Consequences of Algorithmic Bias: From Inequality to Harm #shorts

AI is only as unbiased as the data it is trained on, and human biases can easily be unintentionally encoded into AI systems. This can lead to algorithmic bias, where AI systems unfairly discriminate against certain groups.

The consequences of such bias can range from perpetuating existing societal inequalities to outright harm to individuals. It is important to address human bias in AI and strive for fairness, diversity, and ethics in the development and deployment of AI systems. Failure to do so could result in unintended and potentially dangerous consequences.

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