Archives for bias in ML research
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.
“A disproportionate amount of power lies with research teams who, after determining the research questions.” The improved methods of collecting high-quality data, coupled with advancements of machine learning models fueled a new wave of healthcare practices. From retinopathy to computer vision-based surgeries, algorithms have found their ways into critical life-saving domains. The potential is tremendous,…
The post Why Is It So Hard To Build An Ethical ML Framework For Healthcare appeared first on Analytics India Magazine.
The process of benchmarking is considered to be one of the most crucial assets for the progress of AI and machine learning research. The benchmark datasets are usually fixed sets of data, which are manually, semi-automatically as well as automatically generated to form a representative sample for these specific tasks to be solved by a…
The post Researchers Claim Inconsistent Model Performance In Most ML Research Work appeared first on Analytics India Magazine.