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Machine Learning
Fair Bytes
A Medium publication sharing byte-sized stories about research, resources, and issues related to fairness & ethics of AI
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Machine Learning
Catherine Yeo
in
Fair Bytes
Oct 26, 2021
Interview: Robot Ethics & Design with Shalaleh Rismani
How can we better design responsible AI and…
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28
Tanishq Sandhu
in
Fair Bytes
Jun 29, 2021
The Increasing Gap between AI Innovation and AI Ethics: Facial Recognition
Mapping out the facial…
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102
Tanishq Sandhu
in
Fair Bytes
Mar 29, 2021
StereoSet: Combatting Inherently Biased Linguistic Models
Exploring a dataset that measures bias in AI…
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76
Pradyumna Shome
in
Fair Bytes
Sep 20, 2020
Adversarial Machine Learning: An Overview
An exposition of the latest and greatest ways people have…
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105
Catherine Yeo
in
Fair Bytes
Aug 13, 2020
Explaining Machine Learning Predictions and Building Trust with LIME
A technique to explain how…
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215
1 response
Catherine Yeo
in
Fair Bytes
Jul 1, 2020
We Need to Change How Image Datasets are Curated
Why many gold-standard computer vision datasets, such…
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150
1 response
Catherine Yeo
in
Fair Bytes
Jun 24, 2020
Reading
List for Fairness in AI Topics
Papers, books, and resources to learn about fairness in vision…
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249
Catherine Yeo
in
Fair Bytes
Jun 17, 2020
New Way to Measure Crowdsourcing Bias in Machine Learning
An overview of how to use counterfactual…
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128
1 response
Catherine Yeo
in
Fair Bytes
Jun 3, 2020
How Biased is GPT-3?
Despite its impressive performance, the world’s newest language model reflects…
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161
2 responses
Catherine Yeo
in
Fair Bytes
May 20, 2020
What is Transparency in AI?
What does it mean for a machine learning algorithm to be “transparent”?
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106