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