Answers.Body: <p>For all intents and purposes, the neural networks are not protected against bias dataset unless the dataset is explicitly curated wrt to an arbitrary bias.</p>
  <p>This is very much an open problem and a busy research area with many researchers attempting to address this problem in <a href="https://www.sciencedirect.com/science/article/pii/S0933365701000926" rel="nofollow noreferrer">academic</a> and <a href="https://www.theverge.com/2016/3/24/11297050/tay-microsoft-chatbot-racist" rel="nofollow noreferrer">production</a> environments.</p>
  <p>Some of the work on solving this is specific circumstances involves weighting certain data differently and utilizing statistical techniques to otherwise counteract the biases.</p>
  
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Answers.CreationDate: 2022-07-24T22:32:24.883Z
Answers.LastActivityDate: 2022-07-24T22:32:24.883Z
Answers.UserDisplayName: hisairnessag3
Body: <p>Suppose the training data there exist an element of some data being misleading and some being right, how could the Neural network be trained so that it could filter the right data from the wrong one?</p>
  <p>Excuse me if this question is written as a bit non technically my knowledge is not that high of this topic.</p>
  
Comments.ContentLicense: CC BY-SA 4.0
Comments.CreationDate: 2022-07-25T00:37:03.877Z
Comments.Text: Please edit the question to limit it to a specific problem with enough detail to identify an adequate answer.
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Tags: <neural-networks><machine-learning>
Title: How are Neural Networks protected from false training data?
UserDisplayName: Brian
ThreadText: # How are Neural Networks protected from false training data?
  
  (Asked by: username_0 on 2022-07-24)
  
  Suppose the training data there exist an element of some data being misleading and some being right, how could the Neural network be trained so that it could filter the right data from the wrong one?
  
  Excuse me if this question is written as a bit non technically my knowledge is not that high of this topic.
  
  **Tags:** neural-networks, machine-learning
  > **Comments:**
  > **username_1**: Please edit the question to limit it to a specific problem with enough detail to identify an adequate answer.  
  
  ---
  
  ## 1 answers
  
  ### Answer by username_2 on 2022-07-24. Score: 1 | Accepted answer
  
  For all intents and purposes, the neural networks are not protected against bias dataset unless the dataset is explicitly curated wrt to an arbitrary bias.
  
  This is very much an open problem and a busy research area with many researchers attempting to address this problem in [academic](https://www.sciencedirect.com/science/article/pii/S0933365701000926) and [production](https://www.theverge.com/2016/3/24/11297050/tay-microsoft-chatbot-racist) environments.
  
  Some of the work on solving this is specific circumstances involves weighting certain data differently and utilizing statistical techniques to otherwise counteract the biases.
  
  
  ---
  
  