AI-Accelerated Product Development
Algorithmic bias and fairness in Natural Language Processing
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Introduction to bias and fairness in Natural language processing
Potential Use Cases
It is very important to learn and understand harms in machine learning model to develop responsible and fair models.
Who is This For ?
NLP Data scientist from all audience levels
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to see details.
1. AI Ethics Primer
What is AI ethics ?
2. Bias in Machine learning models
What is bias and sources of bias in ML models?
3. Fairness definitions
What is fairness and various fairness definitions?
4. Type of biases and evaluating fairness in Natural Language Processing (NLP)
What is bias and fairness in Natural language processing?
What are the type of harms in NLP model?
How bias is generated in NLP?
5. Algorithmic Bias in Natural language processing models
What are type of biases and algorithmic bias?