Will AI free us from work? Image

Will AI free us from work?

28 October - 21 mins
Podcast Series LSE: Public lectures and events

Contributor(s): | Will artificial intelligence cause huge unemployment? Will it free us from working? Will it replace us? In this special edition of LSE iQ, Sophie Mallett sits down with Professor Judy Wajcman, LSE’s Emeritus Professor of Sociology and one of the world’s leading voices on technology and society. Together, they explore one of the biggest questions of our time: what does artificial intelligence really mean for the future of work?

In this wide-ranging conversation, Judy shares what really saves people time, talks about the fear of job replacement, and warns of the dangers of letting the most powerful tech companies design the future

From Silicon Valley boardrooms to everyday...

21 mins

Series Episodes

Sustainability, peace and development: in conversation with Juan Manuel Santos

Sustainability, peace and development: in conversation with Juan Manuel Santos

Contributor(s): Juan Manuel Santos, Professor Mary Kaldor, Professor Lord Stern | Join Nobel Peace Prize Laureate and LSE alumnus Juan Manuel Santos and LSE academics Mary Kaldor and Nicholas Stern in a conversation to explore how we can build a sustainable, peaceful and stable world.

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Seeing the unseen: combining data to better understand our environment

Seeing the unseen: combining data to better understand our environment

Contributor(s): Professor Claire Miller, Dr Sefi Roth | Join us as the University of Glasgow’s Claire Miller explores the statistical and data analytics approaches being developed to successfully bring different data sources together to improve environmental planning and management. We now have the potential to access more data than ever before, which can help us to explore important, complex and increasingly pressing environmental issues. However, each source of data often has its own limitations, meaning there's often missing information from an individual data source. To get a more complete picture, we can combine data from different data sources. Considerable challenges exist in integrating the data in this way as the data can be recorded at different time points and/or in different spatial locations, can be large but also have gaps, and data sources can have varying levels of uncertainty, different data structures and types.

1 hour 30 mins

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How to help left behind regions and workers

How to help left behind regions and workers

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1 hour 23 mins

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Unlocking climate action opportunities: progress amid geopolitical turbulence

Unlocking climate action opportunities: progress amid geopolitical turbulence

Contributor(s): Dr Swati Dhingra, Dr Matilde Mesnard, Dr Luiz Awazu Pereira da Silva, Chris Skidmore, Professor Lord Stern, Sharon Yang | This event will serve as a timely preview of the upcoming UN Climate Conference (COP), offering insights into where meaningful progress can be made on international climate action. It will explore the evolving landscape of global climate policy, with a particular focus on how both physical climate risks and transition-related risks are shaping the decisions of central banks, fiscal authorities, and financial regulators. Through expert discussion and cross-country perspectives, the event will reflect on the mounting challenges faced by policymakers in aligning climate objectives with broader macroeconomic and financial stability goals. While geopolitical fragmentation and economic headwinds continue to complicate the global policy environment, there remain significant opportunities to strengthen the design and implementation of monetary, fiscal, and regulatory frameworks. By identifying areas for coordinated progress, the event will highlight how both advanced and emerging economies can promote a more resilient global financial system, foster sustainable growth, and advance the just transition toward a low-carbon future even amid ongoing geopolitical turbulence.

1 hour 28 mins

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The social safety net as an investment in children

The social safety net as an investment in children

Contributor(s): Professor Hilary Hoynes | Join us for the Department of Social Policy’s Annual Lecture at which Hilary Hoynes will explore the concept of viewing the social safety net as a long-term investment in children. Traditionally, economic research has emphasised the incentive effects of tax credits and transfer programs, often neglecting their potential benefits, particularly for children. Hoynes will review a growing body of evidence showing that childhood access to programs like food stamps, the EITC, and Medicaid leads to significant improvements in health, education, earnings, and reduced criminal justice involvement in adulthood. Using cost-benefit analyses like the Marginal Value of Public Funds (MVPF), Hoynes argues these programs often pay for themselves over time. She concludes that understanding these long-term benefits is crucial to shaping effective policy and reimagining the safety net as a strategic societal investment.

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