Gender Bias in Algorithms and Data Sets

The integration of IoT (Internet of Things) and AI (Artificial Intelligence) systems often reflects the biases present in the real world, including gender biases. Women face unique challenges as these technologies can perpetuate and even amplify existing inequalities. The AI algorithms might be trained on data that underrepresents women, leading to less accurate or fair outcomes for them.

The integration of IoT (Internet of Things) and AI (Artificial Intelligence) systems often reflects the biases present in the real world, including gender biases. Women face unique challenges as these technologies can perpetuate and even amplify existing inequalities. The AI algorithms might be trained on data that underrepresents women, leading to less accurate or fair outcomes for them.

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