Building a "Woke" AI
AI bias can lead to similar, or even worse, prejudices than humans as AI involves statistical discrimination at its core.
To eliminate this bias, we need to build a "woke" AI that is fair, impartial, and non-discriminatory.
AI bias is becoming more common as the technology applications are increasing. This bias can be attributed to the aberration in the AI programs' output due to biases in the data used for training the algorithms. Similarly, assumptions made during algorithm development can also lead to AI bias. Thus, many AI programs have been proven to discriminate against people of color, women, and other minorities.
For example, research has shown that many facial recognition systems falsely identified Asian and African-American faces ten to a hundred times more than Caucasian ones. Similarly, another research has shown that AI algorithms ignore female bodies in medical studies. The examples are endless. Such bias can lead to disastrous consequences and impact human lives to a great extent in a negative way. Thus, a need arises to build an ethical or "woke AI" that helps eliminate the AI bias.
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