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Machine Learning
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- Despite its remarkable potential, machine learning is not without its challenges and ethical considerations. Bias in data, algorithmic transparency, and privacy concerns are among the issues that researchers and policymakers grapple with. Biased data can lead to unfair outcomes, while opaque algorithms raise questions about accountability and trust. Moreover, the vast amounts of data required to train machine learning models raise concerns about privacy and data security, highlighting the need for robust regulations and ethical frameworks to govern their use.
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"Why should there be hunger and deprivation in any land, in any city, at any table, when man has the resources and the scientific know-how to provide all mankind with the basic necessities of life?"
~Martin Luther King, Jr.
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