When using AI systems, what are some best practices for ensuring the results you receive are accurate, relevant, and aligned with your original goals?

Artificial Intelligence

Sarah Philbrick

PMI Team Member

Director, Learning Design & Development| PMI Asheville, NC, United States

Validating and checking outputs is critical when working with AI systems like Generative AI. Such validation approaches may include establishing clear criteria, implementing strong testing protocols, and continuous refinement.

In your experience with AI, what are some best practices for ensuring the results you receive are accurate, relevant, and aligned with your original goals?

Posted: Jun 6, 2024 1:53 PM

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James Bourassa Sr. Program Manager| Collins Aerospace Clemmons, Nc, United States

I have found that to ensure AI results are accurate, relevant, and aligned with your goals, you need to shift from passive questioning to active direction. I think some key practices include setting clear objectives, providing detailed context, iterating on outputs, and maintaining strict human oversight to verify facts. These will go a long way in improving query results.

Posted: Jun 14, 2026 9:51 PM

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When using AI systems, what are some best practices for ensuring the results you receive are accurate, relevant, and aligned with your original goals?

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