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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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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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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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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Beliefism: how to stop hating the people we disagree with
Contributor(s): Professor Paul Dolan | Join us for this talk by LSE's Paul Dolan in which he will talk about his new book, Beliefism.
Do you avoid people who are strongly against immigration? Or strongly for trans rights? Against abortion? For drug legalisation? We might like to think that we're tolerant, but many of us struggle to engage with people whose opinions differ strongly from our own-even if they might have something useful to contribute to the debate. That means we're falling victim to what behavioural scientist Paul Dolan defines as Beliefism: discrimination against those with different beliefs to us. Drawing on the evidence from across the social sciences, Dolan shows how easy it is for us to divide ourselves into opposing camps - and how harmful that can be.This recording contains strong language.
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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