The Future of Transport: Who Will Have Control?

AI and the Future of Innovation

What happens when machines start shaping how we innovate?In the age of generative AI, this is becoming a real question. In this episode, Arvid Lunde and I discuss how generative AI is used in collaborative prototyping within real innovation settings. We explore how AI can support idea generation, knowledge transfer, and alignment between different stakeholders.We also discuss the limits of AI-supported innovation: where does responsibility sit, and in whose hands?Listen until the end to hear what Arvid would create if he had a magic wand. His answer raises a bigger question about the kind of society we want to build.

Would you Let an AI Agent Decide for You?

When people start interacting with AI less like a tool and more like a teammate, does that actually change how we think and work?We often talk about efficiency and automation, but rarely about how these systems quietly reshape our way of understanding and making decisions.In this episode, Jasmine and I discuss how AI is used in everyday work, and what it means to collaborate with these technologies. We explore different ways of working with AI tools, how to exploit the opportunities AI provides, and how to maintain responsibility. Jasmine shares a sneak peek of an AI agent she is working on for her master’s thesis project.Chapters00:00 Intro00:38 Jasmine intro01:39 AI and technology change03:41 AI innovation04:13 AI as a teammate04:30 Assimilation with AI04:44 Accommodation with AI05:02 AI fears and concerns07:30 AI awareness08:03 Social media and AI training10:06 AI in organisations12:26 AI as a cognitive partner12:42 AI agents14:03 Checking AI sources15:18 Copilot and work data16:02 Personalised AI agents17:27 Predictive maintenance17:36 AI risks and dependency18:45 Trusting AI decisions20:33 Jasmine’s advice21:44 Magic wand question24:08 ClosingsourcePark, M. J. (2026). AI as a cognitive collaborator: Assimilation and accommodation in human–machine teaming for innovation. https://doi.org/10.1016/j.jik.2025.100892

The Future of Transport: Who Will Have Control?

When algorithms start becoming part of our everyday lives, does that actually change anything for us? We often talk about technology shaping the future, but we rarely stop to think about the systems that quietly structure daily life. Transport is one of them. In this conversation, Fabian and I discuss the tension between personal freedom and safety risks. And if, like me, you struggle with preparing meals for your workday, listen until the end to hear what Fabian would create if he had a magic wand. Sources: Al-Khalili, J. (2017). What’s next?: Even scientists can’t predict the future—or can they?De Freitas, J., Zhou, X., Atzei, M., Boardman, S., & Lillo, L. D. (2025). Public perception and autonomous vehicle liability. Journal of Consumer Psychology, 35, 551–566. https://doi-org.ezproxy.ub.gu.se/10.1002/jcpy.1448International Transport Forum. (2024). Annual report 2024. https://www.itf-oecd.org/sites/default/files/docs/irtad-road-safety-annual-report-2024.pdfRaue, M., D'Ambrosio, L. A., Ward, C., Lee, C., Jacquillat, C., & Coughlin, J. F. (2019). The influence of feelings while driving regular cars on the perception and acceptance of self-driving cars. Risk Analysis, 39(2). https://doi.org/10.1111/risa.13267https://onlinelibrary-wiley-com.ezproxy.ub.gu.se/doi/epdf/10.1111/risa.13267

Transforming Education with AI

AI is reshaping education, bringing opportunities like personalized learning and improved access, but also raising ethical and equity concerns. In this episode, we explore UNESCO’s latest insights on AI in education and how to ensure it enhances learning while keeping the human essence of teaching at the center. Stay tuned for future episodes, where we’ll dive deeper into these critical topics

AI Music: Hits or Mess?

In this episode, we explore the ethical and legal challenges, the impact on creativity and originality. Sources: Drott, E. (2021). Copyright, compensation, and commons in the music AI industry. Creative Industries Journal, 14(2), 190–207. Examples of AI music generations. Medium. https://medium.com/@artturi-jalli/ai-music-generators-98575bec0e4c [https://medium.com/@artturi-jalli/ai-music-generators-98575bec0e4c] Hagendorff, T. (2020). The ethics of AI ethics: An evaluation of guidelines. Minds and Machines, 30(1), 99–120. HP. (n.d.). AI in creative industries. HP. https://www.hp.com/us-en/shop/tech-takes/ai-in-creative-industries#visual [https://www.hp.com/us-en/shop/tech-takes/ai-in-creative-industries#visual] Reje, A. (2023). Ethical risk analysis of the use of AI in music production. KTH. https://kth.diva-portal.org/smash/get/diva2:1711711/FULLTEXT01.pdf [https://kth.diva-portal.org/smash/get/diva2:1711711/FULLTEXT01.pdf]