Questions tagged [algorithmic-bias]

For questions related to the concept of algorithmic bias, which is the bias that algorithms exhibit, such as privileging one arbitrary group of users over others. Algorithmic bias can emerge due to many factors, including but not limited to the design of the algorithm itself, unintended or unanticipated use or decisions relating to the way data is coded, collected, selected or used to train the algorithm.

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4
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0answers
76 views

Forcing a neural network to be close to a previous model - Regularization through given model

I'm wondering, has anyone seen any paper where one trains a network but biases it to produce similar outputs to a given model (such as one given from expert opinion or it being a previously trained ...
3
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1answer
114 views

How do I keep my system (online) learning if I can get ground truth labels only for examples flagged positive?

I have a binary classifier (think of it as a content moderation system) that is deployed after having being trained via batch learning. Once deployed, humans review and check for correctness only ...
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0answers
30 views

What do the authors of this paper mean by the bias term in this picture of a neural network implementation?

I am reading a paper implementing a deep deterministic policy gradient algorithm for portfolio management. My question is about a specific neural network implementation they depict in this picture (...
3
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1answer
46 views

How to add weights to one specific input feature to ensure fair training in the network?

I am trying to create a multiclass product-rating network based on product reviews and other input features. Two of the other input features are "product category" and "gender". However, I want to ...
2
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0answers
32 views

Possible approaches to dealing with unbalanced dataset and highly biased deep learning algorithm

I have an extremely unbalanced video dataset for a two class video classification problem.All my videos in my current video dataset is $40$ second long with $900p$ resolution.However the dataset is ...
3
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1answer
86 views

What needs to be done to make a fair algorithm?

What needs to be done to make a fair algorithm (supervised and unsupervised)? In this context, there is no consensus on the definition of fairness, so you can use the definition you find most ...
5
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3answers
107 views

Preventing bias by not providing irrelevant data

This seems like such a simple idea, but I've never heard anyone that has addressed it, and a quick Google revealed nothing, so here it goes. The way I learned about machine learning is that it ...
8
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3answers
287 views

How is it that AI can become biased, and what are the proposals to mitigate this?

This is not meant to be negative or a joke but rather looking for a productive solution on AI development, engineering and its impact on human life: Lately with my Google searches, the AI model keeps ...
6
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2answers
153 views

Is algorithmic bias due to the training dataset used?

I recently read about algorithmic bias in facial recognition. Is algorithmic bias due to the training dataset used, or is it due to something else?