AI Ethics & Responsible Technology

Why organisations work with Ulrich Walter He brings the credibility of a flown astronaut and a sitting university chair to AI and robotics conversations that usually rely on consultants or vendor analysts. His role on the Bavarian Ethics Council gives him direct exposure to how regulators, ethicists and engineers are drawing the operating lines around AI, useful for boards setting their own. Disruptive-innovation content drawn from NASA mission cases and his own IBM project-management work, not from secondhand business literature. A working researcher in geriatronics and service robotics, which gives him a concrete view of what AI-assisted hardware can and cannot do today, beyond the generative-AI conversation. Comfortable in technical depth and broad audience formats. Eleven books, a weekly TV programme on Welt TV, and a Spiegel bestseller indicate a speaker who can carry a non-specialist room without softening the science. Biography highlights Payload Specialist, NASA Space Shuttle Columbia, Spacelab D-2 mission (STS-55), 1993. Chair of the Institute of Astronautics, Technical University of Munich, 2003 to 2023, now emeritus. Member, Bavarian Ethics Council on robotics and artificial intelligence. German Professor of the Year 2008 in engineering sciences and informatics. Author of eleven books including the Spiegel bestseller “Im Schwarzen Loch ist der Teufel los” and the Wiley textbook Astronautics. Host, Spacetimes, weekly space-science documentary on Welt TV since 2016. Biography Most leadership teams are asked to make decisions about AI and robotics without a working understanding of how the underlying systems behave. That gap is where Ulrich Walter does his most useful work. Trained as a physicist at the University of Cologne, with postdoctoral years at Argonne National Laboratory and UC Berkeley, he combines an active scientific career with a policy seat that few keynote speakers can match. In 1993 he flew Spacelab D-2 aboard Space Shuttle Columbia as Payload Specialist, running 89 experiments across materials science, life sciences and robotics in just under ten days in orbit. After the mission he managed satellite imaging programmes at the German Aerospace Center, then ran development projects at IBM, before being appointed to the Chair of Astronautics at TU Munich in 2003. At TUM he led research on service robotics, geriatronics, and the systems engineering behind human spaceflight. He also sits on the Bavarian Ethics Council on robotics and AI, advising on where the operational and moral limits of these technologies should fall. The work is technical, and it is current. For corporate audiences, the most useful translation is the one between high-risk technical environments and ordinary business decision-making. How does NASA assess disruptive change? How does a project manager at IBM apply mission-grade discipline? What does a working scientist on Germany’s AI ethics body actually think a board should worry about? Walter is unusually direct on all three. Key speaking topics Artificial intelligence and ethics Disruptive innovation Space technology and the NewSpace economy Robotics and geriatronics Systems engineering and project management The future of human spaceflight Science communication for non-specialist audiences Ideal for Boards and executive teams setting governance on AI and emerging technology Engineering, R&D and innovation leadership at industrial and aerospace firms Senior project and programme managers in complex, high-risk environments Conferences and offsites looking for a substantive technology keynote that can also carry a non-technical room Audience outcomes A working view of where AI and robotics genuinely change the operating picture, and where the hype runs ahead of the science. A practical translation of NASA-style risk management and project discipline into commercial settings. A clearer sense of how European regulators and ethicists are framing the limits of AI deployment. Exposure to the NewSpace economy and what it signals about the next generation of commercial technology. A reset of perspective on long-horizon strategic thinking from someone who has spent ten days looking at the planet from orbit.

Why organisations work with Cassie Kozyrkov She built the Decision Intelligence function inside Google from scratch and ran it for five years, which means leaders get advice from someone who has already solved, at scale, the problem they are trying to solve. She named and codified the field itself. When a CEO asks what Decision Intelligence is and why their AI investment should sit inside it, she is the primary source, not an interpreter of someone else’s framework. She personally trained more than 20,000 Googlers across every function in data-driven decision-making and AI, so she knows how to make the material land with non-technical executives as well as engineers. She translates AI and statistics into decision-language that boards and operators can use. Her Making Friends with Machine Learning course, originally built only for Google, is now the reference explainer for thousands of leaders outside the company. She advises at the level the material requires. Her Federal Reserve Bank of New York Innovation Advisory Council seat and her work with Forbes on AI signal that her analysis is taken seriously by policy and media institutions, not only by corporate buyers. Biography highlights Google’s first Chief Decision Scientist (2018 to 2023), leading the firm’s decision intelligence practice inside Research and Machine Intelligence. Founder and CEO of Kozyr, an AI advisory and education business serving senior leaders and their teams. Personally trained more than 20,000 Googlers in data-driven decision-making and AI, and guided over 500 decision intelligence projects inside Google. Creator of Making Friends with Machine Learning, originally an internal Google course, now a free public course on YouTube. Author of the Decision Intelligence Substack and LinkedIn Top Voice for six consecutive years; writing has appeared in Harvard Business Review, Fortune, Fast Company, WIRED, and The Wall Street Journal. Member of the Federal Reserve Bank of New York’s Innovation Advisory Council (2023 to 2024); Duke University Few-Glasson Distinguished Alumna. Biography Most companies do not have a data problem, they have a decision problem. The dashboards, pipelines, and models are in place, and yet senior leaders still cannot say which decisions are demonstrably better because of any of it. That gap is the subject Cassie Kozyrkov has been working on for a decade, first inside Google and now with leaders across industries. At Google, she became the company’s first Chief Decision Scientist in 2018 and held the role until 2023. She built a new function that sat between Research and Machine Intelligence on one side and the operating business on the other, and used it to run AI and data through a discipline she calls Decision Intelligence. By the time she left, she had personally trained more than 20,000 Googlers and influenced over 500 projects against that framework. The reason her work travels beyond Google is that she made the material legible. Her course Making Friends with Machine Learning, built inside Google and later released in full on YouTube, is one of the few genuinely plain-English explainers of how machine learning actually fits into business decisions. Her writing in Harvard Business Review, Fortune, Fast Company, WIRED, and The Wall Street Journal has done the same for non-technical executives, and her Decision Intelligence Substack has become a working reference for practitioners. Today she runs Kozyr, advising leadership teams on AI strategy and decision design, and sits on the Federal Reserve Bank of New York’s Innovation Advisory Council on AI and financial markets. The through-line is consistent. She is the rare AI voice who starts with the decision the organisation is trying to get right, and works backwards to the technology, rather than the other way round. Key speaking topics Decision Intelligence AI strategy and adoption Data-driven decision-making Machine learning for business leaders Responsible and effective use of AI AI literacy for executives Bias and judgement in AI systems Ideal for CEOs, boards, and executive teams setting AI strategy and capital allocation against it Chief Data, Analytics, and AI Officers building a decision-intelligence operating model Transformation and strategy leaders responsible for turning AI pilots into business results Leadership programmes and offsites that need genuine AI literacy, not a vendor pitch Audience outcomes A working definition of Decision Intelligence and where it sits relative to data science, analytics, and AI investment. A sharper diagnostic for why AI projects stall: wrong decision scoped, wrong owner, or wrong question asked of the model. Shared language across technical and non-technical leaders for debating AI initiatives without defaulting to buzzwords. Specific techniques for pressure-testing decisions against common biases, including outcome bias and confirmation bias. A realistic read on what current AI systems can and cannot be trusted to decide without human judgement in the loop.

Why organisations work with Danilo McGarry He has run AI inside two of the largest regulated enterprises on the planet. Buyers get an operator who has defended budgets, cleared risk committees and shipped at scale, not a consultant describing other people’s work. His track record is tied to outcomes in the numbers. His work at Alter Domus is associated with a period of significant valuation growth, and his engagements are framed around measurable cost, revenue and risk impact rather than adoption metrics. He sits at the board-level interface of AI. He teaches on the Financial Times Board Directors Programme and advises the CIPD on AI, which means the language he uses lands with directors, not just technologists. He explains complex AI choices in terms non-technical leaders can act on. That is what earns him repeat invitations from banks, insurers, health systems and consultancies where the decision rests with a chief executive or a chair. Biography highlights Former Head of AI at Citigroup, leading enterprise AI and automation inside one of the world’s largest banks. Former Head of AI at UnitedHealth Group, operator of one of the largest software-robot estates in any healthcare business. Former Global Head of AI and Automation at Alter Domus, the fund services group, from December 2019. Strategic adviser on artificial intelligence to the Chartered Institute of Personnel and Development (CIPD). Faculty contributor to the Financial Times Board Directors Programme. Host of the “It’s All About AI” podcast; TEDx speaker; ranked on Thinkers360 and Onalytica lists of leading AI voices. Biography The hard part of enterprise AI is not the model. It is the decision to commit, the governance to contain the risk, and the operational grip to turn a working pilot into a line on the P&L. Danilo McGarry has spent his career on the inside of that problem. At Citigroup he led artificial intelligence and machine learning, launching automation and AI initiatives across capital markets operations. He then became a senior AI leader at UnitedHealth Group, where his remit included a programme of roughly 3,500 software “digital workers” embedded in one of the largest healthcare businesses in the United States. As Global Head of AI and Automation at Alter Domus from 2019, he built an AI and automation function inside a fund services firm through a period of significant growth. Earlier roles at JPMorgan and Royal Bank of Canada gave him the grounding in regulated operations that now sits under everything he says on stage. That operator track record is why boards listen. He is a faculty contributor to the Financial Times Board Directors Programme and strategic adviser on AI to the CIPD, which puts him in front of chairs, chief executives and people leaders making the governance calls. He is cited and quoted in outlets including the Financial Times, The Times, Bloomberg, Forbes and WIRED, and ranks on Thinkers360 and Onalytica lists of leading voices in AI and intelligent automation. His argument on stage is practical. Treat AI as an operating-model question, not a tooling question. Pick the handful of processes where the economics are real, industrialise them, and build the governance that lets the next wave scale without fresh permission every time. It is a message that lands with leadership teams who are tired of pilot decks and want to know what to do on Monday. Key speaking topics Enterprise AI strategy AI operating models and governance Intelligent automation at scale AI in financial services and healthcare Board-level AI literacy Digital workers and the future of operations Responsible AI adoption Ideal for Boards and chief executives setting enterprise AI policy and investment envelopes. CIOs, CDOs and heads of transformation running AI and automation portfolios. CHROs and people leaders rethinking workforce design around AI and digital workers. Regulated-sector leadership teams in banking, insurance, asset servicing and healthcare. Audience outcomes A clearer view of where AI actually moves the numbers inside their own operating model. A working vocabulary for the governance, risk and workforce questions AI creates at board level. Concrete reference points from AI deployments inside Citigroup, UnitedHealth Group and Alter Domus. A sharper read on which AI investments industrialise and which stay trapped as pilots. Confidence to set the next twelve months of AI priorities with fewer, better bets.

Why organisations work with Roger Steare His ethicability RIGHT framework was adopted by BP into its 2011 Code of Conduct after Deepwater Horizon, and the programme was later recognised by the US Department of Justice in BP’s US$20.8 billion Consent Agreement. Few decision frameworks have been stress-tested at that scale. The MoralDNA psychometric, co-designed with psychologist Pavlos Stamboulides, has profiled more than 180,000 people across 200 countries. It gives boards a measurable language for ethical culture rather than a values poster. He has built ethical leadership programmes for BP, Citigroup, HSBC, PwC, the Financial Services Authority and the Serious Fraud Office. His client list is the regulator and the regulated, which is rare. He writes for the Financial Times as a columnist and reports for the Chartered Management Institute on the link between moral character and organisational performance. The argument is empirical, not aspirational. He brings the same ethical reasoning to AI governance that he applied to banking and energy. Boards confronting AI deployment get a method, not a moral panic. Biography highlights Honorary Visiting Professor of Organisational Ethics, Cass Business School (now Bayes), City, University of London Visiting Professor of European Studies, College of Europe, Bruges Co-designer of MoralDNA, used by more than 180,000 people in over 200 countries Author of Ethicability (5th edition) and Thinking Outside the Inbox; author of The MoralDNA of Performance for the Chartered Management Institute Designer of BP’s global ethical leadership programme for 4,000 leaders following Deepwater Horizon; framework cited in BP’s US Department of Justice Consent Agreement Financial Times columnist; Fellow of the Royal Society of Arts Biography Most ethics work in large organisations is theatre. Codes of conduct sit on intranets, e-learning modules are completed quickly, and the actual decisions get made the same way they always were. The MoralDNA work, built with psychologist Pavlos Stamboulides and now profiling over 180,000 people across 200 countries, was designed to interrupt that pattern. It measures how people actually reason about right and wrong, not what they say they value. The ethicability RIGHT framework took the same logic into operational decision-making. After Deepwater Horizon, BP incorporated it into the 2011 Code of Conduct and rolled an associated programme out to 4,000 leaders. In 2016 the US Department of Justice cited that programme as part of BP’s US$20.8 billion Consent Agreement. It is one of very few ethical decision tools stress-tested under genuine regulatory and reputational fire. The broader client list spans Citigroup, HSBC, PwC, Nationwide, Openreach, the Financial Services Authority and the Serious Fraud Office. As Honorary Visiting Professor at Cass Business School (now Bayes) he taught the same material to Executive MBA cohorts, and as Visiting Professor at the College of Europe he extended the work into European public policy. His Financial Times column and his Chartered Management Institute report, The MoralDNA of Performance, argue that moral character is correlated with measurable organisational outcomes. That argument now extends to AI. The questions a board faces about model deployment, accountability and bias are not new ethical questions, they are old ones in faster machinery. The work he brings to AI governance is the same reasoning he brought to banking after 2008 and to oil after 2010: a tested method for deciding what is right when commercial, legal and moral answers diverge. Key speaking topics Values-based leadership and ethical decision-making AI ethics and responsible technology governance Organisational culture and integrity Trust and the social contract of business Moral reasoning at board level Ethics in financial services and regulated industries Ideal for Boards and executive committees facing ethical or reputational exposure Chief Risk Officers, General Counsel and Chief Compliance Officers shaping culture beyond compliance Senior leaders in regulated sectors: financial services, energy, healthcare, defence Heads of AI, Chief Data Officers and technology leaders setting deployment standards Audience outcomes A tested method (ethicability RIGHT) for making decisions when commercial, legal and ethical pressures conflict A common language for ethical culture grounded in the MoralDNA evidence base A clearer account of why values-based leadership is correlated with organisational performance A practical framing for AI governance questions that boards can act on

Why organisations work with Calum Chace He has built two books and two operating ventures around the same argument: that AI changes capability, then labour, then the structure of the economy. Boards hear a coherent thesis, not a trend update. He coined the term “economic singularity” and wrote the book on it. Leadership teams trying to think clearly about technological unemployment get the original framing, not a recycled version. Through Conscium, the AI safety company he co-founded in 2024, and the linked PRISM research non-profit, he speaks from inside the live debate on machine consciousness and agent evaluation, not from the sidelines. Thirty years across BBC journalism, Financial Times writing, KPMG strategic intelligence and CEO roles mean he frames AI for commercial audiences in language they already use. Biography highlights Co-founder of Conscium (2024), an AI safety company working on neuromorphic computing, AI agent evaluation, and machine consciousness. Co-founder of the Economic Singularity Foundation, a think tank on the future of jobs in an AI economy. Author of Surviving AI and The Economic Singularity, plus the techno-thrillers Pandora’s Brain and Pandora’s Oracle. Co-host of the London Futurist Podcast and the PRISM Podcast on sentient machines. Read Philosophy, Politics and Economics at Oxford; trained as a journalist with the BBC; contributed to the Financial Times. Former director of KPMG’s strategic and commercial intelligence media practice and CEO of several businesses before moving to full-time writing and speaking in 2012. Biography Artificial intelligence is two distinct strategic questions for a board, not one. The first is what AI does to the products and services a business sells. The second is what it does to the labour the business buys. Calum Chace has spent a decade arguing that the second question is the one most organisations are underprepared for, and that the gap between AI as a capability story and AI as an economic story is where the strategic risk sits. His two non-fiction books frame that gap. Surviving AI deals with the long-term safety question once machines start to match and then exceed human capability. The Economic Singularity gave a name to the moment when technological unemployment becomes the dominant labour reality, and made the case that this is a question of decades, not centuries. The economic singularity is now a term other writers use; he wrote the book it came from. The work has continued into operating ventures. In 2024 he co-founded Conscium, an AI safety company developing neuromorphic computing, agent evaluation methods and research on machine consciousness. Conscium has since seeded PRISM, a non-profit researching sentient machines, which he co-hosts as a podcast. Earlier, he co-founded the Economic Singularity Foundation, a think tank on the future of jobs. Before any of that, Chace read PPE at Oxford, trained as a BBC journalist, wrote for the Financial Times, ran the media practice at KPMG’s strategic and commercial intelligence group, and held several CEO roles. That commercial background is why his talks for senior audiences sound like strategy conversations rather than technology briefings, and why he can argue both sides of the AI question, capability and consequence, in the same room. Key speaking topics Artificial intelligence and the two singularities The economic singularity and the future of jobs AI safety, alignment and machine consciousness Digital transformation and AI in the enterprise AI in healthcare AI in education The philosophy of AI Ideal for Boards and executive committees building a long-range AI strategy CHROs and people leaders facing workforce redesign around AI capability Conferences for technology, financial services, healthcare and professional services leadership Government, regulator and policy audiences working on AI governance and labour-market policy Audience outcomes A clearer separation between AI as a product question and AI as a labour question, and a sense of which one their organisation is more exposed to. A working definition of the economic singularity and a view on whether the case for serious technological unemployment is credible. A more informed position on AI safety, machine consciousness and agent evaluation as governance issues, not laboratory topics. Language and reference points senior leaders can use in their own board and investor conversations about AI.

Why organisations work with Miloš Maričić He gives investment boards a working diagnostic for distinguishing real machine learning from AI marketing, anchored in his SPEC framework and his CFA Institute Enterprising Investor work on weak quant models. He chairs Executive AI, the network of CEOs of major European institutional investment organisations, and represented that industry in the EU Artificial Intelligence Act standardisation process. Few speakers can describe AI regulation from inside the room where the rules were written. He has co-edited the Routledge Handbook of Artificial Intelligence and Philanthropy with the University of Geneva, the standard reference for AI in the social sector. That gives foundations and philanthropic boards a credible voice on the same subject. He has built and exited two AI companies and ranks in the top five per cent of the Numerai global leaderboard for market prediction models, so the technical claim is matched by personal track record. He is an OECD AI Expert and a World Economic Forum contributor, which means his framing is already calibrated for senior policy and regulatory audiences. Biography highlights Founder of the Altruist League, Geneva, a philanthropy consultancy whose network reports AUM above USD 10 billion. Chair of Executive AI, a network of CEOs of major European institutional investment organisations. AI Expert at the OECD and contributor at the World Economic Forum. Co-editor, The Routledge Handbook of Artificial Intelligence and Philanthropy, Routledge, 2024. Co-author, Fixing Philanthropy: Six Principles for Actually Improving the World When Giving Away Money, 2021. Educated at the London School of Economics, New York University and Harvard Business School. Biography Most institutional investors now have AI somewhere in their portfolio, their managers, or their operations. Very few have a working method for telling genuine machine learning from a factor model dressed up for a board meeting. That is the gap Maričić has spent his career filling, first inside his own AI ventures, now as Chair of Executive AI, the network of CEOs of major European institutional investment organisations. His SPEC framework, developed for capital allocators and published through CFA Institute’s Enterprising Investor, gives investment committees a short diagnostic for evaluating quantitative managers who claim AI capability. It is the kind of practical tool a CIO can take into a manager meeting on Monday morning. He represented the institutional investor industry in the EU Artificial Intelligence Act standardisation process, and serves as an AI Expert at the OECD and a contributor at the World Economic Forum. Maričić founded the Altruist League, a Geneva-based philanthropy consultancy that pioneered the use of AI in sourcing investments, distributing funds and managing portfolios, and whose network now reports AUM above USD 10 billion. With Giuseppe Ugazio at the University of Geneva, he co-edited The Routledge Handbook of Artificial Intelligence and Philanthropy, the 2024 reference work for foundations and social sector boards thinking about AI governance. He is educated at the London School of Economics, NYU and Harvard Business School, ranks in the top five per cent of the Numerai global leaderboard for market prediction models, and writes The Specification, a newsletter that translates frontier AI research into practical tools for institutional allocators. Key speaking topics AI governance for investment boards and fiduciary committees Due diligence on machine learning in quantitative investment strategies AI regulation, the EU AI Act and institutional capital allocation AI in philanthropy and the social sector Causal inference and the limits of factor investing Geopolitics of AI for sovereign wealth funds and central banks Trust-based giving and systemic-change philanthropy Ideal for Chief Investment Officers, investment committees and manager-selection teams at pension funds, sovereign wealth funds, central banks and endowments Boards of foundations and philanthropic organisations setting AI strategy and governance Risk, audit and fiduciary committees taking responsibility for AI-driven strategies they did not build Senior policy and regulatory audiences working on AI in financial services Audience outcomes A clear diagnostic for distinguishing real machine learning from AI marketing inside quantitative managers Specific questions a board or investment committee can put to managers and internal teams about AI claims A current read on the EU AI Act and what it means for institutional allocators in practice A grounded view of where AI is genuinely changing philanthropy and where it is hype A working vocabulary for fiduciary AI oversight that does not require a technical background

Why organisations work with will.i.am He builds at the frontier rather than commenting on it. FYI.AI, the AI collaboration platform he founded and runs as CEO, has shipped consumer products including RAiDiO.FYI and an in-car integration with Mercedes-AMG. An operator’s understanding of how technology firms commercialise consumer experiences. He was a founding equity partner in Beats Electronics, sold to Apple for USD 3 billion, and Intel’s Director of Creative Innovation across a multi-year run on devices. A serious counter-argument to AI maximalism, grounded in artistic practice. His core thesis is that AI must be a catalyst for human imagination, not a substitute, a line that lands credibly with leadership teams under board pressure to deploy AI everywhere. Cultural reach few technology speakers command. The Black Eyed Peas have sold over 75 million records, and his keynote work has been picked up by Accenture, IBM, JPMorgan Chase, Salesforce, and the World Economic Forum. A philanthropic record that gives the AI argument substance. The i.am Angel Foundation funds STEAM education for over 12,000 students in Los Angeles, in partnership with the Smithsonian Science Education Center and FIRST Robotics. Biography highlights Founder and CEO of FYI.AI, an AI-powered creative collaboration platform launched in 2023. Founding member of the Black Eyed Peas; nine Grammy Awards, one Latin Grammy, one Emmy, one CLIO. Founding equity partner in Beats Electronics, acquired by Apple in 2014 for USD 3 billion. Director of Creative Innovation at Intel from 2011, working across consumer compute devices. Recipient of the World Economic Forum’s Crystal Award and an Honorary Fellowship from the Institution of Engineering and Technology (UK). Goodwill Ambassador for the United Nations ITU AI Skills Coalition; Professor of Practice in the GAME School at Arizona State University. Biography Most senior teams are still arguing about whether to treat AI as a tool, a colleague, or a threat. will.i.am has spent the last decade building products that force a decision. FYI.AI, the creative collaboration platform he founded and runs, treats AI as a working partner inside the production workflow rather than a feature bolted onto it. RAiDiO.FYI, its consumer-facing radio product, now ships inside Mercedes-AMG vehicles. The pattern is older than the current AI cycle. He was a founding equity partner in Beats Electronics before Apple acquired it in 2014 for USD 3 billion, and Intel’s Director of Creative Innovation from 2011 across laptops, tablets, and smartphones. In each case the contribution was the same: a working view of how consumer technology actually becomes culture, and what that means for the companies trying to ship it. The Black Eyed Peas, which he co-founded, have sold more than 75 million records and won nine Grammys. That cultural reach gives the AI argument a different kind of credibility with boards. He has been recognised with the World Economic Forum’s Crystal Award and an Honorary Fellowship from the Institution of Engineering and Technology in the UK, and serves as a UN ITU Goodwill Ambassador for the AI Skills Coalition. His argument to leadership teams is direct. AI should accelerate human imagination, not replace it, and the organisations that get this wrong will spend the next decade producing work nobody wants to consume. He grounds the point through the i.am Angel Foundation, which funds STEAM education for over 12,000 students in Los Angeles, including a Smithsonian Science Education Center partnership and a FIRST Robotics programme run with founder Dean Kamen. Key speaking topics Artificial intelligence and creativity AI in consumer products and brand The future of music and media in an AI economy Technology, education, and access Innovation at the intersection of culture and engineering Building consumer technology platforms Ideal for Boards and CEOs setting the corporate position on generative AI Chief marketing and brand officers reframing creative production around AI Innovation and R&D leads exploring AI applications in consumer products Conference programmes that need a credible artist-technologist voice on AI Audience outcomes A sharper view of where AI multiplies human creative work and where it erodes it Working examples of AI inside shipped consumer products, from a founder who built them An understanding of how to commercialise technology through culture, not in spite of it A reframing of the AI conversation away from compliance fear and towards creative leverage

Why organisations work with Taryn Southern She produced the first solo-artist pop album composed with AI in 2018, when most organisations were still asking whether generative tools could ship anything usable. The lessons on creative workflow integration are now several years ahead of most enterprise practice. She runs storytelling and external communications at Blackrock Neurotech, an implantable BCI company, which gives her a working view of the next technology layer beyond generative AI. Her documentary work, including «I AM HUMAN» at the 2019 Tribeca Film Festival, gives her a rare ability to translate frontier neurotechnology into language a non-technical board can use. She has keynoted SXSW, Web Summit, the World AI Summit, and NY Times Future of Work, and has been booked by Google, Salesforce, Deloitte, and Gartner. Senior tech audiences treat her as a peer, not a populariser. Biography highlights Chief Storytelling Officer at Blackrock Neurotech since 2021, leading story strategy for funding rounds totalling over $230M led by Thiel Capital, Apeiron, and Tether Released «I AM AI» in 2018, the first solo-artist pop album composed and produced with AI tools including Amper, IBM Watson Beat, Google Magenta, and AIVA Directed and produced «I AM HUMAN,» premiered at the 2019 Tribeca Film Festival; subsequent awards include Best Director at Oslo Film Fest Three-time Streamy Awards nominee; 2018 Geena Davis Award recipient for innovative female filmmaking Keynote speaker at SXSW, Web Summit, World AI Summit, Google’s AI Summit, VidCon, The Next Web, NY Times Future of Work Featured in Vanity Fair, Billboard, Fast Company, Wired, Forbes, Psychology Today, and Harvard Business Review Biography The first solo-artist pop album composed with AI was released in September 2018, before most enterprises had finished their first ChatGPT briefing note. «I AM AI» used Amper, IBM Watson Beat, Google Magenta, and AIVA, with the lead single «Break Free» reaching the Top 100 radio charts. The interest, for a serious audience, is not the novelty. It is what the project showed about how a working creative integrates these tools into a production workflow that ships. That production credibility is the spine of the work Taryn Southern now does with senior teams. She has produced more than 1,500 videos across more than a decade of digital media, advised early product teams at YouTube, Google VR, and Snapchat, and directed an award-winning Google VR series. The vantage point is unusual: she has built original commercial product with generative tools at every stage of their maturity. Since 2021 she has been Chief Storytelling Officer at Blackrock Neurotech, the implantable brain-computer interface company. She launched what the company describes as the world’s first BCI museum, oversaw a corporate rebrand and the formation of a BCI Ethics Advisory board, and led communications strategy for funding rounds totalling over $230M, with investors including Thiel Capital, Apeiron, and Tether. The role gives her a working view of the technology layer that arrives after generative AI, and the regulatory and ethical questions a board will be asked to take a position on within the next decade. Her directorial debut, «I AM HUMAN,» premiered at the 2019 Tribeca Film Festival and followed three of the first patients to receive implantable brain-computer interfaces. The film is the practical bridge in her work with corporate audiences: it shows what the next frontier of human-machine technology looks like in a hospital, in a home, and in the conversations a serious organisation will need to have about it well before the technology becomes commonplace. Key speaking topics Generative AI in creative production AI-augmented workflows and creative practice Brain-computer interfaces and human-machine integration Frontier neurotechnology and ethics Storytelling for emerging technology companies The future of human and artificial intelligence Ideal for Boards and leadership teams setting AI strategy beyond initial pilots Chief Marketing Officers, Chief Communications Officers, and creative leadership integrating generative tools into production Innovation, R&D, and strategy leaders tracking neurotech and the post-AI technology stack Senior leadership conferences in technology, media, healthcare, and life sciences Audience outcomes A working understanding of how generative AI tools function inside a real production workflow, drawn from a practitioner who has shipped commercial product A grounded view of brain-computer interface technology, what it currently does, where it is going, and the questions boards will face A sharper sense of which categories of creative and knowledge work are most exposed to generative AI, and which remain durably human An informed perspective on the ethical and governance terrain emerging at the intersection of AI and neurotechnology

Why organisations work with Jacinda Ardern Ardern made consequential governance decisions – not advisory ones – during a live-streamed act of mass terrorism, a major volcanic eruption, and a global pandemic, all within a single term in office. What she brings to organisations is a practitioner’s account of crisis governance under conditions of maximum accountability. She co-founded the Christchurch Call with French President Macron in 2019 and remains Patron of the Christchurch Call Foundation today. That initiative – a multi-government, multi-platform framework for eliminating terrorist content online – gives her grounded authority on AI governance, platform accountability, and digital regulation that most governance specialists cannot match. Her memoir A Different Kind of Power (Penguin Random House/Pan Macmillan, 2025), a New York Times and Sunday Times bestseller, develops the concept of “pragmatic idealism” – the argument, backed by her own record in office, that empathy and decisive institutional action reinforce each other rather than pull against each other. Her Harvard appointments span three distinct domains: public leadership (Hauser Leader, Center for Public Leadership), AI and platform governance (Knight Tech Governance Leadership Fellow, Berkman Klein Center), and women’s policy (Senior Fellow, Women and Public Policy Program). This breadth reflects genuine multi-domain institutional credibility. As board member of The Earthshot Prize and Arnhold Distinguished Fellow at Conservation International, she engages with climate accountability at the level of institutional design – not as a cause, but as a governance and measurement problem that boards increasingly own. Biography highlights 40th Prime Minister of New Zealand, 2017-2023; the world’s youngest female head of government at the time of her election, aged 37 Led the governmental response to the Christchurch mosque attacks (2019), the Whakaari White Island volcanic eruption, and the COVID-19 pandemic – each requiring real-time governance decisions at national scale Co-founded the Christchurch Call with President Macron (2019); Patron of the Christchurch Call Foundation, the NGO established by New Zealand and France in 2024 to coordinate global action on violent extremist content online Multiple Harvard fellowships across Harvard Kennedy School and Harvard Law School’s Berkman Klein Center for Internet and Society, including the Angelopoulos Global Public Leaders Fellow, Hauser Leader at the Center for Public Leadership, and Knight Tech Governance Leadership Fellow Author of A Different Kind of Power (Penguin Random House / Pan Macmillan, 2025) – New York Times and Sunday Times bestseller; shortlisted for the Ockham New Zealand Book Awards Harvard Kennedy School Gleitsman International Activist Award (2020); Harvard 2022 Commencement speaker; Honorary Doctorate from Harvard University; twice named to Time Magazine’s Most Influential People list Board member, The Earthshot Prize; Arnhold Distinguished Fellow, Conservation International; founder of the Field Fellowship on empathetic leadership (2024) Biography New Zealand was four weeks past the Christchurch mosque attacks when Jacinda Ardern stood with French President Macron in Paris and co-launched the Christchurch Call – a commitment from governments and technology companies to eliminate terrorist and violent extremist content online. It was a governance response to a governance failure, assembled at pace, and it is still operating. That sequence captures what is most useful about Ardern’s perspective: she did not observe the intersection of crisis leadership, platform accountability, and public trust from the outside. She was accountable for it. Her concept of “pragmatic idealism” – developed across her term in office and set out in her memoir A Different Kind of Power (Penguin Random House/Pan Macmillan, 2025, a New York Times and Sunday Times bestseller) – makes the case that empathy is not a soft alternative to decisive leadership but a structural condition of it. Leaders who build genuine trust before a crisis hits have more to draw on when decisions must be made under pressure and incomplete information. Leaders who do not find that the crisis itself destroys the conditions needed to manage it. Since leaving office in early 2023, Ardern has held multiple fellowships at Harvard Kennedy School and Harvard Law School’s Berkman Klein Center for Internet and Society, where her focus has been AI governance, algorithmic accountability, and platform regulation. She is board member of The Earthshot Prize, Patron of the Christchurch Call Foundation, Arnhold Distinguished Fellow at Conservation International, and founder of the Field Fellowship, a programme supporting political leaders in empathetic leadership practice. For boards navigating crisis preparedness, digital governance, or ESG accountability, Ardern brings a record of decisions taken, at national scale, under conditions that most leadership frameworks were not designed for. Key speaking topics Crisis decision-making and governance under pressure Trust, institutional credibility, and stakeholder communication Digital platform accountability and online safety AI governance and technology regulation Climate accountability and ESG leadership Empathetic leadership and values-based decision-making Women in leadership and inclusive governance Ideal for Board and C-suite audiences responsible for crisis response, reputation management, and stakeholder trust under public scrutiny Technology and digital governance leaders focused on platform accountability, AI regulation, and online safety policy ESG and sustainability officers translating climate commitments into credible, auditable, scrutiny-resistant action Public sector and government-adjacent leaders managing delivery under high institutional pressure Audience outcomes A practical decision-making framework developed through direct, accountable experience of national-scale crisis – not theoretical modelling A sharper understanding of how trust is built, maintained, and lost under crisis conditions – and what communication disciplines make the difference Grounded perspective on digital platform accountability and AI governance from someone who helped design one of the world’s first functioning multi-government frameworks in this space A working account of how “pragmatic idealism” operates as a leadership model: acting from values without sacrificing speed, coherence, or institutional effectiveness Concrete principles for maintaining organisational credibility when multiple stakeholder groups are applying conflicting pressure simultaneously

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 Adrian Joseph He has run an AI and data function of roughly 1,600 people inside a FTSE 100 company, so his advice to boards reflects what it takes to deliver at that scale, not what a strategy deck suggests. He sits on the boards of Direct Line, Allwyn and Great Ormond Street Hospital, giving him a current view of how AI lands in insurance, gaming and healthcare rather than a single-sector perspective. As an Expert Member of the UK AI Council he contributed to the National AI Strategy, so he reads regulation and policy as someone who has been inside the room, not as an outside observer. He holds an OBE for services to equality and diversity in business and was named the UK’s most influential minority ethnic technology leader by the Financial Times and Inclusive Boards, which sharpens his credibility on the workforce side of AI transformation. His career path through Google, EY and BT gives audiences a rare triangulation: the hyperscaler view of what the technology can do, the consulting view of how to sell change internally, and the operator view of what actually breaks. Biography highlights Former Chief Data and AI Officer, BT Group, leading approximately 1,600 data and AI professionals. Former Senior Partner and Head of UK Data and Analytics for Financial Services at EY. Over ten years in senior leadership roles at Google across cloud, digital and data science. Non-Executive Director at Direct Line Insurance Group, Allwyn UK and Great Ormond Street Hospital NHS Foundation Trust. Expert Member of the UK Government’s AI Council and former Non-Executive Director at the Home Office. OBE for services to equality and diversity in business; named the UK’s most influential BAME technology leader by the Financial Times and Inclusive Boards. Biography Running an AI and data function of 1,600 people inside BT Group taught Adrian Joseph OBE what most board conversations about AI miss. The commercial case is not won in the model. It is won in the operating model, the talent pipeline and the patience of the leadership team to let value compound. That operator’s view is what he brings into the room. Before BT, he spent over a decade at Google in senior cloud, digital and data science roles, then led the UK Data and Analytics practice for Financial Services at EY as a Senior Partner. The path gives him three lenses on the same problem. Hyperscalers built the infrastructure. Consultancies sold the transformation story. Incumbents have to actually run the thing in production under regulatory scrutiny. He currently holds non-executive director roles at Direct Line Insurance Group, Allwyn UK, the National Lottery operator, and Great Ormond Street Hospital for Children NHS Foundation Trust, and sits on the Technology Advisory Board at NatWest Group. As an Expert Member of the UK Government’s AI Council he contributed to the National AI Strategy, and served as a Non-Executive Director at the Home Office from 2015 to 2020. He was awarded an OBE in the 2019 New Year’s Honours for services to equality and diversity in business, and the Financial Times and Inclusive Boards named him the UK’s most influential Black, Asian and ethnic minority technology leader. That recognition is not decoration on the CV. It sharpens his argument that the AI advantage large organisations seek is inseparable from who they let build and govern the systems. Key speaking topics Enterprise AI strategy and commercial return Responsible AI and governance Data and AI operating models at scale Digital and cloud transformation in regulated industries AI policy and the National AI Strategy Diversity and inclusion in technology leadership Board-level oversight of AI risk Ideal for CEOs, CFOs and boards under pressure to show commercial return from AI and data spend Chief Data Officers, CIOs and CTOs building or restructuring AI and data functions Financial services, insurance, healthcare and public sector leaders navigating AI in regulated environments CHROs and transformation leads addressing the talent and inclusion dimension of AI adoption Audience outcomes A sharper line between AI activity that produces commercial return and AI activity that produces slides A realistic view of what an AI and data operating model looks like at enterprise scale, from someone who ran one Current reading of UK AI policy and regulation from inside the AI Council and National AI Strategy work Practical signals for boards on where to probe AI risk, governance and delivery maturity Language for connecting AI capability to workforce, talent and inclusion strategy

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