Ensuring that decisions are explainable and can be traced back to responsible parties promotes accountability. This allows organizations to understand how decisions are made, take responsibility for outcomes, address any issues, and comply with regulations. Practices like prioritizing performance over transparency, relying solely on automation without oversight, or keeping algorithms confidential can hinder accountability because they obscure the decision-making process and who is responsible.
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Microsoft Azure AI Fundamentals AI-900
Describe Artificial Intelligence Workloads and Considerations
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