Today, machine learning (ML) is coming into its own, ready to serve mankind in a diverse array of applications - from highly efficient manufacturing, medicine and massive information analysis to self-driving transportation, and beyond. However, if misapplied, misused or subverted, ML holds the potential for great harm - this is the double-edged sword of machine learning.
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