The Impact of Bias in Algorithmic Decision-Making

Biases in AI algorithms can have far-reaching consequences, especially when used in critical areas like healthcare, criminal justice, and employment. These biases can perpetuate inequality and injustice, disproportionately affecting marginalized communities. Recognizing and addressing the biases embedded in AI systems is essential for reducing their negative impact on society.

Biases in AI algorithms can have far-reaching consequences, especially when used in critical areas like healthcare, criminal justice, and employment. These biases can perpetuate inequality and injustice, disproportionately affecting marginalized communities. Recognizing and addressing the biases embedded in AI systems is essential for reducing their negative impact on society.

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