2

Biases in Data Augmentation

As artificial intelligence (AI) becomes embedded in our society, biases in AI systems will adversely affect your quality of life. These AI systems, particularly in deep learning (DL) and generative AI, depend on the input data you are using to extend data augmentation.

AI systems rely heavily on data to make decisions, and if the data used to train the system is biased, then the AI system will make unfair decisions. It will lead to the unjust treatment of individuals or groups and perpetuate systemic inequalities. AI plays a decisive role in life-changing decisions, such as how much your monthly mortgage insurance rate is, whether you can be approved for a car loan, your application qualification for a job, who ...

Get Data Augmentation with Python now with the O’Reilly learning platform.

O’Reilly members experience books, live events, courses curated by job role, and more from O’Reilly and nearly 200 top publishers.