Reframing AI governance through a political economy lens

Report an error

Summary

AI-generated

This summary is written by a language model reading the source document. It is not the publisher's words and is not a substitute for the original.

Learn more about AI enrichment

The paper critiques the current AI landscape, highlighting the dominance of 'Big Tech' and the 'bipolar geo-economic context' of the US and China. It argues that 'Responsible AI' frameworks often serve as a means for powerful actors to 'diffuse accountability'. The author proposes a 'supra-liberal framework' for governance, the creation of an 'AI commons' to democratize resources, and the integration of sustainability considerations to mitigate AI's 'massive carbon footprint'.

Key insights

AI-generated

These insights are written by a language model reading the source document. They are not the publisher's words and are not a substitute for the original.

Learn more about AI enrichment
  • Big Tech companies exercise significant 'infrastructural and narrative power' over the AI sector, allowing them to control access, shape policy discourse, and influence rulemaking.
  • Countries in the Global South face structural barriers to AI sovereignty due to a 'bipolar geo-economic context' dominated by American and Chinese infrastructure, creating dependencies in talent, intellectual property, and debt.
  • The 'Responsible AI' discourse is criticized for being co-opted by powerful entities to avoid liability and ignore systemic harms to people and ecosystems, reducing the concept to 'product safety' considerations.
  • AI development is contributing to the environmental crisis through high energy and water consumption; for example, training GPT-3 required water equivalent to filling a nuclear reactor cooling tower.
  • The document identifies a 'culture of impunity' where AI models are deployed rapidly without adequate risk assessment, often shifting the burden of error onto frontline workers while defending the technical prowess of the models.
  • To democratize AI, the author proposes an 'AI commons' approach, including a global center for AI innovation modeled after CERN and the reform of intellectual property regimes to prevent 'data extractivism'.

Cite the original document

APA
Rowley, S. (2024). Reframing AI governance through a political economy lens. World Association for Christian Communication. https://waccglobal.org/reframing-ai-governance-through-a-political-economy-lens/
Chicago
Rowley, Saskia. Reframing AI governance through a political economy lens. World Association for Christian Communication, 2024. https://waccglobal.org/reframing-ai-governance-through-a-political-economy-lens/.
Wikipedia
{{cite report |last1=Rowley |first1=Saskia |title=Reframing AI governance through a political economy lens |publisher=World Association for Christian Communication |date=26 February 2024 |url=https://waccglobal.org/reframing-ai-governance-through-a-political-economy-lens/ |access-date=23 October 2026 |via=Climate Insights Directory}}
BibTeX
@techreport{rowley2024reframing, author = {Rowley, Saskia}, title = {{Reframing AI governance through a political economy lens}}, institution = {World Association for Christian Communication}, year = {2024}, month = feb, url = {https://waccglobal.org/reframing-ai-governance-through-a-political-economy-lens/}, urldate = {2026-10-23}, note = {Indexed by Climate Insights Directory} }

Full text

Collected · Record updated