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LSE: Public lectures and events

London School of Economics and Political Science
LSE: Public lectures and events
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  • Skills in the age of AI
    Contributor(s): Professor Mary O’Mahony, Professor Sir Christopher Pissarides | How can we shape engaging work environments that foster productivity and enable workers to flourish? Using evidence from the Pissarides Report the event will highlight the importance of not only being skilled but also feeling capable of drawing on technological advancements in the workplace.Featured image (used in source code with watermark added): Photo by fauxels via Pexels: https://www.pexels.com/photo/photo-of-people-doing-handshakes-3183197/
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    1:30:41
  • Harnessing AI: safeguarding high-integrity data for climate action
    Contributor(s): Dr Melissa Chapman, Amy Fisher, Sylvan Lutz, David McNeil, Professor Carmen Nuzzo | Artificial intelligence (AI) and machine learning (ML) are versatile technologies that have drastically lowered the cost of data production and analysis, potentially accelerating global decarbonisation and addressing socioeconomic issues. Nonetheless, concerns persist regarding their environmental impact and the risk of propagating low-quality information, especially with large language models (LLMs). Like any tool, AI can yield both positive and negative outcomes. As the demand for real-time data increases for the net-zero transition, the Transition Pathway Initiative Centre (TPI Centre) at LSE is navigating this challenge. While AI could help process the necessary data for net zero alignment, unchecked reliance on automation may lead to misinformation and greenwashing, jeopardising sound decision-making. This event will explore the TPI Centre’s pilot programme aimed at automating data collection to evaluate the net-zero progress of companies, banks, and countries. By bringing together academics, researchers, investors and businesses, we hope to foster discussions on the information essential for advancing the net-zero transition.Featured image (used in source code with watermark added): Photo by Getty Images via Unsplash: https://unsplash.com/photos/3d-rendering-of-earth-futuristic-technology-abstract-background-illustration-60_6d24hGTg
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    1:31:14
  • Big data for public good
    Contributor(s): Dr Sara Geneletti, Dr Laura Gilbert, Professor Helen Margetts | Routinely collected UK government data sets contain staggering amounts of information. The potential for the use of these data to understand how government policies are changing people’s lives, to aid better decision making and to hold government accountable for the policies they make is enormous. The process is not however all plain sailing. Good, big, and representative data sets are essential, and datasets are often far from perfect with inherent biases and missing entries. Cleaning data is time consuming and labour intensive and analysis requires skilled data scientists. These issues can be overcome or at least mitigated, and in the future government policies could be based on evidence drawn from these data and tested on model populations prior to implementation.
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    58:38
  • Visions for the future with Lila Ibrahim
    Contributor(s): Lila Ibrahim | Lila Ibrahim, Chief Operating Officer of Google DeepMind, is shaping the company's strategic operations and partnerships to drive innovation and impact. At this event, she will share her vision for the future and discuss the transformative potential of AI in the years ahead.
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    54:50
  • Putting wellbeing and mental health at the heart of progress
    Contributor(s): Professor Martin Knapp, Professor Lord Layard, Dr Laura Taylor | The panel explore how we can identify cost-effective policies to improve societal wellbeing — and why it will be key to shaping the future of the UK and beyond.
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    59:48

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Über LSE: Public lectures and events

The London School of Economics and Political Science public events podcast series is a platform for thought, ideas and lively debate where you can hear from some of the world's leading thinkers. Listen to more than 200 new episodes every year.
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