we're reducing ai social bias

and the research that's being done right now

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Weekly College
July 02, 2024

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New Training Technique Reduces AI Social Bias

Researchers at Oregon State University and Adobe have developed a new, cost-effective training technique for AI systems, named FairDeDup, to reduce social biases. Led by doctoral student Eric Slyman, the method focuses on deduplication, or removing redundant information from training data, which often contains societal biases. By incorporating fairness considerations, FairDeDup helps mitigate these biases and enables more accurate and fair AI training. Slyman presented the algorithm at the IEEE/CVF Conference on Computer Vision and Pattern Recognition, emphasizing its potential to create socially just AI systems without imposing a fixed notion of fairness.(See More)

Could Another Earthquake Alter the Ganges' Course?

A major earthquake 2,500 years ago caused one of the largest rivers on Earth to abruptly change course, according to a new study. The previously undocumented quake rerouted the main channel of the Ganges River in what is now densely populated Bangladesh, which remains vulnerable to big quakes.(See More)

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