AI Ethics & Responsible Technology

Why organisations work with Daniel Murray A mathematician and MBA-trained strategist who treats empathy as an operating discipline, not a soft skill, and ties it directly to team output and strategic alignment. Author of The Empathy Gap (Wiley, 2025), which gives leaders a structured vocabulary and method rather than another plea for kindness at work. Eighteen years inside financial services and corporate strategy work with organisations including Commonwealth Bank, QBE, IAG, Westpac and BHP, so the examples land with executives who have budget to defend. Known for the “Pirates and Passengers” framework for reading team dynamics, which gives managers a practical lens for diagnosing disengagement before it shows up in attrition numbers. Equally credible on the harder end of the topic: ethics, AI adoption and the trust collapse leaders face when they roll out systems their workforce does not understand. Biography highlights Founder and Director of Empathic Consulting, an Australian leadership advisory practice focused on strategic empathy, culture and performance. Author of The Empathy Gap: The Bridge to Real Connection and Lasting Influence, Wiley, 2025. Author of Aligning Culture and Strategy: How clarity, empathy and leadership drive high performance. Executive MBA and BSc in Mathematics; former internal strategy and management consultant within financial services. Keynote and leadership development work with Commonwealth Bank, IAG, QBE, Westpac, BHP, Toyota, News Corp, Allianz, Perpetual, ASX, Tyro Payments, Swiss Re and Transport for NSW. Podcast guest on The Empathy Edge, Candour Communication Podcast, XY Adviser and Your Digital Reputation. Biography Most senior leaders already believe empathy matters. The gap is between that belief and the operating habits that would make it visible in a weekly business review. Daniel Murray works on that gap, and he has spent close to two decades inside corporate strategy functions learning where it actually opens up. Murray founded Empathic Consulting after years as an internal strategy and management consultant in Australian financial services. His training is mathematical and his default is systems thinking, which is why his framing of empathy reads less like a values statement and more like a capability an executive can design for, measure, and coach. That thinking became a book in 2025, when Wiley published The Empathy Gap: The Bridge to Real Connection and Lasting Influence. The argument is that empathy is a strategic skill with a structure to it: perception, interpretation, response. Leaders who treat it that way pull better decisions out of mixed teams, reduce the hidden cost of disengagement, and hold harder conversations earlier. An earlier book, Aligning Culture and Strategy, laid the groundwork by making the case that culture only works when leaders stop treating it as a separate workstream from the strategy they are asking people to deliver. The client list is telling. Commonwealth Bank, IAG, QBE, Westpac, BHP, Toyota, News Corp, Allianz and Transport for NSW are organisations where the cost of a distracted leadership team is counted in basis points and safety incidents. That is the room Murray is useful in, and it is why his work on AI ethics and the “Pirates and Passengers” dynamic inside teams reaches people who would normally switch off the moment the word empathy entered the agenda. Key speaking topics Strategic empathy as a leadership capability Culture and strategy alignment Ethics and trust in AI adoption Team dynamics and disengagement Leadership in post-pandemic workplaces Executive decision-making under complexity Ideal for CEOs, executive committees and boards wrestling with culture change alongside a live strategic agenda CHROs and heads of leadership development designing senior leader programmes in financial services, infrastructure and professional services Transformation and change leaders rolling out AI or operating model shifts that require workforce trust to succeed Senior leader offsites where the brief is honest conversation and behaviour change, not another motivational keynote Audience outcomes A working definition of empathy that leaders can defend in a commercial conversation, not just an HR one A shared diagnostic language for team dynamics, including the Pirates and Passengers lens for disengagement Clearer thinking on how to introduce AI and analytics without eroding team trust Specific habits senior leaders can apply the next week in one-to-ones, escalations and town halls

Why organisations work with Belinda Parmar She created the Global Empathy Index, a quantitative framework published in the Harvard Business Review, that links corporate empathy directly to earnings, productivity, and retention. Most culture-change work lacks a measurement baseline; her work provides one. Her “Empathy-In-Residence” model, embedded at Barclays, Lloyds, and Centrica over extended engagements, means her frameworks have been tested at operational scale inside major institutions, not only delivered from a keynote stage. Work with AGL produced a 20.9% reduction in customer complaints and $1.7 million in cost savings, giving finance and operations leaders a commercial language for empathy that sits alongside a P&L, not just a people strategy. She has developed an AI-powered Empathy Index combining large language models with sentiment analysis, positioning organisations to measure their human culture in real time as AI transformation programmes change the surrounding landscape. As a Non-Executive Director at the UK Ministry of Defence, she brings board-level governance experience in a complex institutional environment, giving her work a credibility context that most leadership and culture speakers do not hold. Biography highlights Founder and CEO of The Empathy Business (formerly Lady Geek), a consultancy specialising in embedding empathy into organisational leadership, culture, and operations Creator of the Global Empathy Index, published in the Harvard Business Review: the first index to establish a quantitative correlation between corporate empathy and commercial performance Appointed OBE in the 2014 Birthday Honours for services to Women in Technology World Economic Forum Young Global Leader; keynote speaker at Davos (2019) Empathy-In-Residence at Barclays, Lloyds, and Centrica; established the first Empathy Hub in Europe’s largest bank Non-Executive Director, UK Ministry of Defence (appointed 2023) Author of Little Miss Geek and The Empathy Era: Women, Business and the New Pathway to Profit Featured in the Financial Times (2025); has written for The Guardian and the World Economic Forum Biography Organisations have spent a decade investing in AI while underinvesting in the human layer that AI cannot replace. Belinda Parmar’s work starts from a specific and uncomfortable question: if empathy is genuinely valuable to business performance, why can almost no organisation measure it? The Global Empathy Index, published in the Harvard Business Review, was built to answer that question. It ranks companies by empathy and connects those rankings directly to earnings, productivity, and retention. What makes her approach distinct is its operational depth. Through Empathy-In-Residence engagements at Barclays, Lloyds, and Centrica, she has deployed hundreds of evidence-based behavioural nudges: targeted interventions designed to shift culture from the inside rather than impose it from above. Work with AGL produced a 20.9% reduction in customer complaints, establishing empathy-led transformation as a driver of cost reduction, not only a people programme. AI has sharpened the question she has always asked. As generative AI absorbs more cognitive tasks, organisations face a practical leadership problem: how to identify, build, and retain the distinctly human capabilities that remain. Parmar has developed an AI-powered version of the Empathy Index, combining large language models with sentiment analysis, giving organisations a live measure of empathy in their culture as the technology landscape shifts around them. As a Non-Executive Director at the UK Ministry of Defence, she brings governance experience at an institutional level that most culture and leadership specialists do not access. She was appointed OBE for services to Women in Technology and named a Young Global Leader by the World Economic Forum. Her books – Little Miss Geek and The Empathy Era – sit alongside her HBR contributions as a published body of argument for the commercial case for empathy. Key speaking topics Human leadership in an AI world Empathy as a measurable leadership capability Behavioural science and organisational culture change Responsible AI and human-centred technology Customer experience transformation Inclusive cultures and belonging at scale Diversity and inclusion in technology Ideal for C-suite and senior leadership teams navigating AI transformation who need a human leadership framework alongside their technology strategy CHROs and People Directors seeking to connect culture change to measurable commercial outcomes Customer Experience and Operations leaders in consumer-facing industries where complaint reduction and loyalty are live performance metrics Board and governance audiences where responsible AI and organisational values are on the agenda Audience outcomes A practical understanding of the Global Empathy Index methodology and how empathy can be measured and tracked within their own organisation A working toolkit of “empathy nudges” – evidence-based behavioural interventions that can be deployed without a large-scale transformation programme A commercial language for empathy: specific case references linking culture change to cost reduction and measurable operational improvement Clarity on where AI enhances human connection rather than replaces it – and what that distinction requires of leaders A working definition of human leadership applicable to their own AI deployment context

Why organisations work with Anand Tamboli His Apress book Build Your Own IoT Platform is a widely used technical manual for developers building IoT platforms, which anchors him outside the bureau-speaker register and inside the engineering community. His second book Keeping Your AI Under Control applies the same discipline to AI governance, giving senior audiences a specific frame on the control layer that most AI keynotes skip. Chartered Engineer status plus MBA in International Business gives him the combination buyers want: deep technical credibility with business-side vocabulary. He mentors innovators through Venture Cafe Sydney, CSIRO and UNSW, so the current reading on emerging technology is current and specific to what is actually being built, not abstract. Twenty-plus years of Fortune 500 speaking and consulting plus awards from Consensus Group Australia («Best Author of the Year») and IoT Hub Australia («IoT Pioneer» nomination) give the credibility an external anchor. Biography highlights Founder, Knewron Technologies; Chartered Engineer; MBA in International Business Author of Build Your Own IoT Platform (Apress) and Keeping Your AI Under Control Innovation mentor for Venture Cafe Sydney, CSIRO and UNSW Honorary Treasurer, Computer Society of India; member, Australian Computer Society «Best Author of the Year», Consensus Group Australia; «IoT Pioneer» nomination, IoT Hub Australia 21-plus years speaking and consulting with Fortune 500 clients Biography Most AI and IoT keynotes operate at the level of strategy slides. Anand Tamboli’s work starts at the implementation layer. His Apress title Build Your Own IoT Platform is used by engineering teams to stand up working platforms inside a small number of business days. His second book Keeping Your AI Under Control does the same job for AI governance: it translates the control question into decisions that a senior operator can make, not an ethics committee. The academic base is Chartered Engineer status and an MBA in International Business, with earlier training in electrical, electronics and power-systems engineering. The commercial base is over two decades of Fortune 500 speaking and consulting through Knewron Technologies. The community base is mentoring through Venture Cafe Sydney, CSIRO and UNSW. Those three combined are unusual in the technology-futurist speaker market. The recognition sits with the substance. He has been named «Best Author of the Year» by Consensus Group Australia and nominated as an IoT Pioneer by IoT Hub Australia. He serves as Honorary Treasurer of the Computer Society of India and is an active member of the Australian Computer Society. The institutional footprint is inside engineering communities, not inside bureau marketing. For boards, CIOs, CTOs, innovation leaders and transformation functions at Fortune 500 enterprises, Tamboli offers a register that sits between engineering implementation and executive governance. He works in English across keynote, masterclass, panel and consulting formats. Key speaking topics AI governance and keeping AI deployments under control IoT platform strategy and implementation Transformative innovation and future-ready organisations Technology ethics and responsible technology Learning to unlearn and leading through disruption Distributed leadership and the future of work Ideal for Boards, CIOs and CTOs making AI and IoT deployment decisions Innovation, R&D and transformation functions at Fortune 500 enterprises Engineering leadership communities requiring a technical, not commentator-level, speaker Asia-Pacific and Australasian corporate and public-sector audiences Audience outcomes A working framework for AI governance drawn from Keeping Your AI Under Control An engineering-level view of IoT platform strategy from an Apress-published author Specific examples drawn from 21-plus years of Fortune 500 technology consulting A view of where the emerging-technology agenda sits for boards over the next cycle

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

Why organisations work with Hannah Fry Hello World (2018) advances a specific governance argument: that AI fails not because the technology is wrong, but because accountability was poorly designed. That gives boards a working framework for AI governance, not just a sharper awareness of risk. Her UCL research was applied directly – she worked with governments, police forces, health analysts, and supermarkets, translating mathematical models of human behaviour into operational decisions. That applied track record is what separates her algorithmic analysis from academic commentary. The accuracy-versus-fairness trade-off in predictive systems is a mathematical problem before it is an ethical one. She can explain it precisely enough for legal, compliance, and strategy leaders to translate it into governance decisions – not just for data teams. She holds Cambridge’s inaugural Professorship in the Public Understanding of Mathematics – a chair that formalises the argument that making quantitative thinking accessible to non-specialists is itself a research discipline. As President of the Institute of Mathematics and its Applications and a Fellow of the Royal Academy of Engineering, her institutional credibility extends well beyond media profile. Biography highlights First Professor of the Public Understanding of Mathematics at the University of Cambridge (from January 2025), joining the Department of Applied Mathematics and Theoretical Physics Previously Professor in the Mathematics of Cities at UCL Centre for Advanced Spatial Analysis; research applied to urban crime, transport, health analysis, and terrorism, with direct advisory roles across government and industry Fellow of the Royal Academy of Engineering (elected 2022) and Fellow of Queens’ College, Cambridge President of the Institute of Mathematics and its Applications Author of Hello World: How to Be Human in the Age of the Machine (2018) – winner of the 2020 Asimov Prize; shortlisted for the Baillie Gifford Prize for Non-Fiction and the Royal Society Science Book Prize Christopher Zeeman Medal (2018) and Royal Society David Attenborough Award (2024) for contributions to science communication Delivered the 2019 Royal Institution Christmas Lectures – only the fourth mathematician to do so since Michael Faraday established the series in 1825 BBC presenter across AI Confidential with Hannah Fry (2026), The Secret Genius of Modern Life (BBC Two), and Bloomberg Originals’ The Future with Hannah Fry (2023); regular contributor to The New Yorker; TED Talk «The Mathematics of Love» has exceeded five million views Biography Hannah Fry spent over a decade at UCL studying the mathematics of cities – how people move through urban space, where crime clusters, how disease propagates through populations. Her research was applied: she worked directly with governments, police forces, health analysts, and supermarkets. The question she returned to consistently was what happens when those decisions are automated, and whether the automation can be trusted. Her book Hello World (2018) answered that question with precision. Algorithms are not objective – they encode the biases embedded in the data they were trained on, often before anyone noticed. The response, she argued, is not to distrust AI but to design governance that keeps humans genuinely in the loop. She called this the «cyborg future» – a practical framework for accountability, not a metaphor. The book won the 2020 Asimov Prize and was shortlisted for the Baillie Gifford Prize for Non-Fiction and the Royal Society Science Book Prize. In January 2025, she became Cambridge’s first Professor of the Public Understanding of Mathematics, following in the footsteps of David Spiegelhalter and Stephen Hawking as a public interpreter of the discipline. She also serves as President of the Institute of Mathematics and its Applications and holds a Fellowship of the Royal Academy of Engineering. Her media work extends the argument across audiences that no academic publication reaches. BBC Two’s AI Confidential with Hannah Fry (2026) investigated how AI is reshaping human relationships and institutional decisions. The Secret Genius of Modern Life ran over two BBC Two series. She delivered the 2019 Royal Institution Christmas Lectures – only the fourth mathematician in the lectures’ 200-year history to do so – and writes regularly for The New Yorker. For leadership teams moving from AI adoption to AI accountability, that combination of mathematical rigour and public clarity is not a communications asset. It is the substance of what she brings. Key speaking topics AI and algorithmic decision-making Data bias and algorithmic fairness Human-machine governance Risk and probability in complex systems The mathematics of human behaviour Urban data and city systems Science communication and mathematical literacy Ideal for Executive and board-level audiences setting AI governance and risk policy Chief Data Officers, Chief Technology Officers, and senior technology strategy teams Leadership conferences addressing responsible AI adoption in regulated industries – healthcare, financial services, criminal justice Public sector audiences navigating the use of predictive and automated systems Audience outcomes A clearer understanding of how algorithmic bias is produced and why it is mathematically difficult to eliminate without deliberate trade-offs A practical mental model – drawn from the Hello World framework – for when to trust algorithmic output and when to retain human judgment Confidence to engage substantively with AI governance questions without requiring deep technical knowledge Greater ability to interrogate the assumptions behind data-driven outputs, rather than treating them as authoritative A vocabulary for discussing AI risk that is precise and usable in board-level and policy conversations

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

Why organisations work with Ayanna Howard Her lab produced the first peer-reviewed algorithms quantifying how robot mistakes erode human trust – including in emergency scenarios where people followed automated systems away from clearly marked exits. That finding reframes the AI governance question from “is our system accurate?” to “are our people dangerously deferring to it?” Her book Sex, Race, and Robots (2021) makes a specific, falsifiable argument: AI bias originates with the designer, not the data. That argument changes where leadership teams assign accountability – and what they need to do before deployment, not after. She holds board seats at Autodesk and Motorola Solutions while running one of the largest engineering schools in the US. She understands AI decisions from lab to boardroom, and she speaks to both with equal authority. Zyrobotics, the company she founded from her Georgia Tech research, has commercialised AI for children with motor and cognitive challenges – she has direct product experience of translating research into regulated, real-world applications. As the 2021–2022 ACM Athena Lecturer and a Fellow of IEEE, AAAI, AAAS, and the National Academy of Inventors, her credentials carry weight in technical due diligence conversations as well as executive ones. Biography highlights Dean of the College of Engineering, The Ohio State University – first woman in the role; manages a $360M annual budget, 12 departments, and 11,900+ students Senior Robotics Researcher and Deputy Manager, Office of the Chief Scientist, NASA Jet Propulsion Laboratory – contributed to Mars rover and arctic robotics programmes Named 2021–2022 ACM Athena Lecturer for fundamental contributions to accessible human-robotic systems and AI Author of Sex, Race, and Robots: How to Be Human in the Age of AI (Audible Studios/Brilliance Audio, 2021) Fellow of IEEE, AAAI, AAAS, and National Academy of Inventors; elected member of the American Academy of Arts and Sciences Independent director, Autodesk Inc. and Motorola Solutions Inc. boards Founder, Zyrobotics – Georgia Tech spin-off developing AI-powered educational and therapy products for children with special needs Named to Forbes America’s Top 50 Women in Tech and Business Insider’s 23 Most Powerful Women Engineers; featured in TIME, Vanity Fair, CNN, and NPR Biography When an AI system makes a flawed decision, most organisations blame the data. Ayanna Howard’s research makes a harder argument: bias in AI is a design failure, and it traces directly to who builds the system. Her audiobook Sex, Race, and Robots (2021) put that argument to a public audience. Her more than 250 peer-reviewed publications put it to the scientific record. Her experimental work sharpens the stakes. Howard’s Human-Automation Systems Lab produced the first algorithms to quantify how robot mistakes erode human trust – including in emergency scenarios, where research subjects followed an automated guide away from clearly marked exits. The implication is direct: humans are overtrusting AI systems in ways that matter for consequential decisions in healthcare, hiring, and security. Her authority on these questions reaches across three distinct domains. She spent twelve years at NASA’s Jet Propulsion Laboratory – as Senior Robotics Researcher and Deputy Manager in the Office of the Chief Scientist – developing autonomous systems for Mars and arctic terrain. She then led one of the US’s most productive human-robotics labs at Georgia Tech. She now serves as Dean of Engineering at The Ohio State University – its first female dean – overseeing twelve departments, a $360M budget, and more than 11,900 students. Howard also holds board seats at Autodesk and Motorola Solutions, and founded Zyrobotics, which translates her research into AI-powered educational and therapy products for children with special needs. She is a Fellow of IEEE, AAAI, AAAS, and the National Academy of Inventors, and the 2021–2022 ACM Athena Lecturer. For boards and leadership teams asking serious questions about AI governance, she offers peer-reviewed research, institutional scale, and direct commercial accountability – in the same person. Key speaking topics AI bias and responsible system design Human overtrust in automated systems Human-robot interaction and trust Assistive and healthcare robotics AI governance and ethics AI in business: risk and opportunity Engineering leadership and workforce diversity in STEM Ideal for Corporate boards and C-suite leaders with AI governance responsibility Chief Technology Officers and Chief Digital Officers overseeing AI deployment R&D and innovation leadership in technology, healthcare, and manufacturing organisations Engineering and technology leadership development programmes Audience outcomes A specific reframe of AI accountability: bias is a design responsibility, not a data problem – with implications for who in the organisation owns it Evidence-based understanding of how humans overtrust automated systems, and what that means for governance and deployment decisions Practical criteria for evaluating AI systems before they are placed in consequential roles Clearer understanding of where workforce diversity in technical teams changes AI outcomes – and how to make the case internally A more confident, evidence-grounded position for boards and leadership teams facing AI adoption decisions

Why organisations work with Viktor Mayer-Schönberger His research on data-sharing directly shaped the EU’s Digital Markets Act – when he talks about regulatory risk, he is describing a landscape he helped design. Big Data (co-authored with The Economist‘s Kenneth Cukier) sold over one million copies and set the terms of the enterprise data conversation for a decade; organisations benefit from the intellectual framework behind the book, not just its conclusions. As a member of Germany’s Digital Council, he advised Chancellor Merkel’s cabinet on digital policy (2018–2021) – giving him a rare dual perspective on both corporate strategy and governmental decision-making. His 2024 book Guardrails (with Urs Gasser, hailed in Science journal) offers the most current framework available for deciding which decisions to delegate to AI and which to retain – a live, unresolved question in most boardrooms. He holds the Oxford Chair as one of three statutory professors at the Oxford Internet Institute, combining research authority with over 250 keynote engagements across Fortune 500 companies and government bodies. Biography highlights Professor of Internet Governance and Regulation at the Oxford Internet Institute – one of three statutory chairs Ten years on the faculty of Harvard’s Kennedy School of Government; continuing affiliate at Harvard’s Belfer Center for Science and International Affairs Member of Germany’s Digital Council; personal adviser to Chancellor Angela Merkel on digital policy (2018–2021) Delete (Princeton University Press, 2009) won the 2010 Marshall McLuhan Award and the 2010 Don K. Price Award for Best Book in Science and Technology Politics Big Data (2013, with Kenneth Cukier) – NYT and WSJ bestseller; over one million copies sold; translated into more than 20 languages Research cited in, and proposals adopted by, the EU Digital Markets Act; covered by the New York Times, Financial Times, BBC, The Guardian, Der Spiegel, Le Monde, and Nature Biography Data governance is not a compliance function. It is, as Viktor Mayer-Schönberger has spent three decades arguing, the central strategic question of the digital economy, and most organisations are still treating it as a footnote. Mayer-Schönberger holds the Chair of Internet Governance and Regulation at the Oxford Internet Institute, one of three statutory professorships at the OII. Before Oxford, he spent a decade at Harvard’s Kennedy School of Government and three years at the Lee Kuan Yew School of Public Policy in Singapore. That arc – from entrepreneurship to academic leadership across three continents – gives him a fluency in organisational, governmental, and market dynamics that few researchers in this space share. His books have not merely described the data economy; they have shaped it. Delete (Princeton, 2009) initiated the debate that produced the EU’s right to be forgotten. Access Rules (2022) and the earlier Reinventing Capitalism in the Age of Big Data proposed the data-sharing mandates that were subsequently enacted in the EU Digital Markets Act. His bestseller Big Data – co-authored with The Economist‘s Kenneth Cukier – sold over a million copies and remains the foundational text for enterprise data strategy. His most recent book, Guardrails (2024, with Urs Gasser), praised in Science journal, addresses the question now live in every boardroom: how to draw the line between AI delegation and human judgement. From 2018 to 2021 he served as a member of Germany’s Digital Council, advising Chancellor Merkel’s cabinet directly. He is a faculty affiliate at Harvard’s Belfer Center and has addressed senior audiences at IBM, SAP, Microsoft, and Roche, as well as regulatory and governmental forums across the EU, UK, and US. His advisory boards have included Microsoft and the World Economic Forum. Key speaking topics AI governance and the limits of delegation Data access, competition, and digital market regulation The strategic economics of data Information privacy and the right to be forgotten Human decision-making in the age of AI Digital policy and corporate regulatory risk The data-driven transformation of capitalism Ideal for Boards and executive leadership teams navigating AI governance and regulatory exposure Chief Data, Digital, and AI Officers building organisational data strategy General counsel, compliance, and risk functions in regulated industries Public policy and regulatory affairs teams across the EU and UK Audience outcomes A structured framework for distinguishing decisions that should be delegated to AI from those that must remain with humans Clarity on the regulatory direction of travel in the EU and UK, and what it means for data strategy An understanding of how data access and sharing mandates will reshape competitive dynamics in their sector Practical grounding in the governance failures that produce both legal exposure and strategic underperformance A shared language for board-level conversations about AI risk that moves beyond the abstract

Why organisations work with Tawfik Jelassi He has run digital transformation from three vantage points most speakers only write about: as an IMD professor teaching the OWP programme, as a national minister responsible for ICT policy, and as the UNESCO executive overseeing the global agenda on information and knowledge societies. His textbook Strategies for e-Business, now in its fourth edition with Springer, is used in business schools worldwide, which means his frameworks on value creation and digital business models are not improvised for the stage, they are stress-tested in classrooms. The policy lens is hard to replicate. On questions of AI governance, disinformation, platform regulation and digital inequality, he speaks from inside the UN system, not as an outside commentator. His case-writing record, recognised repeatedly by the European Foundation for Management Development, the Society for Information Management and the Case Centre, produces sessions anchored in named companies and decisions rather than abstractions. He moves credibly across corporate, government and multilateral audiences, which is what most digital and AI briefs now require when the room includes a regulator or a chief of staff. Biography highlights Professor of Strategy and Technology Management at IMD Business School; Co-Director of IMD’s flagship Orchestrating Winning Performance programme UNESCO Assistant Director-General for Communication and Information, 2021 to 2025 Former Minister of Higher Education, Scientific Research and ICT in Tunisia’s Jomaa government, 2014 to 2015 PhD in Information Systems, New York University (Stern); former faculty at INSEAD and Indiana University (Kelley); former Dean of the Business School at École des Ponts ParisTech Co-author of Strategies for e-Business, Springer, fourth edition Multiple case-writing awards from EFMD, SIM and the Case Centre; two Tunisian national decorations for service in education and science Biography Digital transformation is no longer a technology programme. It is a choice about the business model, the regulator’s next move, and the kind of society an organisation wants to operate in. Tawfik Jelassi’s authority comes from having run that choice at three levels at which most leaders only experience one. He teaches it at IMD as Professor of Strategy and Technology Management and Co-Director of Orchestrating Winning Performance, the institute’s largest executive programme. Before IMD, he spent thirteen years as Dean of the Business School at École des Ponts ParisTech, with earlier faculty posts at INSEAD and Indiana University’s Kelley School, and a PhD in Information Systems from NYU Stern. His case writing on digital business and technology management has been recognised repeatedly by the European Foundation for Management Development, the Society for Information Management and the Case Centre. The co-authored Springer textbook Strategies for e-Business is in its fourth edition. The second stream is policy. Jelassi served as Minister of Higher Education, Scientific Research and ICT in Tunisia’s post-revolution government under Prime Minister Mehdi Jomaa. From 2021 to 2025 he was UNESCO’s Assistant Director-General for Communication and Information, responsible for the organisation’s global programmes on freedom of expression, digital transformation, AI governance, information integrity and ICT in education. Few academics working on digital strategy have held the pen on multilateral regulation of the platforms they teach about. That dual vantage point is the point of the work. Jelassi can tell a board how a generative AI deployment looks from the inside of a UN agency drafting rules for it, and tell a ministry how a platform chief executive reasons about compliance. For organisations whose strategy now runs through regulation, geopolitics and public trust as much as technology, that is an unusually useful seat at the table. Key speaking topics Digital business transformation and value creation AI governance and platform regulation Leadership in technology-driven organisations Information integrity, trust and freedom of expression Inclusive knowledge societies and the digital divide Public-private cooperation on technology policy Ideal for CEOs and executive committees setting direction on digital and AI strategy in regulated industries Boards and chairs working through the governance implications of AI, data and platform policy Government, multilateral and public-sector leadership teams shaping national digital agendas International conferences and cross-sector forums where business, policy and civil society share a room Audience outcomes A clearer read of how digital and AI strategy is being reshaped by policy and multilateral regulation in real time Practical frameworks for evaluating digital business models and value creation, drawn from the Springer textbook used in business schools worldwide Specific reference points from named corporate cases and from inside UN and ministerial decision-making A more confident vocabulary for discussing trust, information integrity and the social licence of technology in boardroom terms

Why organisations work with Nick Bostrom He authored Superintelligence, the text credited with bringing AI existential risk into mainstream policy, technology and boardroom discussion. The vocabulary leaders are now using to debate frontier AI traces back to this work. He led the Future of Humanity Institute at Oxford for nineteen years, a research programme whose alumni now staff AI safety teams at the major frontier labs and policy units in Washington, London and Brussels. His simulation argument and work on anthropic reasoning have made him one of the few philosophers whose primary papers are read inside technical AI research, not just adjacent to it. Deep Utopia, his 2024 follow-up, addresses the strategic question most leadership teams have not yet started on: what an organisation is for in a world where AI systems can perform almost any cognitive task better than humans. He treats AI governance as a question about the shape of the future, not a compliance exercise, which is the register most senior leaders need but rarely get from technical or regulatory briefings. Biography highlights Founding Director of the Future of Humanity Institute at Oxford, 2005 to 2024. Founder and Principal Researcher, Macrostrategy Research Initiative. Author of Superintelligence: Paths, Dangers, Strategies, New York Times bestseller, Oxford University Press. Author of Deep Utopia: Life and Meaning in a Solved World, Ideapress, 2024. Twice named on Foreign Policy’s Top 100 Global Thinkers. Recipient of the Eugene R. Gannon Award; ranked on Prospect magazine’s World Thinkers list as the highest-placed analytic philosopher. Biography Superintelligence: Paths, Dangers, Strategies arrived in 2014 with a thesis few mainstream readers were ready for: that advanced AI systems would, on plausible development paths, present a control problem of civilisational importance. A decade later the book sits on the desks of frontier lab leadership, AI policy officials and the boards of companies whose products now depend on the technology it described. The work came out of the Future of Humanity Institute, which Bostrom founded at Oxford in 2005 and led until its closure in 2024. FHI built the early academic infrastructure for what is now a global field, training researchers who now sit inside OpenAI, Anthropic, DeepMind and the UK AI Safety Institute. His earlier paper on the simulation argument, published in The Philosophical Quarterly in 2003, became one of the few philosophical works to be taken seriously by technical AI researchers and physicists. His 2024 book, Deep Utopia, turns the lens around. The question is no longer whether humanity survives advanced AI, but what people and organisations do in a world where machines can perform almost any cognitive task. For executives whose strategic plans assume scarce human cognitive labour as their basic input, this is the next problem to think about, and very few credible voices have started. Bostrom is now Founder and Principal Researcher of the Macrostrategy Research Initiative, continuing the long-range work on technology, governance and the human future that began at Oxford. Foreign Policy has twice named him among its Top 100 Global Thinkers; Prospect ranked him as the highest-placed analytic philosopher on its World Thinkers list. Key speaking topics Frontier AI and existential risk AI governance and alignment under uncertainty Long-range technology strategy The simulation argument and the limits of knowledge Post-AGI economics and the meaning problem Anthropic reasoning and decision-making under deep uncertainty The future of human enhancement Ideal for Boards and executive teams setting AI strategy and risk posture for the next decade Heads of state, regulators and policy units shaping national AI governance Frontier technology leadership and corporate venture teams Investor and asset-allocator audiences thinking about exposure to AI-driven structural change Audience outcomes A working vocabulary for talking about AI risk, capability and alignment with the same precision used inside frontier labs A clearer view of which AI governance questions are tractable now and which require long-range thinking A grounded sense of how to plan for a post-instrumental economy where human cognitive labour is no longer the scarce input Recognition of how anthropic reasoning and scenario thinking apply to corporate decisions under deep uncertainty Familiarity with the arguments shaping how regulators, AI labs and national security communities are now framing frontier AI

Why organisations work with Mustafa Suleyman Few people in AI both ship the product and frame the public debate. As CEO of Microsoft AI he runs Copilot, Bing and Edge for hundreds of millions of users, while The Coming Wave was shortlisted for the Financial Times and Schroders Business Book of the Year and called Bill Gates’s favourite book on AI. His “containment problem” framework gives boards a working language for asking governance questions about AI without lapsing into either hype or fatalism. He has been inside the founding team of three of the most consequential AI organisations of the past fifteen years: DeepMind in 2010, Inflection AI in 2022 and Microsoft AI in 2024. That operating vantage point on how AI strategy actually gets built is uncommon in the speaker market. A Senior Fellowship at the Belfer Center for Science and International Affairs at Harvard Kennedy School and a board seat at The Economist Group give him sustained credibility on policy and governance, not only on product. Biography highlights CEO of Microsoft AI since March 2024, with responsibility for Copilot, Bing, Edge, MSN and GroupMe. Co-founder of DeepMind (2010), former head of Applied AI; the company was acquired by Google in 2014 in its largest European deal at the time. Co-founder and former CEO of Inflection AI, where he built the Pi assistant with Reid Hoffman and Karen Simonyan. Author of The Coming Wave (Crown, 2023) with Michael Bhaskar: New York Times bestseller; shortlisted for the Financial Times and Schroders Business Book of the Year; book of the year at the Financial Times, the Economist, Bloomberg and the Guardian. Senior Fellow at the Belfer Center for Science and International Affairs at Harvard Kennedy School; board member of The Economist Group. CBE in the 2019 New Year Honours; named to TIME’s 100 Most Influential People in AI in 2023 and 2024; TED main-stage speaker, “What is an AI anyway?” (April 2024). Biography DeepMind, Inflection AI and Microsoft AI are three of the most consequential AI organisations of the past fifteen years. Mustafa Suleyman co-founded two and now runs the third. He co-founded DeepMind in 2010, where he led the applied AI work and the DeepMind Ethics and Society research unit. He went on to co-found Inflection AI in 2022 with Reid Hoffman and Karen Simonyan, building Pi, an assistant designed for emotionally responsive conversation. In March 2024 Microsoft brought him in as CEO of Microsoft AI, with responsibility for Copilot, Bing, Edge and the company’s MAI frontier model team. His public argument turns on the containment problem. It is the task of keeping powerful technologies inside the control of the institutions meant to govern them, even as those technologies become cheaper and more accessible. He developed that argument in The Coming Wave, the book he wrote with Michael Bhaskar. It became a New York Times bestseller and was named a book of the year by the Economist, the Financial Times, Bloomberg and the Guardian. Outside Microsoft, he sits on the board of The Economist and is a Senior Fellow at the Belfer Center for Science and International Affairs at Harvard Kennedy School. Key speaking topics The future of artificial intelligence AI governance and the containment problem Frontier AI development and consumer deployment AI strategy for boards and senior leaders Technology, power and the nation-state The next wave of general-purpose technologies AI safety and alignment Ideal for CEOs and boards setting AI strategy and capital allocation Chief technology officers and chief product officers responsible for AI deployment Government leaders, regulators and policy advisors working on AI rules Senior leaders in financial services, healthcare, media and consumer technology Audience outcomes A working language for talking about AI risk and AI opportunity in the same conversation, anchored in the containment problem A clearer view of what frontier AI labs are actually building, from someone who runs one A sense of where consumer AI is heading over the next two to three years, beyond the current news cycle An honest read on which AI claims are worth taking seriously and which to discount

Why organisations work with Jonathan Reichental He has run the work he now speaks about. As CIO of the City of Palo Alto and CIO of O’Reilly Media, he owned budgets, projects and consequences, which is a different proposition to commenting on them from a research desk. The Palo Alto tenure produced a first-place category ranking in the Digital Cities Survey, a verifiable outcome rather than a claim of impact. His book catalogue, led by Smart Cities For Dummies with multiple follow-on titles across data governance, analytics and cryptocurrency, gives audiences accessible reference material they can share inside their own teams after the session. His adjunct teaching positions at UC Berkeley and the University of San Francisco, combined with LinkedIn Learning courses and a Forbes column, mean his explanations of emerging technology are built for non-specialist audiences without losing technical accuracy. He covers the breadth of the current executive agenda, quantum, AI, blockchain, smart cities, data governance, with the same pragmatic framing, which suits leadership audiences that need one session to cover multiple priorities. Biography highlights Founder and CEO of Human Future Former Chief Information Officer, City of Palo Alto, California; Palo Alto achieved first-place category ranking in the Digital Cities Survey during his tenure Former Chief Information Officer of O’Reilly Media; senior technology leadership at PricewaterhouseCoopers Adjunct professor at UC Berkeley and the University of San Francisco Author of Smart Cities For Dummies, Data Governance For Dummies, Data Analytics & Visualization All-in-One For Dummies and Cryptocurrency QuickStart Guide Forbes contributor; LinkedIn Learning course creator; recognised on CXOTalk’s 20 Influential CIOs list Biography Smart cities is one of the most hyped categories in public-sector technology and one of the hardest to deliver. Jonathan Reichental’s credibility starts with the fact that he did the delivery job. As Chief Information Officer of the City of Palo Alto, he led the technology work that produced a first-place category ranking in the Digital Cities Survey, on a public-sector budget and under the accountability that comes with it. The book that followed, Smart Cities For Dummies, is now one of the most widely used introductions to the field. His private-sector track record sits alongside. Earlier roles include CIO of O’Reilly Media and senior technology leadership at PricewaterhouseCoopers. The combination, public-sector, publishing-and-tech, and global consulting, is the reason his framing on digital transformation holds up in front of different audiences. He now runs Human Future, the advisory, investment and education firm he founded to focus on emerging technology strategy. The writing and teaching extend the same thesis. Alongside the smart cities titles, he has authored or co-authored Data Governance For Dummies, Data Analytics & Visualization All-in-One For Dummies, Cryptocurrency QuickStart Guide and The Apps Challenge Playbook, teaches as an adjunct professor at UC Berkeley and the University of San Francisco, contributes a column to Forbes and creates LinkedIn Learning courses. His recognition on CXOTalk’s 20 Influential CIOs list and Government Technology’s Top 25 Doers, Dreamers and Drivers places him inside the peer group his corporate and public-sector audiences consult anyway. For boards, city governments, utilities and enterprise CIOs trying to make real decisions about AI, quantum computing, blockchain and smart-infrastructure investment, Reichental brings the unusual combination of an operator’s record, a teacher’s clarity and a published author’s reference library. Key speaking topics Smart cities and digital government Emerging technology strategy (AI, quantum, blockchain) Data governance, analytics and the CIO agenda Public-sector technology leadership Digital transformation for enterprise and city organisations Ethics in technology leadership Ideal for CIOs, CDOs and chief transformation officers setting or refreshing digital strategy City governments, utilities and public-sector organisations running smart-city or digital-services programmes Executive committees and boards needing a single session to level-set on emerging technologies Technology conferences and industry summits requiring an author-led keynote with operator credentials Audience outcomes A structured view of which emerging technologies are production-ready, which are near-term, and which are further out Specific reference cases from Palo Alto and other smart-city programmes on what actually works in public-sector digital delivery A clearer executive framing of data governance, analytics and AI choices, grounded in the relevant For Dummies material Practical prompts for translating emerging-tech strategy into a 12- to 24-month roadmap A shareable reading list and follow-on LinkedIn Learning courses for leadership teams