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Artificial Intelligence (AI) has become pervasive in our world, revolutionizing various sectors and promising further transformations in the future. However, with its increasing prevalence, it is essential to contemplate the ethical implications of using AI in decision-making.
Bias in AI systems, trained on data that may contain biases, can lead to discriminatory outcomes, particularly against certain groups of people. Ensuring accurate, complete, and unbiased data for training AI systems is crucial to mitigate this risk.
Artificial Intelligence (AI) has become pervasive in our world, revolutionizing various sectors and promising further transformations in the future. However, with its increasing prevalence, it is essential to contemplate the ethical implications of using AI in decision-making.
Bias in AI systems, trained on data that may contain biases, can lead to discriminatory outcomes, particularly against certain groups of people. Ensuring accurate, complete, and unbiased data for training AI systems is crucial to mitigate this risk.