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Why You Need Azure to Secure Your AI Solution

Watch the full video to ensure fairness, security, transparency and accountability in your AI deployment.

Building an AI solution might seem straightforward, but deployment requires careful consideration of several crucial factors.

  1. Fairness: Ensure your AI solution is unbiased, meaning the responses it generates should not be influenced by who is asking the question.
  2. Privacy and Security: Protect your data from leaks and prevent it from being used to train future models without consent.
  3. Transparency: Clearly explain how your AI model works to build trust with users.
  4. Accountability: Monitor and review the interactions with your AI to continuously improve its performance and reliability.

Before going live, review Microsoft’s AI deployment checklist to ensure your solution is trustworthy and reliable for your users.


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