Allowing stakeholders to audit and review the system - This is the correct answer. Allowing stakeholders to audit and review the AI system ensures transparency and accountability in the development process. It enables oversight, helps identify potential issues, and ensures that the system meets ethical and legal standards.
Maintaining complete confidentiality of development processes - While confidentiality is important for protecting intellectual property, it can hinder accountability by limiting transparency and oversight from stakeholders who need to ensure the system is ethical and fair.
Automating decision-making without human oversight - Automating decision-making without human oversight can reduce accountability, as there would be no mechanism for checking or correcting decisions made by the AI system, especially in critical areas like healthcare or finance.
Prioritizing only performance metrics during development - Focusing solely on performance metrics can lead to overlooking ethical concerns and accountability issues. A holistic approach that considers fairness, transparency, and accountability is essential in AI development.
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Microsoft Azure AI Fundamentals AI-900
Describe Artificial Intelligence Workloads and Considerations
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