AI in Motion - Practical AI for Researchers, Innovators and Decision Makers

iksait Media

AI in Motion is a podcast about the real world impact of AI. Hosted by Arash Hajikhani, it explores how AI is reshaping business, research and society through conversations with leaders, innovators and practitioners. Each episode dives into the opportunities, risks and ethical questions of applied AI, offering grounded insights for those navigating this evolving landscape. No hype, just practical, thoughtful discussions.

Episodes

  1. 1d ago

    Did AI Kill the Search Engine? Rethinking Search in the Era of AI

    What happens to our judgment when the answer arrives before the search even begins? In this episode of AI in Motion, we explore the fate of search in the age of AI with Lisa Given, Distinguished Professor of Information Sciences at RMIT University and Director of the Centre for Human-AI Information Environments. Lisa unpacks why conversational AI isn't just a faster search box, but a change in kind: a system that talks like us, apologizes like us and asks us to "just trust" it , even when we can't see where its answers come from. Lisa draws on decades of research into human information behavior to explain why searching is itself a learning process, what we lose when serendipitous browsing and the "in-between" disappear and how chatbots' performed warmth, agreement and apology build unwarranted trust. She also walks through the cautionary tale of Tessa, an eating disorder support chatbot that had to be shut down after it learned to give harmful advice, the limits of handing qualitative research to AI and Australia's heated debate over data centers, community consultation and data sovereignty. This conversation challenges us to rethink what it means to look for information and why the skills of searching, judging and questioning still matter. Why listen? Discover why the shift from card catalogue to Google was a change in degree, but conversational AI is a change in kind.Explore how chatbots use emotional performance (warmth, agreement, apology) to build trust, and why that makes their answers more, not less, dangerous.Learn from the Tessa case study what happens when a support chatbot harms vulnerable users and the human staff are no longer there.Understand why qualitative analysis can't simply be handed over to AI: the researcher is embedded in the research, not separate from it.Gain a ground-level view from Australia on data centres, energy and water concerns, community trust and data sovereignty.Whether you're a researcher, educator, policymaker or business leader, this episode offers a thoughtful, grounded and human-centered perspective on how AI is reshaping our relationship with information, and what we can do to keep our judgment sharp. Keywords: AI and search, end of search, search engines, human information behavior, AI trust, chatbot apology, Tessa chatbot, National Eating Disorders Association, Google AI summaries, serendipity, qualitative research, AI research methods, data centers Australia, data sovereignty, RMIT, Lisa Given, Arash Hajikhani, AI in Motion podcast

    Did AI Kill the Search Engine? Rethinking Search in the Era of AI

  2. Oct 21

    Secure AI or AI at Risk? Navigating the New Cybersecurity Landscape

    What happens when AI’s rapid adoption outpaces its safeguards? In this episode of AI in Motion, we explore the duality of AI in cybersecurity with Samuel Marchal, Research Professor for Cybersecurity and Secure AI at VTT Technical Research Institute. Samuel unpacks how AI is both a powerful tool for vulnerability detection and a potential risk, from autonomous agents exploiting systems to the geopolitical stakes of AI sovereignty. Samuel shares insights from his journey bridging academia and industry, revealing how open source AI agents can be weaponized just as effectively as frontier models and why Europe’s lack of ownership over cutting edge AI creates strategic vulnerabilities. He also dives into the hidden costs of AI dependency, the need for confidential computing and how diversification of talent, infrastructure and models can mitigate risks. From the OpenAI Hugging Face incident to the ethical dilemmas of AI alignment, this conversation challenges us to rethink how we balance innovation with security in an era of AI driven threats. Why listen? Discover how AI is reshaping cybersecurity, from penetration testing to red teaming and why human oversight remains critical.Explore the geopolitical implications of AI sovereignty and what Europe can do to avoid falling behind.Learn why diversifying AI interactions (models, tools and perspectives) is key to avoiding echo chambers and reinforcing biases.Understand the shift from static security measures to continuous, adaptive improvement in AI driven systems.Gain insights into how talent, infrastructure and open source models can help Europe leapfrog in the AI race. Whether you’re a cybersecurity professional, policymaker or business leader, this episode offers a practical, grounded and forward looking perspective on how AI is transforming security and how we can navigate its risks responsibly. Keywords: AI cybersecurity, secure AI, AI sovereignty, AI risks, AI agents, OpenAI Hugging Face, Europe AI, VTT, Samuel Marchal, Arash Hajikhani, AI in Motion podcast, AI alignment, confidential computing, AI dependency, diversification in AI, future of cybersecurity

    Secure AI or AI at Risk? Navigating the New Cybersecurity Landscape

  3. Oct 7

    The Human in the Loop: The Future of Knowledge Work

    What happens when AI moves beyond chatbots and calculators to redefine how we process, interpret, and act on knowledge? In this episode of AI in Motion, we explore the intersection of artificial intelligence and qualitative expertise with Henri Schildt, CEO & co-founder of Skimle.com and Professor of Strategy at Aalto University. Henri dives into why AI should augment, not replace, human judgment, especially in fields like qualitative research, law, and strategy. He shares how his journey from academia to entrepreneurship led him to build tools that empower experts to analyze large bodies of text with transparency, traceability, and counterevidence, ensuring that AI serves as a collaborative harness rather than a black box. From the limitations of AI in understanding context (e.g., cultural nuances, organizational dynamics) to its potential to accelerate learning and decision-making, this conversation challenges the notion that automation comes at the cost of human insight. Henri also reflects on the future of work, where continuous monitoring and iterative improvement replace static projects, and why curiosity, critical thinking, and ethical responsibility remain irreplaceable in an AI-augmented world. The discussion touches on the OpenAI/Hugging Face incident as a cautionary tale about AI alignment, and why human oversight is non-negotiable in high-stakes domains. Why listen? Discover how AI can empower experts, from researchers to lawyers, to work faster and smarter without sacrificing depth or nuance.Explore the design principles behind AI tools that prioritize traceability, counterevidence, and human accountability.Learn why context matters in AI-driven analysis and how to avoid the pitfalls of over-automation in knowledge work.Understand the shift from project-based work to continuous, adaptive improvement in organizations leveraging AI.Gain insights into how education and skill-building must evolve to prepare the next generation for an AI-augmented future. Whether you’re a strategist, researcher, educator, or business leader, this episode offers a practical, grounded, and thought-provoking look at how AI is reshaping the way we learn, decide, and create. Keywords: AI in knowledge work, human-AI collaboration, qualitative research, AI and expertise, ethical AI, AI alignment, future of work, Skimle, Aalto University, Henri Schildt, Arash Hajikhani, AI in Motion podcast, traceability in AI, counterevidence, continuous improvement, AI for professionals, responsible automation

    The Human in the Loop: The Future of Knowledge Work

  4. Sep 23

    AI and the Future: How Strategic Foresight Meets Artificial Intelligence

    What happens when the tools designed to analyze the past and present are asked to help shape the future? In this episode of AI in Motion, Antti-Jussi Tahvanainen, Head ofStrategic Foresight at VTT Technical Research Centre of Finland, joins host Arash Hajikhani to explore the intersection of strategic foresight and artificial intelligence. Antti-Jussi shares how foresight isn’t about predicting the future but about identifying the building blocks, technologies, legislation, economic relationships, that already exist and imagining how they might combine in new ways. He explains why the future is not a fixed destination but a landscape of possibilities, and how AI can expand humanperspective, accelerate analysis, and mitigate biases in theprocess of envisioning what’s next. From the limitations of AI, such as its inability to predict or make decisions, to its role in scaling productivity (e.g., generating millions of scenarios in hours), this conversation dives into the practical and philosophical challenges of using AI in foresight. Antti-Jussi also reflects on the human responsibility of shaping the future, the importance of learning and understanding over ready-made answers, and why the most powerful insights often come from collidingfamiliar ideas with new signals. Why listen? Discover how strategic foresight moves beyond prediction to future shaping and why AI is a tool, not a replacement, for human judgment.Explore how AI can expand perspectives, spark creativity, and accelerate scenario analysis while acknowledging its biases and limitations.Learn why human accountability remains critical in decision-making, even as AI takes on more analytical heavy lifting.Understand the shift from data-driven decisions to vision-driven action in long-term strategy.Gain insights into how collaboration, ecosystems, and partnerships amplify the impact of foresight work. Whether you’re a business leader, strategist, technologist, or simply curious about how AI is reshaping the way we think about the future, this episode offers a thoughtful, grounded, and practical perspective on the opportunities and challenges at the intersection of AI and foresight. Keywords: strategic foresight, AI and the future, artificial intelligence, future shaping, scenario analysis, decision-making under uncertainty, AI in business, innovation strategy, VTT Technical Research Centre, Antti-Jussi Tahvanainen, ArashHajikhani, AI in Motion podcast, building blocks of the future, AI biases, human-AI collaboration, long-term strategy, uncertainty in business, foresight methodologies, AI productivity, ecosystem building

    AI and the Future: How Strategic Foresight Meets Artificial Intelligence

  5. Sep 9

    AI Adoption: The Global Race and Its Ethical Dilemmas

    What does it mean to adopt AI in a world where the rules are still being written? In this episode of AI in Motion, we explore the global race to integrate AI and the ethical dilemmas that come with it. From AI agents overstepping boundaries to the productivity paradox of generating more content than we can process, we confront the unintended consequences of rapid innovation. How do we balance trust, security, and authenticity in a landscape where AI is both a tool and a disruptor? And what happens when the bottleneck shifts from creating knowledge to discerning its value? Drawing on global perspectives from China’s rapid integration to Europe’s cautious approach, we ask: Are we gaining efficiency or just adding layers of complexity? This is a conversation about the responsibility of building a future where AI serves humanity, not the other way around. Why listen? Understand how AI adoption is creating new challenges in trust, security, and decision making.Explore the productivity paradox and why more AI doesn’t always mean better outcomes.Hear real world examples of AI agents pushing boundaries and what it means for all of us.Gain insights into the global AI race and the ethical dilemmas it presents.Reflect on how to navigate a world where AI is reshaping work, trust, and competition.Whether you are a leader, innovator, or simply curious about the future of AI, this episode offers a grounded, critical perspective on the questions we cannot afford to ignore.Keywords: AI adoption, global AI race, AI agents, productivity paradox, unintended consequences, AI trust, AI security, AI ethics, AI in 2026, AI and decision making, AI disruption, AI and responsibility, AI in Europe, AI in China, AI in the US, real world AI, AI challenges.

    AI Adoption: The Global Race and Its Ethical Dilemmas

  6. Trailer

    Launching Season Two

    Cutting through the noise, one question at a time. This season, we explore what actually happens when organizations try to use AI. No predictions, no fearmongering, just real stories and grounded insights. From separating signal from noise to the tangible impacts on work and thought, we ask the questions worth taking seriously. Let’s get moving.

  7. Jun 10

    The Art and Science of AI-Driven Foresight

    AI promised to make sense of the world. But what if the real challenge is not the volume of data it is knowing what to trust, how to validate it, and how to turn it into actionable insights? In this episode of AI in Motion, hosts Michael Hanf and Arash Hajikhani use the 4Growth project as a case study to explore how AI is being used for foresight and horizon scanning in agriculture and forestry. From curating knowledge basesto clustering insights and tracking trends over time, they ask: Are we using AI to simply speed up the process, or are we leveraging it to ask better questions and make more informed decisions? Key takeaways: - How the 4Growth project uses AI to build a rigorous, bounded knowledge base to avoid the pitfalls of inferenceand noise. - The balance between human judgment and AI tools in turning data into meaningful insights. - Why transparency, validation, and context are critical when using AI for foresight. Subscribe now and join the conversation AI in Motion is produced by iksait Media and funded by theEuropean Union (GA no 101134855, 4Growth). Views are those of the hosts andguests only.

    The Art and Science of AI-Driven Foresight

  8. May 20

    AI for Intelligence

    AI promised to make sense of the world. Instead, it’s drowning us in data. In this episode of AI in Motion, hosts Arash Hajikhani and Michael Hanf explore what “intelligence” really means in the age of AI. How are large language models and knowledge graphs helping us extract meaning from the noise and what are we trading for speed and convenience? From automated innovation tracking in Finland’s economy to the ethical dilemmas of competitive intelligence, they ask: Are we using AI to augment our thinking, or are we outsourcing the very context that makes information valuable? No hype, no buzzwords, just a raw look at the tools reshaping how we know what we know. Key takeaways: How LLMs and knowledge graphs transform unstructured data into actionable intelligence.The hidden costs of automation: What do we lose when we rely on AI to “understand” for us?Why context is everything and how to avoid the trap ofincomplete or misleading insights.The fine line between competitive advantage andethical compromise in AI-driven analysis.For further reading, you can find information here: SFINNO 2.0 – Advancing the Database of Finnish InnovationsLeveraging large language models and knowledge graphs to map AI innovations in FinlandWhat Is the claude.md File? How to Write a Permanent Instruction Manual for Claude Code AI in Motion is produced by iksait Media and funded by the European Union (GA no 101134855, 4Growth). Views are those of the hosts and guests only.

    AI for Intelligence

  9. May 6

    The Commercialization of AI

    AI promised to make everything easier. But what if the real cost isn’t just money it’s our data, our expertise, and even our ability to decide for ourselves? In this episode of AI in Motion, hosts Arash Hajikhani and Michael Hanf cut through the hype to explore the hidden trade-offs of commercial AI. From biased search results to algorithms replacing human expertise, they ask: Are we using AI to amplify our capabilities, or are we outsourcing our thinking and our responsibility along the way? Key takeaways: How commercial AI isn’t just a tool it’s reshaping power, ownership, and trust.The risks of outsourcing expertise when AI knows more about your business than you do.Why convenience comes at a cost are we trading control for efficiency?AI in Motion is produced by iksait Media and funded by theEuropean Union (GA no 101134855, 4Growth). Views are those of the hosts andguests only.

    The Commercialization of AI

  10. Apr 22

    Future of Work

    AI promised to make work easier. But what if the real cost isn’t just jobs—it’s our cognitive skills, our collective experience, and even our ability to think critically? In this episode of AI in Motion, hosts Arash Hajikhani and Michael Hanf cut through the hype to explore the real impact of AI on the way we work. From the hidden trade-offs of productivity tools to the blurring lines of accountability, they ask: Are we using AI to augment our capabilities, or are we outsourcing our thinking, and our responsibility, along the way? Key takeaways: > Why AI isn’t just a tool—it’s reshaping roles, culture, and even how we trust each other. > The cognitive skills we risk losing when we rely too much on algorithms. > How organizations and individuals can navigate this shift without getting left behind. AI in Motion is produced by iksait Media and funded by theEuropean Union (GA no 101134855, 4Growth). Views are those of the hosts andguests only.

    Future of Work

  11. Apr 8

    Signal in the Noise

    AI promised to make information easier to find. Instead, we’re drowning in noise. In this debut episode of AI in Motion, hosts Michael Hanf and Arash Hajikhani explore the paradox of AI driven information overload: How did we go from scarcity to overload and why does it feel harder than ever to find what matters?   From rabbit holes that steal our time to AI generated research polluting the scientific record, they ask: How do we stay critical, intentional, and human in a world where machines shape what we see, read, and believe? No buzzwords, no predictions just real talk about the challenges and choices ahead.   Key takeaways: > Why AI’s "help" often feels like a trap and how to use it intentionally.> The hidden cost of information overload: trust, clarity, and our own thinking.> Where to draw the line between leveraging AI and losing our critical edge. AI in Motion is produced by iksait Media and fundedby the European Union (GA no 101134855, 4Growth). Views are those of the hostsand guests only.

    Signal in the Noise

  12. Trailer

    AI in Motion - Trailer

    Cutting through the hype, one conversation at a time. Meet Arash Hajikhani (Research Professor for AI at VTT) and Michael Hanf (strategy professional) as they launch AI in Motion, a podcast exploring how artificial intelligence actually works in organizations, policy, and society. No buzzwords, no predictions, just real stories and grounded insights from the frontlines of applied AI. Coming soon. Let’s talk AI without the fluff.

    AI in Motion - Trailer
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AI in Motion is a podcast about the real world impact of AI. Hosted by Arash Hajikhani, it explores how AI is reshaping business, research and society through conversations with leaders, innovators and practitioners. Each episode dives into the opportunities, risks and ethical questions of applied AI, offering grounded insights for those navigating this evolving landscape. No hype, just practical, thoughtful discussions.

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