The Week in Green Software: Obscuring AI's Real Carbon Footprint

Environment Variables

Host Chris Adams is joined by Asim Hussain to dive into The Week in Green Software, exploring the environmental impacts of artificial intelligence and how the growing adoption of AI technology affects carbon emissions, as well as the growing complexities in the measurement and reduction of these. They discuss a primer on AI's direct environmental footprint, regulatory trends in Europe and the US, and the complexities surrounding the renewable energy credits tech companies use to offset emissions. The conversation touches on real-time cloud data initiatives, carbon accounting in AI, and the future challenges of balancing sustainability with technological innovation.

Learn more about our people:

  • Chris Adams: LinkedIn | GitHub | Website
  • Asim Hussain: LinkedIn | Website

Find out more about the GSF:
  • The Green Software Foundation Website 
  • Sign up to the Green Software Foundation Newsletter

News:
  • The Environmental Impacts of AI -- Primer | Hugging Face[03:12]
  • How Tech Companies Are Obscuring AI's Real Carbon Footprint | Bloomberg [22:25]
  • AI analysed 1,500 policies to cut emissions. These ones worked | Nature [32:48] 

Events:
  • Green IO Conference 2024 London Dates and City Locations - Sustainable Tech Partner for Green IT Service Providers 

Resources:
  • Does the EU AI Act really call for tracking inference as well as training in AI models? | Chris Adams [12:21]
  • Simon Willison on openai [14:15]
  • EnergyStarAI (AI Energy Star Project) | Hugging Face [16:12]
  • Meta-Llama-3.1-8B-Instruct · Hugging Face [21:28]
  • Jevons paradox and greening software—why increasing efficiency makes sense | ASIM.DEV [21:51]
  • Olivier Corradi [27:43]
  • Real-Time Cloud | GSF [28:41]
  • GitHub - Green-Software-Foundation/real-time-cloud
  • Reviewing the evidence we accept for Green hosting verification | Green Web Foundation [31:06] 
  • The Week in Green Software: Modeling Carbon Aware Software | TWiGS with Iegor Riepin [37:18] 

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