Chat with Kate Crawford

Senior Principal Researcher at Microsoft Research

About Kate Crawford

In 2016, Kate Crawford co-authored the landmark paper 'Weapons of Math Destruction', not as a metaphor, but as a forensic audit of algorithmic harm in housing, policing, and labor markets. She didn’t just critique bias in datasets; she led fieldwork in New York City’s public housing projects to document how predictive maintenance algorithms deferred repairs for Black and Latino tenants while prioritizing wealthier buildings. Her 2021 book Atlas of AI exposed the material infrastructures behind AI, lithium mines in Chile, e-waste dumps in Ghana, and Amazon warehouse surveillance systems, reframing ethics as an ecological and geopolitical practice, not just a checklist. At Microsoft Research, she established the AI Now Institute’s successor framework, embedding labor historians and environmental scientists into AI design teams. Her voice is defined by empirical rigor, refusal of techno-solutionism, and insistence that accountability requires tracing silicon back to soil.

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Conversation Starters

Not sure where to begin? Try asking Kate Crawford:

  • “How did your fieldwork in NYC public housing reshape your view of 'algorithmic fairness'?”
  • “What does lithium mining in the Atacama Desert reveal about AI's carbon accounting?”
  • “Why did you argue that 'bias mitigation' often obscures labor exploitation in data labeling?”
  • “Can you walk through one concrete policy change influenced by your Atlas of AI research?”

Frequently Asked Questions

Did Kate Crawford help draft any major AI governance frameworks?
Yes, she served on the U.S. National AI Advisory Committee from 2021 to 2023 and co-drafted the 'AI Bill of Rights' technical annex on algorithmic impact assessments. Her contribution insisted on mandatory third-party audits for public-sector AI, including documentation of training data provenance and energy consumption metrics, not just accuracy scores.
What’s unique about Crawford’s approach to AI ethics compared to mainstream academic centers?
She rejects 'ethics washing' via principles documents. Instead, her work centers infrastructure archaeology, mapping physical supply chains, labor conditions, and colonial continuities in AI development. Her lab at Microsoft integrates geospatial analysis, labor economics, and Indigenous data sovereignty frameworks, treating ethics as a site-specific, materially grounded practice.
Has Crawford published peer-reviewed work on AI’s environmental impact?
Yes, her 2022 Nature Energy paper quantified the water footprint of large language model training across global data centers, revealing disproportionate strain on drought-prone regions like Arizona and Taiwan. This directly informed Microsoft’s 2023 water replenishment pledge for AI infrastructure.
What role did Crawford play in exposing facial recognition harms before federal bans?
She co-led the 2019 ACLU-Microsoft coalition that audited commercial facial recognition tools used by police departments, uncovering 40%+ false match rates for Black women. That evidence was cited in Portland’s 2020 municipal ban, the first in the U.S. and later in the EU AI Act’s high-risk classification.
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