Imposing AI: Deceptive design patterns against sustainability
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Abstract (arXiv)
Generative AI is being massively deployed in digital services, at a scale that will result in significant environmental harm. We document how tech companies are transforming established user interfaces to impose AI use and show how and to what extent these strategies fit within established deceptive pattern categories. We identify two main design strategies that are implemented to impose AI use in both personal and professional contexts: imposing AI features in interfaces at the expense of existing non-AI features and promoting narratives about AI that make it harder to resist using it. We discuss opportunities for regulating the imposed adoption of AI features, which would inevitably lead to negative environmental effects.
Key facts. Cited by 2 papers in the map (data through 14 Oct 2026). Builds on 11 of its 47 references that are in the map. First posted on arXiv 12 Aug 2025.
Builds on
11 of 47 references.
References · 11
- 2022Estimating the Carbon Footprint of BLOOM, a 176B Parameter Language Modelcited by 265
- 2023Power Hungry Processing: Watts Driving the Cost of AI Deployment?cited by 191
- 2024Hype, Sustainability, and the Price of the Bigger-is-Better Paradigm in AIcited by 35
- 2025From Efficiency Gains to Rebound Effects: The Problem of Jevons' Paradox in AI's Polarized Environmental Debatecited by 23
- 2024The Social Impact of Generative AI: An Analysis on ChatGPTcited by 18
- 2021What Makes a Dark Pattern... Dark? Design Attributes, Normative Considerations, and Measurement Methodscited by 15
- 2023An Ontology of Dark Patterns Knowledge: Foundations, Definitions, and a Pathway for Shared Knowledge-Buildingcited by 14
- 2024Characterizing and modeling harms from interactions with design patterns in AI interfacescited by 11
- 2024Watching the Generative AI Hype Bubble Deflatecited by 8
- 2024AI, Climate, and Transparency: Operationalizing and Improving the AI Actcited by 4
- 2024How Green Can AI Be? A Study of Trends in Machine Learning Environmental Impactscited by 2
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Citing papers per year: 2026: 2.
2 papers.