Transparency involves making AI systems understandable and explainable to users and stakeholders. By enhancing transparency, the company allows users to comprehend how data is processed and how decisions are made, building trust in the system.
Privacy focuses on protecting personal and sensitive data, which is important but does not specifically address understanding AI decision-making processes.
Fairness aims to prevent biases and ensure equitable outcomes.
Inclusiveness ensures AI systems are accessible and beneficial to diverse users.
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Microsoft Azure AI Fundamentals AI-900
Describe Artificial Intelligence Workloads and Considerations
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