AI Ethics & Responsible Technology

Why organisations work with I. Stephanie Boyce She led a 200-year-old national professional body through regulatory change, constitutional debate, and sector-wide reform. Her argument for accountable governance is drawn from operational experience, not advisory distance. Her AI ethics position is governance-first: as Law Society President, she led the development of a published set of principles for the ethical use of AI in legal practice, connecting AI adoption directly to legal accountability, bias mitigation, and public trust, among the earliest profession-led frameworks to do so. On inclusion, she does not argue from the outside. She held the most senior elected role in a major regulated institution as its first Black president and first person of colour, which gives her a precise read on the structural distance between a diversity commitment and a genuinely diverse institution. She connects topics most organisations treat separately, AI accountability, DEI governance, reputational integrity, crisis leadership, through the single governance question boards most often defer: when an institutional decision causes harm, who is responsible? The PUSH framework (Persevere Until Something Happens) gives leadership teams a named, teachable approach to resilience grounded in her own documented professional journey through institutional exclusion and resistance at every level of a major profession. Biography highlights 177th President of the Law Society of England and Wales (2021-2022); sixth woman, first Black office-holder and first person of colour to hold the role in the institution’s 200-year history LLM in Public Law and Global Governance, King’s College London; King’s Alumna of the Year 2022 CBE (2026 New Year Honours) for services to the Legal Profession, Diversity, and Access to Justice Commissioner, National Preparedness Commission; Commissioner, Shinkwin Commission; member, HM Treasury and BEIS independent taskforce on socio-economic diversity in UK financial and professional services Named in the Power List 100 Most Influential Black People in the UK in 2021, 2022, and 2023; Governance Hot 100 Board Influencer (2020) Paris Bar Medal from the Ordre des avocats de Paris (2024), awarded for contributions to human rights and the rule of law Fellow of the Chartered Governance Institute; Fellow of King’s College London; Fellow of the RSA Biography It took the Law Society of England and Wales two centuries to elect its first Black president. I. Stephanie Boyce became the 177th in March 2021, with 20 years of practising solicitor experience and an LLM in Public Law and Global Governance from King’s College London, qualifications that gave her both the legal standing and the governance framework for what the role required. Her presidency ran through the pandemic, sharp parliamentary attacks on the legal profession, and the most significant solicitor qualification reform in 30 years. During that time, she led the development of the Law Society’s published lawtech principles, a governance framework for the ethical use of AI in legal practice. The framework connected AI adoption to legal accountability and bias governance at a time when most profession-led work in this area had not advanced beyond aspiration. Boyce’s governance argument rests on an experience most governance advisers do not hold. As the first Black president of a 200-year-old institution, she has encountered the structural gap between stated values and leadership composition from inside the institution itself. That shapes her work on DEI accountability: framing inclusion not as a moral commitment but as a governance question: who decides, and who is responsible when structural inequality persists? She holds a CBE and the Paris Bar Medal from the Ordre des avocats de Paris, awarded for contributions to human rights and the rule of law. She is a commissioner of the National Preparedness Commission and was named in the Power List 100 Most Influential Black People in the UK in 2021, 2022, and 2023. She now works with boards and executive teams across regulated industries through Stephanie Boyce Consulting. Key speaking topics Governance and institutional accountability Ethical AI and responsible technology adoption Inclusion, representation, and belonging at leadership level Rule of law and public trust in regulated environments Social mobility and access to professional careers Resilience and leadership under scrutiny Crisis leadership and institutional change Ideal for Boards, governance committees, and general counsel in regulated industries Executive teams in financial services, legal, and public sector organisations CHROs and DEI leadership navigating the gap between policy and structural change Professional services firms managing reputational risk and stakeholder accountability Audience outcomes A clearer framework for assessing whether governance structures are built for ethical accountability rather than regulatory compliance alone Board-level questions to test whether AI adoption decisions have genuine accountability assigned, not just policy language A more precise read of the structural distance between a DEI commitment and a measurably inclusive institution Practical thinking on what institutional trust requires from those at the top, particularly during crisis and reputational pressure The PUSH framework as a named, teachable approach to institutional resilience for leaders navigating complex or high-scrutiny environments

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 Michelle K. Lee A rare three-sided view of AI: senior executive inside Google, Vice President of Amazon Web Services’ Machine Learning Solutions Lab, and a presidentially appointed agency head responsible for national IP and technology policy. Board-room credibility built on board service. Current director at MassMutual, Unity Technologies and The MIT Corporation, so audiences hear a peer, not a presenter. AI governance grounded in the law and the operating reality. Founder and CEO of Obsidian Strategies, advising on AI opportunity selection and the governance that goes with it. A track record of running AI at scale. Led a global AWS team that built machine learning into operations, customer experience and new revenue lines for clients across industries. Federal-scale execution. Ran the 10,000-person USPTO as the first woman to direct the agency, including its own AI strategy and digital modernisation. Biography highlights Founder and CEO, Obsidian Strategies, advising Fortune-class companies and boards on AI opportunities and AI governance. Former Vice President, Machine Learning Solutions Lab and Computer Vision, Amazon Web Services. Former Under Secretary of Commerce for Intellectual Property and Director of the U.S. Patent and Trademark Office, the first woman in the role. Former Deputy General Counsel and Head of Patents and Patent Strategy at Google. Board director: The MIT Corporation, MassMutual, Unity Technologies. Co-founder of ChIPs. MIT-trained computer scientist (B.S., M.S., EECS) and Stanford Law graduate (J.D.). Featured by the Wall Street Journal, Bloomberg, NPR, MIT Sloan Management Review, CES, SXSW, the World Knowledge Forum and the National Association of Corporate Directors. Biography Most boards have moved past the question of whether AI matters. The harder problem is which AI decisions belong with the board, which belong with the operators, and how to govern a technology whose capabilities and regulatory picture keep moving. Michelle K. Lee has worked that problem from every side of the table. At Google she spent eight years inside one of the most consequential technology companies of the era, ending as Deputy General Counsel and Head of Patents and Patent Strategy. At Amazon Web Services she ran the Machine Learning Solutions Lab and Computer Vision businesses as a Vice President, leading a global team that helped clients across industries build machine learning into operations, customer experience and new revenue lines. Few AI advisors have actually shipped AI at that scale. Between those roles she was appointed by the President to serve as Under Secretary of Commerce for Intellectual Property and Director of the U.S. Patent and Trademark Office, the first woman to hold the position. She ran a 10,000-person agency, set its own AI strategy, and was the principal advisor to the President on intellectual property policy. That public-sector vantage point is what makes her boardroom counsel on AI regulation and governance unusually grounded. Today she runs Obsidian Strategies, advising Fortune-class companies and their boards on where to deploy AI for material return and how to govern it credibly. She sits on the boards of MassMutual, Unity Technologies and The MIT Corporation, so the people she advises know she is making the same decisions in her day job. Key speaking topics AI strategy for the board and the executive team AI governance, ethics and regulation Generative AI: opportunities and operational risks Machine learning in customer experience and operations Digital transformation and innovation Intellectual property in the age of AI Director-level technology oversight Ideal for Boards and audit, risk or technology committees framing AI oversight and governance. CEO, CIO, CTO, Chief AI Officer and General Counsel audiences moving AI from pilot to production. Senior leadership offsites on AI strategy, regulation and competitive positioning. Industry events convening regulated sectors (financial services, insurance, healthcare, public sector) navigating AI policy. Audience outcomes A clearer view of where AI investment produces measurable return and where it does not. A practical board-level framework for AI governance, risk and accountability. A read on where AI regulation is heading and what it means for current strategy. A more honest conversation about generative AI: what to deploy, what to defer, and what to refuse. Confidence that the speaker has personally built, operated and regulated the technology under discussion.

Why organisations work with Zack Kass He built the commercial engine inside OpenAI that translated frontier research into deployed products, which is a different vantage point from any external futurist or consultant. His “Unmetered Intelligence” framework gives boards a concrete way to plan for AI as infrastructure, not as a vendor decision, and it travels into capital allocation conversations rather than staying inside the IT function. He works directly with the leadership teams of named global organisations, including Coca-Cola, Morgan Stanley, Microsoft, Deloitte, and Amgen, so the room recognises that the playbook has been pressure-tested against companies they compete with. His Wiley book, The Next Renaissance, is a USA Today, Publishers Weekly, and LA Times bestseller, which gives a CHRO or CIO a coherent reference for their executive team and not only a keynote. He is a recurring voice on Bloomberg and CNBC on AI risk, capital, and workforce impact, so the credibility check a buyer does after the call confirms the brief. Biography highlights Former Head of Go-To-Market at OpenAI; built the sales, partnerships, and customer success teams. Author of The Next Renaissance: AI and the Expansion of Human Potential (Wiley, 2026); USA Today, Publishers Weekly, and LA Times bestseller. Executive-in-Residence, University of Virginia McIntire School of Commerce. Founder of ZKAI LLC; author of the “Unmetered Intelligence” white paper. Advisor to Fortune 1,000 leadership teams including Coca-Cola, Morgan Stanley, Microsoft, Deloitte, PayPal, MetLife, TikTok, Amgen, and The Hartford. Recurring AI commentator for Bloomberg and CNBC; bylined contributor to Fortune. B.A., University of California, Berkeley. Biography OpenAI’s research only became a market because someone had to translate model weights into contracts, support, and adoption inside the world’s largest companies. That commercial scaffolding was built by the team Kass led as Head of Go-To-Market, and it is the unusual seat that shapes what he now offers to boards. The proposition is operational. Most leadership teams have approved AI pilots. Few have made the harder decisions about where intelligence sits in the workflow, who is accountable for outcomes, and what gets reorganised when cognitive capacity stops being scarce. Kass writes about that shift in his Wiley book, The Next Renaissance, and codifies it in his “Unmetered Intelligence” framework, which treats AI as infrastructure on the order of electricity rather than as a product category. The advisory base is concrete. Coca-Cola, Morgan Stanley, Microsoft, Deloitte, PayPal, MetLife, TikTok, Amgen, and The Hartford have all worked with him directly, and the case studies that surface in his keynotes are drawn from those rooms. Bloomberg and CNBC use him as a recurring voice on AI risk and capital allocation, and his Fortune writing pushes the same argument into wider business debate. He is also Executive-in-Residence at UVA McIntire, which keeps the research and the boardroom work on the same circuit. What boards take from him is a sharper read on the next two to three years of AI deployment, written in the language of operating decisions rather than technical features. The choices around workforce, capital, and capability sequencing are no longer theoretical for most executive teams, and Kass is one of the few voices who has watched them get made from the inside of the company that triggered them. Key speaking topics Applied AI strategy for Fortune 1,000 leadership teams The Unmetered Intelligence thesis AI deployment beyond pilots Workforce redesign in the age of AI The Next Renaissance: AI and human potential AI risk, regulation, and board governance Capital allocation and AI infrastructure Ideal for CEOs, CIOs, CTOs, and CHROs setting enterprise AI strategy Boards and audit committees pressure-testing AI risk and governance posture Senior leadership offsites focused on AI deployment and workforce redesign Industry conferences for financial services, technology, healthcare, and consumer goods Audience outcomes A clearer line between AI experimentation and the operating decisions that follow it A board-ready framing for AI as infrastructure, drawing on the Unmetered Intelligence thesis Specific reference points from named Fortune 1,000 deployments rather than generic case studies A defensible position on AI risk, capital allocation, and workforce impact to take back to executive teams

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 Julia Ebner Direct field intelligence on extremist movements. She has gone undercover inside a dozen networks across the ideological spectrum, which gives her a granular read on how these groups recruit, organise and migrate between platforms. Institutional authority on both sides of the policy conversation. She leads the Violent Extremism Lab at Oxford’s Centre for the Study of Social Cohesion and is Co-Executive Director at the Institute for Strategic Dialogue, the reference NGO in this field. A working brief with the organisations setting the rules. She has advised NATO, Europol, the World Bank, Google, Meta and the UN Office of Counter-Terrorism, which means she can speak to how platform governance and counter-extremism policy are actually being written. A track record of calling movements early. Going Mainstream (2023) traced how fringe conspiracy and extremist narratives were entering mainstream politics, an argument the subsequent two years of elections has substantively borne out. Two book awards from credible bodies. The Rage won the Bruno Kreisky Award for Political Book of the Year 2018; Going Dark won Wissenschaftsbuch des Jahres 2020 and was long-listed for the Gold Dagger Award. Biography highlights Co-Executive Director, Institute for Strategic Dialogue (ISD). Leads the Violent Extremism Lab at the University of Oxford’s Centre for the Study of Social Cohesion. Postdoctoral Researcher at the Calleva Centre for Evolution and Human Sciences, Magdalen College, Oxford. Former Special Advisor on Terrorism Prevention to the United Nations Office of Counter-Terrorism. Author of Going Mainstream (2023), Going Dark (2019) and The Rage (2017); winner of the Bruno Kreisky Prize and Wissenschaftsbuch des Jahres. Regular contributor to The Guardian, Financial Times, Sunday Times, Washington Post and Sueddeutsche Zeitung. Biography Most extremist movements look marginal until the moment they are not. By the time a conspiracy theory reaches a regulator, an election or a consumer boycott, the network behind it has been organising for years. Julia Ebner studies that interval. Her work explains how fringe ideas move from encrypted channels into mainstream politics, and what that movement means for governments, platforms and large employers. For Going Dark, her 2019 book, she spent two years undercover inside a dozen extremist groups, adopting five different identities to access neo-Nazi networks, jihadist recruiters, trad-wife communities and the alt-right channels that planned the Charlottesville rally. The book won Wissenschaftsbuch des Jahres 2020 and the Dr Caspar Einem prize, and was long-listed for the Gold Dagger Award. Her follow-up, Going Mainstream (Ithaka Press, 2023), traced how those same networks were already shaping electoral and policy outcomes. That field work is anchored in serious institutional positions. She leads the Violent Extremism Lab at the University of Oxford’s Centre for the Study of Social Cohesion, sits as a postdoctoral researcher at Magdalen College’s Calleva Centre, and is Co-Executive Director at the Institute for Strategic Dialogue in London. She has advised NATO, Europol, the World Bank, Google and Meta, and served as Special Advisor on Terrorism Prevention to the UN Office of Counter-Terrorism. For corporate audiences, the value of that combination is concrete. She can tell a board which narratives are about to hit them, why the networks behind those narratives behave the way they do, and what platform governance, employee safety and political-risk teams should actually be doing about it. Key speaking topics Online radicalisation and extremist networks Disinformation, conspiracy movements and democratic risk AI-enabled influence operations Platform governance and trust and safety Polarisation as a political and corporate risk Counter-extremism policy and terrorism prevention Ideal for Boards and risk committees assessing political-violence and reputational exposure Chief Trust and Safety, Policy and Public Affairs leads at technology platforms Government, defence and intelligence audiences working on counter-extremism and election integrity CHRO and Communications leadership teams facing polarisation inside the workforce or the customer base Audience outcomes A working picture of how extremist and conspiracy networks recruit, organise and migrate across platforms The early-warning signals that distinguish a fringe movement from one about to enter the mainstream A clearer view of how AI-generated content is changing the economics of disinformation A frame for translating online radicalisation into board-level political, regulatory and reputational risk Reference points from her undercover work and from ISD and Oxford research that audiences can take into their own planning

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