practice. Former Managing Director, Portuguese Securities Market Commission (CMVM), investment management supervision. Earlier career at BNP Paribas, Santander Investment and UBS Bank in economic research, investment banking and asset management. MPA, Princeton University. Economics degree, Université Catholique de Louvain. Fulbright scholar at MIT. Biography Competition policy used to sit in a corner of corporate strategy: a compliance file, occasionally a deal-breaker, rarely a board-level lens. That has changed. Digital markets rules, merger thresholds and cartel enforcement now move pricing, investment and M&A decisions across whole sectors, and the EU is moving on capital markets integration in parallel. Margarida Matos Rosa led Portugal’s competition regulator through that shift. As President of the Autoridade da Concorrência from 2016 to 2023, she oversaw enforcement decisions across banking, telecoms, energy, health, digital services and advertising, and built up the authority’s technical capability in AI and IT forensics for cartel detection. Her tenure is widely credited with raising the authority’s international standing. That national role sat alongside two international ones. She was elected by peers to the Bureau of the OECD Competition Committee, and was appointed Vice-Chair of the International Competition Network for Growth and Recovery in 2022, a portfolio focused on the interface between antitrust and macro-economic policy after the pandemic. She now advises clients of Compass Lexecon’s International practice as a Senior Consultant. Her earlier career gives her an unusually wide read of the regulatory landscape. Before competition policy, she ran investment management supervision at Portugal’s Securities Market Commission, and held roles at BNP Paribas, Santander Investment and UBS Bank covering economic research, investment banking and asset management. That financial markets grounding is what makes her credible on the Savings and Investments Union and on how capital allocation responds to a tighter EU regulatory perimeter. Key speaking topics Competition policy and antitrust enforcement EU single market and strategic autonomy Digital markets regulation Productivity and AI in regulated markets Savings and Investments Union and capital markets integration Financial regulation and capital markets oversight Institution building in economic regulators Ideal for Boards and executive committees of regulated firms in banking, telecoms, energy, digital and consumer markets General counsels, heads of strategy, heads of M&A and chief economists managing competition and digital regulation exposure CFOs and treasurers reading EU capital markets and Savings and Investments Union signals Policy and government affairs leaders shaping engagement with national and EU competition authorities Audience outcomes A clearer read on how EU and national competition enforcement is moving, and where it is likely to bite next A working understanding of how digital markets rules interact with innovation, pricing and platform strategy A view from inside a regulator on how cases are prioritised, built and resolved A sharper sense of how the Savings and Investments Union and capital markets integration affect cost of capital and cross-border deals A practical framework for engaging credibly with competition authorities, the European Commission and the OECD

Why organisations work with Maria Ressa She has tested platform governance arguments against actual prosecution, exile threats and a coordinated state-backed disinformation campaign, which gives her a clarity on digital risk that academic experts rarely match. As co-founder of the Real Facebook Oversight Board and co-leader of Columbia’s Technology and Democracy Initiative, she sits at the centre of the policy conversation shaping how governments will regulate platforms and AI. Her Nobel citation specifically named the defence of free expression as a precondition for democracy, giving leadership and ESG audiences a credible voice on information integrity as a governance issue, not a communications one. She runs a working newsroom that has documented platform manipulation in real time, so her arguments come with primary evidence rather than secondary commentary. How to Stand Up to a Dictator gives her a published thesis on the architecture of digital authoritarianism that boards and policy teams can engage with in advance of a session. Biography highlights 2021 Nobel Peace Prize laureate, jointly with Dmitry Muratov, for work safeguarding freedom of expression. Co-founder and CEO of Rappler, the Manila-based investigative news organisation she launched in 2012. Professor of Professional Practice, Columbia University School of International and Public Affairs; Distinguished Fellow and co-leader of the Technology and Democracy Initiative at SIPA’s Institute of Global Politics. Author of How to Stand Up to a Dictator (Harper, 2022), a New York Times bestseller, and Seeds of Terror (2003). 2021 UNESCO Guillermo Cano World Press Freedom Prize; 2018 Golden Pen of Freedom from the World Association of News Publishers. Time Person of the Year 2018; Time 100 Most Influential People; BBC 100 Women. Nearly two decades as CNN bureau chief in Manila and Jakarta; former SVP for News and Current Affairs at ABS-CBN. Biography The 2021 Nobel Peace Prize citation named freedom of expression as a precondition for democracy. It was the first time since 1935 that the prize had been given to working journalists, and the choice was not symbolic. Ressa shared it with Dmitry Muratov for a body of work that treats disinformation, platform power and the erosion of shared reality as the defining governance problem of the decade. Her vantage point is unusual. She co-founded Rappler in Manila in 2012, then ran it through years of state-backed harassment, criminal charges and an online campaign that the company itself documented in forensic detail. That experience produced a working theory of how engagement-driven platforms, weaponised by political actors, dismantle public trust and institutional legitimacy from below. The argument is laid out in How to Stand Up to a Dictator, the Harper book that became a New York Times bestseller and Princeton’s Class of 2027 Pre-read. She now sits at Columbia’s School of International and Public Affairs as a Professor of Professional Practice and co-leads the Technology and Democracy Initiative at the Institute of Global Politics. The role pairs naturally with her work on the Real Facebook Oversight Board, an independent body of journalists, academics and activists holding Meta to account on content governance. Earlier in her career she opened CNN’s Manila bureau, ran its Jakarta bureau through the post-9/11 years, and led news at ABS-CBN; her 2003 book Seeds of Terror remains a reference on Jemaah Islamiyah. For corporate audiences, the value sits in the bridge she builds between platform mechanics and executive decision-making. AI accelerates everything she has been documenting for a decade, and the regulatory response, in Brussels, Washington and Manila, is now arriving in the operating environment of any business with a public-facing reputation. Key speaking topics Disinformation and the integrity of the information ecosystem Platform governance and Big Tech accountability AI ethics and the future of public trust Press freedom as institutional infrastructure Democratic resilience under digital authoritarianism Leadership and moral courage in contested environments Ideal for Boards and C-suite teams reassessing reputational and regulatory risk in an AI-mediated information environment Chief Communications Officers, Chief Risk Officers and General Counsel responsible for platform exposure and disinformation response Public-sector and policy audiences working on technology regulation, democratic resilience and ESG frameworks Leadership programmes seeking a serious voice on values, courage and institutional integrity Audience outcomes A working model of how engagement-driven platforms shape public perception of organisations, leaders and policy. Direct evidence, drawn from Rappler’s own reporting, of how coordinated disinformation campaigns are designed and executed. A clear read on where AI regulation and platform accountability are heading across major jurisdictions. A sharper sense of what leadership looks like when institutional norms are under pressure, told through a Nobel-recognised case. Language and frameworks for treating information integrity as a governance issue at board level, not a communications problem.

Why organisations work with Maria Santacaterina A published Wiley thesis (Adaptive Resilience) that gives boards a structured way to integrate AI and frontier technology without dismantling the human capability the enterprise still runs on. A formal AI ethics and risk role at ForHumanity, which means her view on governance is grounded in audit standards, not opinion. A humanities-and-international-relations frame that translates directly into how regulators, customers, and employees actually experience AI decisions, useful in rooms where the technology team cannot read the political weather. Recognised in Computer Weekly’s Most Influential Women in UK Tech longlist, with a profile across HBR-adjacent and AI research podcasts (MLST, Love & Philosophy) that signals credibility to technical audiences as well as commercial ones. Working language fluency in English, French, Italian, and Spanish, which matters for European boards running AI programmes across jurisdictions with diverging regulatory regimes. Biography highlights Author of Adaptive Resilience: How to Thrive in a Digital Era, Wiley, 2023. ForHumanity Fellow, Ethics and Risk, contributing to AI audit and governance standards. Founder and CEO of Santacaterina, a UK board advisory firm focused on strategic leadership and digital transformation. Named in Computer Weekly’s Most Influential Women in UK Tech longlist. Featured on Machine Learning Street Talk (MLST) and Love & Philosophy on the human-AI relationship. M.A. in International Relations, with prior study in modern languages, philosophy, and political sociology. Biography AI deployment has run ahead of AI governance. Boards have signed off on programmes whose failure modes, regulatory exposure, and human consequences they would struggle to articulate under questioning. Santacaterina’s argument starts there: technology is a means, the operating model is the constraint, and human judgement is the asset most easily eroded in the rush to automate. Her book Adaptive Resilience: How to Thrive in a Digital Era (Wiley, 2023) sets out how to integrate frontier technology into the enterprise without hollowing out the people, ethics, and oversight that make it defensible. The argument draws on her humanities training, an M.A. in International Relations, and twenty-five years advising senior leaders through digital transformation programmes. That position is reinforced institutionally. As a ForHumanity Fellow in Ethics and Risk, she works on the audit standards that AI systems are now being assessed against. As founder and CEO of Santacaterina, she advises boards on strategy, transformation, and the governance posture that follows. Computer Weekly has named her among the most influential women in UK tech. What she brings into a room is the connection most AI conversations miss: between the technical decision, the governance frame, and the human cost of getting either wrong. She has been a featured voice on Machine Learning Street Talk, where the audience is technical, and on board-facing platforms, where it is not. The same argument holds in both rooms. Key speaking topics AI strategy, ethics, and board oversight Adaptive resilience in the digital enterprise Human-AI complementarity and the future of work Responsible innovation and AI governance frameworks Digital transformation and operating-model redesign Sustainable value creation in a frontier-technology era Ideal for Boards and audit committees commissioning AI governance and assurance CEOs and CTOs moving AI from pilot to operational deployment CHROs and transformation leads redesigning the workforce around AI capability Risk, ethics, and compliance leaders building defensible AI policy Audience outcomes A board-level vocabulary for governing AI decisions that stand up to regulatory and stakeholder scrutiny A clearer view of where human judgement remains the binding constraint on AI deployment, and where it does not Specific reference points from Adaptive Resilience for stress-testing the organisation’s digital strategy A grounded sense of how European AI regulation and ethics standards translate into operating choices

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

Why organisations work with Mark van Rijmenam He gives boards a named decision framework, WAVE (Watch, Adapt, Verify, Empower), drawn from his book Now What?, now built into an operating diagnostic that scores a leadership team’s AI readiness against its own industry and regulatory context. The framework translates futurist material into something a planning cycle can actually use. His research base spans AI, blockchain and the metaverse across six books, so the technology view is not a single-trend pitch but a structured map of how these layers interact for an operating business. Salesforce named him one of 16 human voices shaping the future of AI, which gives buyers an external credibility marker beyond bureau ranking. He has built and run technology platforms himself, Datafloq and Futurwise, and has turned the WAVE framework into the Intelligence Age Scorecard, so the perspective is informed by building the tools, not only commenting on them. Format range is unusually wide for a futurist: he delivered the first TEDx talk in virtual reality and a TEDx in Athens via digital twin, and runs sessions in person, virtually and as holographic delivery when the brief calls for it. Biography highlights PhD in Management, University of Technology Sydney Author of six books, including Step into the Metaverse (Wiley) and Now What? How to Ride the Tsunami of Change Founder of Datafloq and of Futurwise, an AI-powered insights platform Certified Speaking Professional (CSP) and Global Speaking Fellow Recognised by Salesforce as one of 16 human voices shaping the future of AI Delivered the first TEDx Talk in virtual reality (2020) and a TEDx talk in Athens via digital twin (2023) Biography The hardest question for a board right now is not whether AI matters. It is what to commit to, when most of the technology in front of them will be obsolete in eighteen months. Van Rijmenam works on that question. His latest book, Now What? How to Ride the Tsunami of Change, sets out the WAVE framework: Watch, Adapt, Verify, Empower. The framework is built to be used by an executive team in a planning cycle, not admired from a stage. The credibility behind that work is structural. A PhD in management from the University of Technology Sydney sits alongside six published books that span big data, blockchain, the metaverse and now generative AI. Step into the Metaverse was published by Wiley in 2022. Future Visions, written in five days as an experiment in human-AI co-authorship with ChatGPT, came the following year. The body of work treats each technology layer as part of a connected operating reality, not as standalone trends. He builds the tools he talks about. Datafloq curates emerging-technology intelligence for executives. Futurwise is an AI-powered learning environment he founded to give organisations a structured way to track signal across technology, regulation and culture. He has since turned WAVE into the Intelligence Age Scorecard, a diagnostic that scores a leadership team’s AI readiness, surfaces the gap between what the C-suite believes and what management experiences, and returns a 90-day action plan. Salesforce named him one of 16 human voices shaping the future of AI, and the Global Speakers Federation has admitted him as a Global Speaking Fellow, a designation held by fewer than fifty people worldwide. The format choices reinforce the argument. He delivered the first TEDx Talk in virtual reality in 2020, and a TEDx in Athens in 2023 through a digital twin. For a buyer, the relevant signal is not the novelty. It is that the speaker is using the technologies he is asking leadership teams to make decisions about. Key speaking topics Generative AI and enterprise deployment Strategic foresight and scenario planning Decision architecture under exponential change The metaverse and immersive business models Blockchain and distributed-ledger applications AI ethics and governance Future of work and human-machine collaboration Ideal for Boards and executive committees setting AI and emerging-technology strategy Strategy, innovation and transformation leaders moving from pilots to operational deployment CTO, CIO and Chief Digital Officer audiences Leadership offsites and planning cycles where a structured foresight method is needed Audience outcomes A working decision architecture (WAVE) that an executive team can apply to its own AI and technology bets, with the option of a structured readiness diagnostic that benchmarks the team against its industry A structured map of how AI, blockchain and immersive technologies interact across the operating model A clearer view of where to commit capital now and where to keep optionality A read on where leadership perception and operational reality diverge on AI, including early preparedness for AGI-level systems Specific examples of organisations that have moved from technology pilots into operational advantage