GAEA Talks

This episode explores how leaders, organisations, and individuals should think about AI beyond hype, focusing on governance, ethics, risk, and human responsibility. Oliver Patel shares deep insight into how AI should be used intentionally, not blindly, especially in high-stakes decision-making environments like enterprise, government, and education. The conversation unpacks what AI really is, where its risks come from, why context matters more than capability, and how human judgement, authenticity, and experience remain irreplaceable. Ultimately, this is a grounded, forward-looking discussion about how to work with AI intelligently without outsourcing thinking, values, or accountability.Oliver Patel is a leading expert in AI ethics, governance, and responsible technology, currently serving as Head of Enterprise AI Governance at AstraZeneca. His career spans academia, public policy, and industry, including research roles at University College London and work on international data policy within the UK government during the post-EU transition period. With a background in philosophy and public policy from the London School of Economics, Oliver has been at the forefront of shaping AI governance as a professional discipline, advising organisations on how to deploy AI responsibly, manage risk, and align emerging technologies with human values, legal obligations, and societal impact.Pre-order Fundamentals of AI Governance here:https://aigovernancebook.com/Click to view the Enterprise AI Governance newsletter: https://oliverpatel.substack.com/View Oliver Patel's LinkedIn profile: https://www.linkedin.com/in/oliver-patel/The GAEA Talks podcast series to brought to you by GAEA AI https://gaealgm.ai

This episode explores the deep and often overlooked relationship between artificial intelligence and human potential. Nichol Bradford brings a long-term perspective on technology, drawing from her background in gaming, investing, and human-centred innovation to argue that AI’s true value lies not in efficiency alone, but in enhancing agency, creativity, and connection.The conversation moves beyond hype to examine how AI is reshaping work, leadership, and society itself - dissolving traditional roles, redefining competition, and forcing organisations to rethink what value creation really means. Central themes include human agency, belonging, adaptation versus adoption, and why the future of work will depend on teams, learning cultures, and leaders who can navigate uncertainty.Ultimately, the episode makes a compelling case that while AI can remove constraints, it cannot replace meaning. As synthetic content grows and automation accelerates, humans will increasingly seek what only other humans can provide: purpose, trust, creativity, and choice.Nichol Bradford is a technology investor, advisor, and long-time advocate for human-centred innovation. She is the co-founder of an early-stage venture fund focused on “human tech” — technologies designed to help people heal, grow, and thrive — and the founder of Human Tech Week, a global gathering exploring the intersection of AI, health, work, and cities.With over two decades of experience across consumer technology, gaming, and digital platforms, Nichol previously led major operations in China and worked on large-scale technology businesses and mergers. She now advises global organisations on the integration of AI and human intelligence, helping leaders understand how emerging technologies reshape agency, leadership, and value creation.Her work sits at the intersection of AI strategy, organisational design, and human potential - making her a leading voice on how societies and businesses can adapt responsibly in an era of rapid technological change.Find out more at nicholbradford.comThe GAEA Talks podcast series to brought to you by GAEA AI https://gaealgm.ai

This episode explores the future of creativity in the age of AI through the lens of actress, physicist and producer Eline Van Der Velden, creator of AI character Tilly Norwood. The conversation covers her journey from musical theatre and physics into film production, her experiments with AI actors, and the backlash surrounding them. Rather than focusing on fear, the episode reframes AI as a creative amplifier - comparing it to past technological shifts like the industrial revolution, robotic surgery and digital publishing. They dive into ethics, copyright, environmental impact, and how AI could democratise storytelling while preserving human creativity. Ultimately, it’s about adaptation, opportunity and how artists can thrive rather than be replaced.Eline Van Der Velden is an actress, physicist and producer, and the founder of production company Particle6. Born in Curaçao and trained in musical theatre before studying physics, Eline has built a unique career bridging science and storytelling. She previously starred in and created award-winning comedy character Miss Holland, later commissioned by the BBC, and has worked across film, TV and digital production.In recent years, Eline has become a leading voice in AI-driven creativity, creating the controversial AI character Tilly Norwood to explore how technology can amplify - not replace - human creativity. With experience spanning physics, acting and production, she brings a rare multidisciplinary perspective to the future of entertainment, ethics and innovation in the AI era.To see more of Eline's work and Particle6, visit https://www.particle6.com/The GAEA Talks podcast series to brought to you by GAEA AI https://gaealgm.ai

This episode is a deep, strategic conversation about the next phase of AI adoption in business, moving beyond surface-level automation and failed proof-of-concepts. Graeme Scott reframes AI not as a tool for short-term efficiency, but as a long-term infrastructure decision rooted in trust, transparency, human expertise, and real-world context. The discussion explores why many 2025 AI initiatives failed, how fear-driven adoption created hidden risk, and why 2026 will mark a shift toward accountable, domain-specific, and human-augmented AI systems.
Key themes include trust vs black-box AI, data sovereignty, agentic architectures, the limits of large language models, and the importance of geo-temporal context in decision-making. The episode also challenges the idea that AI will replace humans, arguing instead for augmentation at scale - where machines handle complexity and humans retain judgment, ethics, and creativity. It’s a forward-looking conversation for leaders who want AI to actually deliver value, not just headlines.
Graeme Scott is a technology founder, strategist, and host of GAEA Talks, where he explores the real-world impact of artificial intelligence with leading thinkers, academics, and industry leaders. With a background spanning music, film, design, and enterprise technology, Graeme brings a rare interdisciplinary perspective to AI - viewing it not as a standalone tool, but as part of a broader system involving people, culture, risk, and decision-making.
As the founder of GAEA AI, Graeme focuses on geo-temporal intelligence, risk, resilience, and trust-based AI systems designed for enterprise environments. His work centres on helping organisations move beyond surface-level automation toward AI architectures that are transparent, scalable, and human-augmented. Through both his company and the podcast, he challenges conventional AI narratives and advocates for responsible adoption that delivers long-term value rather than short-term hype.

The GAEA Talks podcast series to brought to you by GAEA AI https://gaealgm.ai

This episode explores what it really takes to move AI from hype to reality inside enterprise environments. Host Graeme Scott is joined by AI architect and data science leader Sumitro Ghatak to unpack why most AI proof-of-concepts fail, the hidden risks of rushing agentic and generative AI into production, and why trust, governance, cost, and energy usage matter as much as capability. The conversation spans AI singularity, hallucinations, enterprise risk, ROI, foundational machine-learning knowledge, and the need for a new AI leadership function inside organisations - ultimately reframing AI not as a replacement for people, but as augmented intelligence that drives sustainable growth.Sumitro Ghatak is a Lead Data Scientist and AI Architect for IBM, with over a decade of experience designing and deploying large-scale AI systems across global enterprises. With deep expertise spanning traditional machine learning, generative AI, and agentic systems, Sumitro has worked across industries in Europe, Asia, and the United States, helping organisations move AI from proof-of-concept into real-world production.An IEEE Senior Member and active reviewer for international research conferences, Sumitro also contributes to intellectual property development and AI governance initiatives. His work focuses on building responsible, scalable AI systems that balance innovation with trust, security, and long-term business value - making him a leading voice on how organisations should adopt AI without falling victim to hype.The GAEA Talks podcast series to brought to you by GAEA AI https://gaealgm.ai