AI Ethics & Responsible Technology

Why organisations work with Anne-Marie Imafidon She has run the experiment at scale. Stemettes has engaged more than 60,000 young women and non-binary young people across the UK, Ireland and Europe since 2013, giving her a live evidence base on what moves technical participation and what does not. Her technical credibility is not borrowed. Master’s in Mathematics and Computer Science from Oxford at 20, Honorary Fellow of Keble College, and guest arithmetician on Channel 4’s Countdown for 60 episodes, so technical audiences engage her as a peer rather than an advocate. She sits inside the UK policy conversation on digital skills. Co-Chair of the Institute for the Future of Work, 2022-2023 President of the British Science Association, and DSIT Women in Tech Envoy, which gives leaders a direct line to how regulation and industrial strategy are likely to land. She has a published thesis. She’s In CTRL (Transworld, 2022) argues that women need to take back tech as users, builders and decision-makers; that frame is portable into strategy conversations about product, customer and workforce. She is comfortable in front of non-technical boards. Her broadcast work and Chancellorship of Glasgow Caledonian University mean she translates between technical reality and senior decision-maker vocabulary without losing either. Biography highlights Co-founder and CEO of Stemettes, social enterprise founded in 2013 that has reached 60,000+ young women and non-binary young people across the UK, Ireland and Europe. Master’s in Mathematics and Computer Science, University of Oxford, aged 20; Honorary Fellow of Keble College, Oxford. Appointed MBE in the 2017 New Year Honours for services to young women and STEM. Chancellor of Glasgow Caledonian University; 2022-2023 President of the British Science Association; Co-Chair of the Institute for the Future of Work. Author of She’s In CTRL: How Women Can Take Back Tech (Transworld, 2022). Guest arithmetician on Channel 4’s Countdown across 60 episodes (2021-2022), first Black woman to take the Countdown board; voted Computer Weekly’s Most Influential Woman in UK Tech (2020); Forbes Top 50 Women in Tech. DSIT Women in Tech Envoy, co-chairing a UK government Taskforce with the Secretary of State for Science, Innovation and Technology (2025). Biography Stemettes was set up in 2013 after its co-founder returned from the Grace Hopper Celebration in 2012 and decided the UK needed its own infrastructure for girls in STEM. More than 60,000 young women and non-binary young people have passed through its programmes since, across the UK, Ireland and Europe. That operating record is the spine of Anne-Marie Imafidon’s authority on technology talent. The technical credentials are unusual. Imafidon took her Master’s in Mathematics and Computer Science at Oxford at 20, is an Honorary Fellow of Keble College, and was the guest arithmetician on Channel 4’s Countdown for 60 episodes in 2021 and 2022, the first Black woman to run the Countdown board. She was appointed MBE in 2017 for services to young women and STEM. Her public roles put her inside the UK conversation on digital skills and industrial strategy. She is Chancellor of Glasgow Caledonian University, Co-Chair of the Institute for the Future of Work, served as President of the British Science Association in 2022-2023, and in 2025 was appointed the Department for Science, Innovation and Technology’s Women in Tech Envoy, co-chairing a Taskforce with the Secretary of State. Her book She’s In CTRL, published by Transworld in 2022, argues that women should treat technology as something to take control of, not just consume or be represented within. For senior leaders it reframes the DEI-in-tech conversation as a product and capability question: who builds the tools, who governs them, and whose problems they get designed to solve. Key speaking topics Women and underrepresented groups in STEM Technology talent pipelines and digital skills Future of work and AI Inclusive product and technology design Social entrepreneurship at scale UK digital policy and industrial strategy Responsible and inclusive AI Ideal for CHROs, CPOs and heads of talent building technology hiring pipelines beyond the usual funnel. CTOs, CDIOs and engineering leaders under pressure to improve retention and representation in technical teams. Boards and ExCos setting policy on AI, digital skills and workforce strategy, particularly in regulated sectors. Corporate foundations, ESG leads and public-sector partners designing STEM and social mobility interventions. Audience outcomes A sharper read on why conventional diversity-in-tech programmes under-deliver and where the real intervention points sit. A working vocabulary for discussing inclusive AI and technology design at board level without defaulting to platitudes. Concrete examples, drawn from Stemettes and UK policy work, of what moves technical participation and retention. A reframe of women-in-tech as a product, governance and capability issue, not only a hiring issue. A sense of how UK digital skills policy and regulation are likely to shape talent strategy over the next cycle.

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 Shivvy Jervis A forecaster who has worked through Microsoft, the United Nations, Salesforce, Lenovo and the UK Government’s digital division, briefing each on where digital, AI and neuroscience advances are heading next. A second specialism in applied neuroscience, covering drive, stress and persuasion, which gives her sessions a behavioural dimension most technology speakers cannot offer. A broadcaster’s craft built across CNN, Reuters and a Discovery Channel documentary, so she can hold a leadership audience for a keynote and run the full event around it. Recognition from Forbes (Trailblazer), Management Today (Champion of Change) and Britain’s Women of the Year, anchoring her credibility outside the speaker circuit. Sustained focus on human-centred technology rather than tool demos, which lands with audiences asking how to deploy AI without losing the workforce in the process. Biography highlights Founder of FutureScape 248, a social innovation and forecasting consultancy launched in 2017. Former CNN broadcast journalist; presenter of a two-part Discovery Channel documentary on the future of cities. Forecasting work conducted for Microsoft, the United Nations, Salesforce, Lenovo and the UK Government’s digital division. Named a Trailblazer by Forbes, one of Britain’s Women of the Year, and a Champion of Change by Management Today. Two long-running streaming video series on technology and innovation with a reported audience of 14 million. Recognised by the World Economic Forum and cited by CNN as one of the most trusted voices on technology. Biography Most boards now sit between two pressures on technology. There is a brief to “do something with AI” arriving from above, and a workforce asking what any of it means for their job. The reading they need is editorial, not vendor-led. That is the gap Shivvy Jervis works in. As founder of FutureScape 248, the forecasting consultancy she launched in 2017, she has briefed Microsoft, the United Nations, Salesforce, Lenovo and the UK Government’s digital division on what is plausible, what is hype, and what is close enough to commit capital to. The frame is consistently human-centred: not what the technology does, but what it changes about how people work, decide and buy. A second strand of her practice draws on applied neuroscience, covering drive, stress and persuasion at work. That gives her keynote a behavioural dimension that most technology speakers cannot match, and it lands with audiences who are wary of pure futurism. The output is editorial in tone, built from years as a broadcast journalist with CNN, Reuters and Discovery Channel. Her recognitions sit outside the bureau circuit, including Forbes Trailblazer, Britain’s Women of the Year, and Champion of Change from Management Today. The reason senior buyers commission her is more specific than awards. She translates the noise around AI and emerging tech into the small number of shifts a leadership team needs to act on. Key speaking topics Artificial intelligence and human-centred deployment Forecasting and emerging technology Digital transformation and the future of work Applied neuroscience for performance and decision-making Cybersecurity, privacy and data ethics Innovation strategy in regulated industries Ideal for Boards and executive teams setting AI and digital strategy CHROs and transformation leads handling workforce response to AI Innovation, digital and customer experience leadership Industry conferences seeking a forecaster who can also host Audience outcomes A clear read on which AI and emerging-tech shifts will affect the audience’s industry on a near-term horizon. A behavioural lens on adoption, covering how people respond to AI in their work and what that means for change plans. Specific examples from her work with Microsoft, the UN, Salesforce, Lenovo and UK Government, used as reference points rather than case studies. A vocabulary leaders can use internally to separate hype from substance in vendor and pilot decisions.

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

Why organisations work with 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 Lord Chris Holmes He is the peer behind the Artificial Intelligence (Regulation) Bill, giving boards a direct read on the likely shape of UK AI legislation rather than a second-hand interpretation of it. He co-chairs the All-Party Parliamentary Groups on Fintech, AI, Blockchain, Assistive Technology and the Fourth Industrial Revolution, so he sees the full policy stack in one view. His authored Cabinet Office review and his 2017 DLT for Public Good report give him a track record of turning parliamentary inquiry into usable policy recommendations, not just speeches. He ran Paralympic Integration for London 2012, a programme delivered on a fixed date with global scrutiny, which grounds his technology arguments in large-scale operational delivery. Inclusion sits inside his technology argument, not beside it, so a single session covers AI governance and the workforce implications without stitching two speakers together. Biography highlights Life peer in the House of Lords since 2013, sitting as Baron Holmes of Richmond. Sponsor of the Artificial Intelligence (Regulation) Bill [HL], which had its second reading in March 2024 with cross-party support from over 20 peers. Member of the House of Lords Science and Technology Select Committee; previously served on the AI, Democracy and Digital Technologies, Financial Exclusion, Social Mobility and Digital Skills committees. Co-chair of the All-Party Parliamentary Groups on Fintech, AI, Blockchain, Assistive Technology and the Fourth Industrial Revolution. Director of Paralympic Integration for London 2012; Britain’s most successful Paralympic swimmer with nine golds, five silvers and one bronze across four Games. MBE (1993); honorary Doctor of Laws, University of Bath (2012); inducted into the Paralympic Hall of Fame. Biography The UK has been trying to decide what kind of AI regulator it wants to be. Lord Chris Holmes has been writing a specific answer to that question inside the House of Lords, most visibly through his Artificial Intelligence (Regulation) Bill, which received its second reading in March 2024 with support from more than twenty peers across party lines. He sits on the House of Lords Science and Technology Select Committee and has previously served on the committees for Artificial Intelligence, Democracy and Digital Technologies, Financial Exclusion, Social Mobility and Digital Skills. That run of committee work, alongside co-chairing parliamentary groups on Fintech, Blockchain, Assistive Technology and the Fourth Industrial Revolution, gives him an unusually wide view of how technology policy is being written across Westminster. Before the Lords, he was Director of Paralympic Integration for London 2012, responsible for making the Paralympics work at the scale of the Olympic Games. The programme hit a fixed date with worldwide visibility, and it informs how he talks about delivering complex technology and inclusion agendas under pressure. His authored work includes the Cabinet Office review on opening public appointments to disabled people and the 2017 report on distributed ledger technologies for public good. For a board trying to understand what AI governance, digital assets and inclusive design will mean in practice, he offers a view formed by drafting the law itself. Key speaking topics AI regulation and governance Fintech and the future of financial services The Fourth Industrial Revolution Distributed ledger technology and digital assets Inclusive technology and accessibility by design Diversity and inclusion in the workforce Leadership lessons from elite sport Delivering large-scale public programmes Ideal for Board and executive committee sessions on AI strategy, governance and regulatory exposure. CTOs, CIOs and heads of policy in banking, insurance and payments navigating fintech and digital asset rules. CHROs and inclusion leads connecting workforce strategy to accessible technology design. Public sector and regulated-industry leadership teams preparing for UK AI legislation. Audience outcomes A clearer view of how UK AI regulation is likely to evolve and what that means for current technology investment decisions. A specific sense of where fintech, digital assets and assistive technology policy are converging. Practical reference points for building inclusion into product and workforce decisions, rather than treating it as a separate workstream. A memorable throughline from elite performance to policy design that leadership teams can use internally.

Why organisations work with Hayley Barnard Two decades advising executive boards at Microsoft, HSBC, Roche, Mercedes-Benz, Deloitte and Lidl on how inclusion changes the decisions leaders actually make about hiring and promotion. Through Mix Works, her 2025 AI and culture transformation firm, she advises leaders on responsible AI adoption and on where bias enters both human and machine decisions. Treats bias as a decision-quality problem, so leaders leave with checks they can apply in the next hiring round or AI deployment rather than a values statement. Uses her own endurance record, a solo English Channel swim and a Baffin Island traverse, as working material on decision-making under pressure. Co-designed the LeasePlan Women’s Arctic Challenge, a gender-balance campaign that ran as a verifiable all-female expedition. Biography highlights Founder and CEO, Mix Diversity Developers (2014); founder and CEO, Mix Works (2025), an AI and culture transformation firm. Founder of MixLEARN, a digital DEI learning platform. Non-Executive Director, YHA; Trustee, UFI VocTech Trust (appointed March 2025). Clients include Microsoft, HSBC, Roche, Mercedes-Benz, Deloitte, Capital One, Lidl, Diageo, GSK, Virgin Media and Vodafone. Co-led the LeasePlan Women’s Arctic Challenge across Baffin Island, a DEI campaign built on a live all-female expedition. Solo English Channel swim (14h 12m, no wetsuit); 20 Bridges 46km Manhattan Island swim. Biography A hiring manager shortens a shortlist. A committee weighs two candidates for promotion. Increasingly, a screening tool ranks the first round before any human sees it. The biases that shaped those calls for decades are now being trained into the systems meant to remove them. This is the territory Hayley Barnard has worked in for two decades. As founder and CEO of Mix Diversity, the consultancy she started in 2014, she advises boards at Microsoft, HSBC, Roche, Mercedes-Benz and Lidl on inclusive leadership, unconscious bias and gender balance. The brief is operational: change how decisions get made, not add another module to the intranet. In 2025 she founded Mix Works to take that question into AI. The firm helps enterprises adopt AI responsibly and examines where bias enters automated decisions, the issue leaders now face as hiring and performance tools move into machine hands. It extends twenty years of work on human judgement into how machines make the call. Her route in was unusual. She ran Sir Chay Blyth’s Challenge Business at 23 and co-led the LeasePlan Women’s Arctic Challenge, an all-female Baffin Island traverse that doubled as the company’s gender-balance campaign. The throughline is decision-making under fatigue and pressure, the same problem on an ice cap as in a promotion committee. She has since swum the English Channel solo, no wetsuit, in 14 hours and 12 minutes. Key speaking topics Bias in human and AI-driven decisions Responsible AI adoption and governance Inclusive leadership Decision quality and fairness Gender balance and women’s leadership pipelines Leadership resilience under pressure Cross-cultural team performance Ideal for Executive boards and CEO-level teams setting direction on inclusion and on responsible AI. CHROs, CPOs and heads of talent accountable for hiring and promotion outcomes. Leadership teams introducing AI into hiring, performance or customer decisions. International Women’s Day and gender-balance programmes at enterprise scale. Audience outcomes A read on where bias enters their decisions, including the ones now made by AI tools, with the moments named. Behavioural checks leaders can apply in the next hiring or promotion cycle. Questions to ask before trusting an AI-driven hiring or performance decision. A commercial case for gender balance that holds up in a board conversation. Language to challenge inclusion theatre without stalling real change.

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