How AI could transform financial services in emerging markets
AI can allow financial services providers to make use of alternative data sources to assess creditworthiness. This could prove transformative.
Source: techcentral.co.za
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Injecting fairness into machine-learning models
If a machine-learning model is trained using an unbalanced dataset, such as one that contains far more images of people with lighter skin than people with
Natalie Dullerud Nicolas Papernot Marzyeh Ghassemi Karsten Roth Kimia Hamidieh International Conference On Learning Representations
Source: scienceblog.com
Injecting fairness into machine-learning models
MIT researchers have found that, if a certain type of machine learning model is trained using an unbalanced dataset, the bias that it learns is impossible to fix after the fact. They developed a technique that induces fairness directly into the model, no matter how unbalanced the training dataset was, which can boost the model’s performance on downstream tasks.
Natalie Dullerud Nicolas Papernot Marzyeh Ghassemi Karsten Roth Kimia Hamidieh International Conference On Learning Representations
Source: mit.edu