12 citations · 15 across the 8 of their papers we have counts for
6 papers · 1 filter
Plateau That Never Comes: When Efficiency Claims in Datacenters and AI Become Greenwashing
Harshit Gujral, Eshta Bhardwaj, Dushani Perera +2
Datacenter expansion under generative AI is increasingly framed as compatible with sustainability because of efficiency gains, cleaner electricity procurement, and improved facilit…
Evaluating Structured Documentation as a Tool for Reflexivity in Dataset Development
Eshta Bhardwaj, Ciara Zogheib, Christoph Becker
It is prominently recognized that dataset development in machine learning is a value-laden process from problem formulation to data processing, use, and reuse. Structured documenta…
Exploring the Viability of the Updated World3 Model for Examining the Impact of Computing on Planetary Boundaries
Nara Guliyeva, Eshta Bhardwaj, Christoph Becker
The influential Limits to Growth report introduced a system dynamics-based model to demonstrate global dynamics of the world's population, industry, natural resources, agriculture,…
Limits to AI Growth: The Ecological and Social Consequences of Scaling
Eshta Bhardwaj, Rohan Alexander, Christoph Becker
The accelerating development and deployment of AI technologies depend on the continued ability to scale their infrastructure. This has implied increasing amounts of monetary invest…
The State of Data Curation at NeurIPS: An Assessment of Dataset Development Practices in the Datasets and Benchmarks Track
Eshta Bhardwaj, Harshit Gujral, Siyi Wu +3
Data curation is a field with origins in librarianship and archives, whose scholarship and thinking on data issues go back centuries, if not millennia. The field of machine learnin…
Machine Learning Data Practices through a Data Curation Lens: An Evaluation Framework
Eshta Bhardwaj, Harshit Gujral, Siyi Wu +3
Studies of dataset development in machine learning call for greater attention to the data practices that make model development possible and shape its outcomes. Many argue that the…