(Practical) AI ethics
Briefly

Bias is intrinsic to machine learning models, requiring a focus on managing acceptable biases rather than eliminating them entirely. Team diversity and culture are crucial for ethical AI development.
Developer biases can influence the training process of AI systems, impacting performance and creating blind spots in the model.
Read at towardsdatascience.com
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