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MIT Initiative on the Digital Economy – Medium

Unmasking the Bias in Facial Recognition Algorithms | by MIT IDE | MIT Initiative on the Digital Economy | Jan, 2024

MIT IDE

2024-01-02 23:43:13

Full article at: Source link

Summary

Machine learning models are influenced by biased data, as seen in the case of Amazon’s hiring model that discriminated against women. Data reflects societal biases, leading to power shadows in datasets, favoring lighter-skinned individuals and men. Power shadows must be acknowledged and addressed in the development of technology to avoid perpetuating existing social hierarchies.

Key Themes

1. Amazon Hiring Example: Biased data in machine learning models.
2. Skewed Data: Representation issues in datasets.
3. Colonialism and Colorism: Impact of historical injustices on data biases.

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