Detecting & Minimizing Bias From The Reading Curriculum of a Large US Publisher - Magic EdTech
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Detecting & Minimizing Bias From The Reading Curriculum of a Large US Publisher

100+

Books Evaluated

200+

BIAS instances eliminated

BIAS

Business Need

The client is a leading K12 publisher. They pride themselves on staying ahead of the market when it comes to creating cutting-edge digital learning products.

They wanted to ensure that their content embraces the spirit of diversity and inclusivity. One of the key elements involved in that was ensuring that the content is free of biases, ableist language, or any other prejudices that could impact their learner’s sentiment and not reflect their intent correctly

They wanted to ensure that every learner can see themselves in what they read and relate to their content.

Key Outcomes

  • A detailed report highlighting Issues with regards to implicit and explicit bias
  • Using technology to ensure that human eyes don’t miss out on important information
  • Recommendations to improve their content and make it diverse and inclusive

 

Our Approach

  • Set up our bias detection tool and customized it to match the client’s content type and expected outcomes.
  • Created initial use cases that helped improve the bias detection algorithms.
  • Evaluated the result to weed out inaccuracies, added our recommendations, and share the final outcomes with the client.
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