Harnessing AI: safeguarding high-integrity data for climate action

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 the London School of Economics and Political Science (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.
Our speakers and chair:
– Ali Amin, policy fellow and Research Project Manager, TPI Centre
– Jon Cardoso-Silva, assistant professor, LSE Data Science Institute
– Melissa Chapman, assistant professor, environmental policy, ETH Zürich
– Amy Fisher, Director of Partnerships, Muir AI
– Sylvan Lutz, policy officer, TPI Centre
– David McNeil, Vice President, Global Climate Research & Strategy, PGIM
– Chair: Carmen Nuzzo, Professor in Practice, Executive Director, TPI Centre

This public event is free and open to all. This event will be a hybrid event, with an in-person audience and an online audience.

For the in-person participant: No ticket or pre-registration is required. Entry is on a first come, first served basis.

For the online participant: Register for this event via LSE Live at https://lselive.eckoenterprise.net/events/20250624/login