Gendering AI for Climate Justice: Power, Knowledge, and Accountability is a Climate Week panel organized by the Laboratory on AI, Climate, and Society at the Lamont-Doherty Earth Observatory, Columbia University.
Drawing on a systematic review of scholarship at the intersection of AI, gender, and climate justice, this event examines two connected dimensions of AI’s impact. First, it considers AI’s material and extractive footprint: how growing demand for energy, water, land, and minerals can intensify environmental pressures that disproportionately affect women, particularly those who undertake unpaid care work and are often responsible for securing household water, food, energy, and other essential resources. Second, it explores AI’s epistemic and representational impacts: whose experiences, expertise, priorities, and forms of knowledge are included or excluded from the datasets, models, and decision-making systems that increasingly inform climate policy.
Through a feminist and intersectional lens, the discussion asks how AI-enabled climate action can reproduce inequalities across gender, race, class, geography, caste, disability, and other forms of social difference. It also identifies pathways toward a more accountable and equitable alternative, one that recognizes women not simply as “vulnerable” populations, but as knowledge holders, organizers, decision-makers, innovators, and agents of climate action.
Speakers
- Dr. Pavi, Postdoctoral Research Scientist, Columbia Climate School, Columbia University
- Dr. Marco Tedesco, Lamont Research Professor, Columbia University
Join us to explore a central question for climate and technology governance: What would it take for AI to support climate action while advancing gender justice, democratic accountability, and the knowledge and leadership of those most affected by climate change?