Abstract
Automation has been key to Amazon's e-commerce dominance, be it inside warehouses or driving pricing decisions. The company's experimental hiring tool used artificial intelligence to give job candidates scores ranging from one to five stars - much like shoppers rate products on Amazon. In effect, Amazon's system taught itself that male candidates were preferable. It penalized resumes that included the word “women's,” as in “women's chess club captain.” And it downgraded graduates of two all-women's colleges, according to people familiar with the matter. Amazon's experiment began at a pivotal moment for the world's largest online retailer. Machine learning was gaining traction in the technology world. The American civil liberties union is currently challenging a law that allows criminal prosecution of researchers and journalists who test hiring websites' algorithms for discrimination.
Keywords
Amazon rainforestArtBiology
Related Publications
Amazonia revealed: forest degradation and loss of ecosystem goods and services in the Amazon Basin
The Amazon Basin is one of the world's most important bioregions, harboring a rich array of plant and animal species and offering a wealth of goods and services to society. For ...
Performance Analysis of High Performance Computing Applications on the Amazon Web Services Cloud
Cloud computing has seen tremendous growth, particularly for commercial web applications. The on-demand, pay-as-you-go model creates a flexible and cost-effective means to acces...
Hydrometeorology of the Amazon in ERA-40
Abstract The hydrometeorology of the Amazon basin in the ERA-40 reanalysis for 1958–2001 is compared with observations of precipitation, temperature, and streamflow. After 1979,...
Reconstructing Three Decades of Land Use and Land Cover Changes in Brazilian Biomes with Landsat Archive and Earth Engine
Brazil has a monitoring system to track annual forest conversion in the Amazon and most recently to monitor the Cerrado biome. However, there is still a gap of annual land use a...
Publication Info
- Year
- 2022
- Type
- book-chapter
- Pages
- 296-299
- Citations
- 1099
- Access
- Closed
External Links
Social Impact
Altmetric
PlumX Metrics
Social media, news, blog, policy document mentions
Citation Metrics
1099
OpenAlex
Cite This
Jeffrey Dastin
(2022).
Amazon Scraps Secret AI Recruiting Tool that Showed Bias against Women*.
Auerbach Publications eBooks
, 296-299.
https://doi.org/10.1201/9781003278290-44
Identifiers
- DOI
- 10.1201/9781003278290-44