Archives for avoid bias in data collection
Researchers at Carnegie Mellon University recently conducted an NLP study on social biases present in Bollywood and Hollywood using their AI tool. Subtitles from 700 films were gathered for each industry and analysed, representing seven decades of cultural evolution. The AI tool was trained to complete sentences after learning from the subtitles and progressed to…
The post The Persistent Problem Of Cultural Discrimination In AI Datasets appeared first on Analytics India Magazine.
Researchers at Carnegie Mellon University recently conducted an NLP study on social biases present in Bollywood and Hollywood using their AI tool. Subtitles from 700 films were gathered for each industry and analysed, representing seven decades of cultural evolution. The AI tool was trained to complete sentences after learning from the subtitles and progressed to…
The post The Persistent Problem Of Cultural Discrimination In AI Datasets appeared first on Analytics India Magazine.
Data collection is the most crucial part of machine learning models as the working of the model will completely depend on the data which we push as training as well as testing data. This follows the “Garbage In Garbage Out” method because if we push wrong data we will get the wrong output. For instance,…
The post How To Avoid Bias In Data Collection appeared first on Analytics India Magazine.