Environmental Finance: AI is essential for handling large sustainability datasets, but it needs human oversight to avoid bias, warns Matthieu Maurin, CEO of Iceberg Data Lab. While AI processes massive data, analysts are crucial for ensuring its accuracy, particularly in environmental and biodiversity assessments.
Matthieu stresses that relying solely on AI without human input is risky, as it can miss key data, especially regarding supply chain and downstream impacts, which make up 85% of nature-related emissions. He calls for transparency in data methodologies to help financial institutions make informed decisions.
Despite data gaps in emerging markets, Maurin believes current tools provide enough guidance, emphasizing that AI and human expertise together can steer investments in the right direction.
