Work

Enabling people-centric climate action using human-in-the-loop artificial intelligence: a review

Year: 2025

Type: review

Abstract: Climate action includes a variety of efforts to address climate change and its impacts. The achievement of collective agreement by the public to engage in climate actions presents complexity, as it is influenced by political, ideological, and economic factors and faces resistance from powerful industries . With the progression of digitalisation , large amounts of user-generated data are available, opening new pathways to understand human behaviour in relation to climate action using artificial intelligence (AI). Integrating human knowledge and perception into AI systems via human-in-the-loop (HITL) frameworks can improve contextualised decision-making while mitigating biases. This review explores how HITL design can support AI for climate action at both micro- and macro-scale, especially synthesising instances where HITL systems provide a pathway for ethical alignment, integrating diverse human perspectives to ensure that AI-driven climate solutions respect cultural and social values.

Source: Current Opinion in Behavioral Sciences

DOI: 10.1016/j.cobeha.2025.101482

Authors: Ramit Debnath, Nataliya Tkachenko, Malay Bhattacharyya

Institutions: California Institute of Technology, University of Cambridge, Indian Statistical Institute, Lloyds Banking Group (United Kingdom)

Language: English

Topic: Ethics and Social Impacts of AI

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

SDG: Climate action

Open Access status: hybrid

Estimated APC paid: $4,360