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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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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?
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Kelly Terrell IBM - Learning and Knowledge Consulting Academy, Program Manager| IBM Evanston, Il, United States
Have a detailed well structured CREATE prompt that includes examples and ask to cite information when possible to ensure it is accurate and also timely
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Donna Rooker Program Administrator| Aeronix, Inc. Cocoa, Fl, United States
Verify with AI the references used, and ensure the references are current, and relevant to issue by asking for citations. Also, make sure to constantly clarify the issues and be specific as to the format of the reply.
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CHRIS EKWEDAM Project Manager| Carmels Tekno Ltd Port Harcourt, Rivers, Nigeria
Having a team to look at the results to ensure they align with our objectives, Setting up a system that can flag any inconsistency and having a feedback system.
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Dale Nolan Senior Services Consultant| GE Healthcare Trophy Club, Tx, United States
Best practice for relevant responses would be to use the CREATE formula with well defined prompts giving relevant input to the prompt. Reviewing the output then refining the prompt as needed to provide more specific input. Iterative response refinement benefits future prompting.
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Tabetha Summerlin Ms Tabetha L. Summerlin| Cox Enterprises Atlanta, GA, United States
Ensure prompts are clear, concise, and have some idea of your expected outcome. Ask for source validation. And as with anything, trust but verify.
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Kishore Akula Nellore, AP, India

To ensure AI results are accurate, relevant, and aligned with your goals:



Define the role and context clearly in your prompt.



Be specific about the format, depth, and expected output.



Break down complex tasks into smaller steps.



Iterate and refine based on responses.



Provide examples and constraints to guide the AI effectively.
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Galen Garrison, MBA, PMP, ACP, PMOCP Technical Program Manager| Western Governors University Salt Lake City, Ut, United States
Perhaps simplistic, but an approach is to test AI against a known input(s) and output(s) to see how AI would "predict" an outcome that actually occurred and recommendations to avoid the outcome.
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Anonymous
Be precise and clear.
Be sure you explain jargon or specialized terminology
Provide the context for all of your requests
Be sure you provide the outcomes you are expecting
Experiment and refine as you go
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Christine Lee Project Management| Eaton LOUISVILLE, CO, United States
I would practice using the AI with iterative statements.
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HIMANSHU CHOUBEY Manama, 15, Bahrain
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.
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