There is a significant knowledge gap about the AI supply chain and its socio-environmental impacts.

The AI supply chain remains poorly understood, with limited awareness of its full lifecycle—from resource extraction to disposal—and the socio-environmental harms embedded within it. This lack of transparency prevents informed decision-making and collective action toward accountability.

Communities affected by resource extraction for AI systems are excluded from decisions that affect their lives.

The communities most impacted by AI’s resource extraction, manufacturing, and waste are systematically marginalized in governance processes, leaving their voices unheard and their rights unprotected in the development and regulation of AI systems.

Policy frameworks on AI ethics ignore environmental justice and more-than-human perspectives.

Existing AI governance models fail to integrate principles of environmental and social justice, perpetuating structural inequities and ecological harm while prioritizing market growth and technological innovation.

The planetary justice impacts of AI systems are invisible and unmeasured.

There are no standardized frameworks or methodologies to evaluate the environmental and social costs of AI systems. This invisibility enables harmful practices and shields corporations and governments from accountability.

Dominant AI narratives prioritize growth and techno-solutionism.

Prevailing narratives about AI focus on growth, innovation, and techno-solutionism, often ignoring the relational and justice-centered perspectives that are essential to addressing its ecological and social impacts.

• Conduct interdisciplinary research to map the AI supply chain and its socio-environmental impacts.

• Publish accessible reports and visual tools that illuminate the lifecycle of AI systems.

• Host educational campaigns to raise awareness among policymakers, researchers, and the general public.

• Partner with local organizations to amplify the lived experiences of affected communities.

• Facilitate participatory workshops and storytelling initiatives to center community voices.

• Advocate for inclusive governance practices that prioritize community consent and input.

• Conceptualize a planetary justice approach to AI.

• Develop policy briefs advocating for planetary justice-centered approaches to AI governance.

• Conduct campaigns reframing AI governance to include planetary justice.

• Develop the AI Supply Chain Impact Framework to assess socio-environmental costs across the AI lifecycle.

• Pilot the framework with real-world data to ensure feasibility and impact.

• Publish and share the framework for adoption by businesses, regulators, and researchers.

• Produce accessible media (blogs, podcasts, zines) critiquing techno-solutionism and advocating for relational, justice-based perspectives.

• Collaborate with artists and activists to create multimedia projects reframing AI narratives.

• Host public dialogues and events to foster critical conversations about AI and planetary justice.