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AI ethics is a set of values, principles, and techniques that employ widely accepted standards of right and wrong to guide moral conduct in the development and use of AI technologies. In machine learning and AI, any given algorithm is said to be fair, or to have fairness, if its results are independent of given variables, especially those considered sensitive. The research about Fair ML Algorithms and ToolKits shows that it can detect and mitigate bias and yield fair outcomes for both text and visual data. In this blog, we primarily discuss the open-source toolkits and algorithms that can help us to design Fair AI solutions.