Episode 6: Inside the Top European AI Hub: What’s Driving London’s Success?

Episode 8: Steering the AI revolution

In the fourth episode of the CEPS Tech Podcast series on “the Future of Work and AI”, we explore how artificial intelligence fits into a longer history of technological change — and why institutions, organisational models, and public policy are central to shaping its impact on the future of work. Our hosts, Tom Parker and Laura Nurski, are joined by Daron Acemoglu [https://economics.mit.edu/people/faculty/daron-acemoglu], Institute Professor at MIT, Co-Director of MIT’s Shaping the Future of Work Initiative and, of course, Nobel laureate in Economics and Carlota Perez [https://carlotaperez.org/], Honorary Professor at University College London and the University of Sussex as well as Adjunct Professor of Technology and Socio-Economic Development at TalTech, Estonia.    The episode looks at how to steer the current wave of technological change, especially looking at artificial intelligence, toward more inclusive outcomes, by analysing past tech revolutions, looking at the role of institutions in guiding AI in the public interested as well as the role of organisations in managing the technology and adapting their way of work to the technology.   We discuss:  * Why AI matters – but isn’t the whole story  * How institutions steer the direction and distribution of innovation  * The often-overlooked role of management models in shaping work and inequality  * Whether organisational design should be treated as a public concern  This conversation connects the dots between past and future, theory and policy — and asks what kind of state we need to make the most of the AI era.  For further reading on CEPS’ and Laura Nurski’s research on other interesting Future of Work and AI topics follow this link [https://www.ceps.eu/ceps-publications/?filter_topics=16]. ---------------------------------------- Hosted on Acast. See acast.com/privacy [https://acast.com/privacy] for more information.

Episode 7: Lightning speed developments in generative AI: does the ecosystem benefit from centralisation or independence?

In this fourth episode of the CEPS Tech Podcast series on AI, we will take a look at the rapid advancements in generative AI that have continuously shaken the AI landscape over the past years. We will explore the consequences of such developments. What are the barriers to European innovation in AI? In the absence of new scientific breakthroughs, will Generative AI ever be trustworthy? We talk of the existing lack of investment in European tech companies. How Generative AI does not tick any of the trustworthiness boxes as defined by the High-Level Expert Group on AI. And does Europe need a “CERN for AI” to propel scientific research, innovation and growth?  Our host, Tom Parker, is joined once again by co-host Andrea Renda [https://www.ceps.eu/ceps-staff/andrea-renda/], Director of Research at CEPS and a leading expert in AI governance and policy, and Robert Praas [https://www.ceps.eu/ceps-staff/robert-praas/], data scientist at CEPS with extensive research on generative AI. Together, they engage with two distinguished guests: Dorothy Chou [https://deepmind.google/], Director of Policy & Public Engagement at Google DeepMind, who shares her insights on AI investment, policy, and Europe’s competitive positioning. And Sabine Demey [https://www.flandersairesearch.be/en], Director of the Flanders AI Research Program, who provides valuable perspectives on European AI research collaboration and sectoral innovation.  ---------------------------------------- Hosted on Acast. See acast.com/privacy [https://acast.com/privacy] for more information.

Episode 6: Inside the Top European AI Hub: What’s Driving London’s Success?

In this third episode of the CEPS Tech Podcast’s special AI series, we take a deep dive into one of Europe’s most dynamic AI hubs—London. As AI continues to shape industries and economies, what makes London stand out as the number one AI hub in Europe? What role do leading institutions like Imperial College and CEPS play in fostering innovation, and how can Europe build stronger AI collaborations across borders?   Our host Tom Parker is joined by co-hosts Andrea Renda, Director of Research at CEPS and an expert on AI governance, and Pete Ford, Programme Manager at the Imperial Policy Forum. Together, they explore these questions with two distinguished guests. Alessandra Russo, Head of the Department of Computing at Imperial College and Co-Director of the School of Convergent Science, sheds light on Imperial’s AI initiatives, including ImperialX — a flagship research and innovation hub at the intersection of AI, data science, and digital technologies. Georgina Denis is the CEO and co-founder of Psi (People Supported Intelligence), an emerging intelligence-gathering platform that analyses voice discussions to generate data and actionable insights. She offers a fresh perspective on the power of AI-enabled collective intelligence and the potential of human-AI collaboration in decision-making and governance.   Together, they discuss London’s role as a driving force in European AI, the need for stronger research cooperation across the continent, and the potential for a “CERN for AI” to boost Europe’s AI capabilities. They also explore the importance of bridging AI talent gaps and fostering an innovation ecosystem that can compete globally.      For more insights into CEPS’ research on AI, visit this link [https://www.ceps.eu/ceps-publications/?filter_topics=16].   To learn more about Imperial-X, explore this link [https://ix.imperial.ac.uk/].   To learn more about Imperial and Alessandra Russo’s work, visits this link [https://www.imperial.ac.uk/]   For more information on Psi and Georgina Denis’ work, check out this link [https://psi.tech/].   ---------------------------------------- Hosted on Acast. See acast.com/privacy [https://acast.com/privacy] for more information.

Episode 5: Can AI rebuild middle-class jobs?

In the third episode of the CEPS Tech Podcast series on “the Future of Work and AI”, we delve into the transformative impact of AI on the labour market and job structures. Our hosts, Tom Parker and Laura Nurski, are joined by David Autor, Professor of Economics at MIT, and Sabine Köszegi, Professor of Labor Science and Organization at TU Vienna. Together, they explore how AI’s learning capabilities distinguish it from traditional computing and its potential to reshape middle-skilled jobs.  The episode highlights the evolving nature of expertise as AI takes on new tasks, the risks of de-skilling, and the essential role of human-AI collaboration. The discussion also addresses policy recommendations aimed at ensuring the widespread benefits of AI, with a focus on enhancing digital literacy and redesigning jobs to counter the challenges posed by automation. They explore how, with careful design, AI can expand access to skilled work and foster a more inclusive labour market.    For further reading on CEPS’ and Laura Nurski’s research on other interesting Future of Work and AI topics follow this link [https://www.ceps.eu/ceps-publications/?filter_topics=16].  ---------------------------------------- Hosted on Acast. See acast.com/privacy [https://acast.com/privacy] for more information.

Episode 4: Future skills for a competitive EU

In this second episode of the CEPS Tech Podcast series on “the Future of Work and AI” we are exploring the relationship between skills and competitiveness in Europe. We look at different strategies for competitiveness, such as operational excellence, product leadership, and customer intimacy, and how they require different types of skills. Furthermore, we closely look at the impact of AI on skill demand and how this is transformation the operations and strategies of companies. Finally, we discuss the importance of regional skills intelligence in building future-ready workforces.  Our host Tom Parker is joined by co-host Laura Nurski, [https://www.ceps.eu/ceps-staff/laura-nurski/] Associate Research Fellow and Head of Programme on Future of Work at CEPS [https://www.ceps.eu/ceps-publications/?filter_topics=16]. Joining them both to help unpack this topic are Cinzia Alcidi [https://www.ceps.eu/ceps-staff/cinzia-alcidi/], Senior Research Fellow at CEPS and the Head of the Economic Policy and Jobs & Skills unit at CEPS and Mauro Pelucchi [https://www.linkedin.com/in/mauropelucchi/] who is the Head of Global Data Science at Lightcast, a global leader in Labour Market Analytics in Europe.  For further reading on CEPS’ and Laura Nurskis’s research on other interesting Future of Work and AI topics follow this link [https://www.ceps.eu/ceps-publications/?filter_topics=16].  For more information on Lightcast, their organisation and the work they do, please have a look here [https://lightcast.io/euro].     ---------------------------------------- Hosted on Acast. See acast.com/privacy [https://acast.com/privacy] for more information.