Summary of Ethics & AI: Equal Access and Algorithmic Bias

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The potential for AI to help society is enormous, but we need to be aware of the risks involved. Machine learning depends on the information that is fed to it, and real world data often contains information that was not intended to be included. If we are building AI to determine who gets a home loan, for example, or who should be charged with a crime, it could potentially bubble up racial biases that already exist in our society.

• 00:00:00 The potential for AI to help society is enormous, but we need to be aware of the risks involved. Machine learning depends on the information that is fed to it, and real world data often contains information that was not intended to be included. If we are building AI to determine who gets a home loan, for example, or who should be charged with a crime, it could potentially bubble up racial biases that already exist in our society. We need to make sure that the voices of those who are most impacted by AI are heard, and that we have a diverse range of perspectives when it comes to developing AI.