What are the ethical considerations of using machine learning in cloud computing?
There are several ethical considerations, including data privacy, algorithmic bias, and transparency in decision-making.
Can you elaborate on data privacy concerns?
Sure! Data privacy concerns arise when sensitive information is stored and processed in the cloud, potentially exposing it to unauthorized access.
What about algorithmic bias?
Algorithmic bias occurs when machine learning models produce unfair outcomes due to biased training data, which can lead to discrimination.
How can organizations ensure transparency in their ML models?
Organizations can ensure transparency by documenting their algorithms, providing clear explanations of how decisions are made, and allowing audits.
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