Tackling "AI against sustainability"
2026-06-22 • Computers and Society
Computers and Society
AI summaryⓘ
The authors point out that current talks about AI and the environment usually focus on either how AI itself affects the planet or how AI can help with environmental problems. They highlight a missing discussion about how using AI in certain ways, like in fossil fuel industries or targeted ads, can actually harm the environment. To fix this, the authors suggest better rules, companies taking responsibility, and open conversations among everyone involved. They believe understanding AI's impact needs teamwork and looking at the big picture, not just separate parts.
Artificial IntelligenceSustainabilityEnvironmental ImpactFossil FuelsRegulationIndustry ResponsibilityStakeholder DialogueAI ApplicationSystemic Impact
Authors
Stefanie Kunkel, Malcolm Campbell-Verduyn, Simon Driscoll, Silke Niehoff, Gabrielle Samuel
Abstract
Current debates on AI and sustainability are dichotomised, tending to focus on either the environmental impact of AI systems themselves ("sustainability of AI") or AI's potential for environmental benefit ("AI for sustainability"). This perspective highlights a crucial gap: "AI against sustainability" - the negative environmental consequences stemming from the application of AI technologies. While AI can offer solutions, its use in sectors like fossil fuel extraction or targeted advertising can exacerbate environmental harms, often overlooked in existing discussions. We argue for a systemic understanding of these impacts, distinguishing between AI as an object and its application, and propose a three-pronged approach to tackle "AI against sustainability" by (a) strengthened regulation, (b) proactive self-commitment by industry, and (c) constructive dialogue among stakeholders. Addressing the blind spots of "AI against sustainability" requires moving beyond isolated actions and fostering collaboration across disciplines to ensure truly more sustainable AI.