Director, Learning Design & Development| PMIAsheville, 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?
Always make sure that the AI systems are used within the defined company security protocols. Do not share personal or confidential information. The output generated needs to be fine tuned for any Ethical Violations, Data Security etc. Saving Changes...
Always make sure that the AI systems are used within the defined company security protocols. Do not share personal or confidential information. The output generated needs to be fine tuned for any Ethical Violations, Data Security etc. Saving Changes...
To get familiar andeven mastering in prompt engineering would definitely empower a project manager
in different aspects and in these days, it is a required facility to belearned. Thanks for the good presentation from PMI. Saving Changes...
When using AI systems, I’ve found that a few best practices really help ensure accurate and goal-aligned results. First, I always start with a clear and specific prompt that outlines the context and expected format. Then, I review the output critically to check for consistency and factual accuracy. It also helps to validate results using reliable sources and, when possible, iterate on the prompt to refine the output. Regularly aligning the AI’s responses with evolving project goals is key to maintaining relevance. Saving Changes...
AI tools can be powerful, but their output is only as good as the way they’re used.
The best way to get accurate, relevant, goal-aligned AI results is to: Be crystal clear on objectives. Break requests into steps and iterate. Validate outputs rigorously with trusted sources. Refine prompts and roles for precision. And keep human judgment central to ensure quality and ethics. Saving Changes...
Alex Kojo BoahomaNational Project Manager| International Telecommunication Union - GhanaAccra, Greater Accra, Ghana
I usually ask for references/sources, especially when the prompt requires an out that is data-driven or backes by data. When the output cites the sources, I do a quick from the source to determine if the information provided is in a form I would want to us. Saving Changes...
Establish a baseline set of rules for the area of expertise. Feed this into the AI engine and refer to this standard as you move forward. If the process is iterative, then ensure the baseline is always a part of the adjustment. Saving Changes...
When using AI systems, it's important to fully understand the objectives, formulate prompts clearly and concisely, provide context, and iterate if further analysis is required. In any case, human oversight component is key for achieving results. Saving Changes...
In my opinion while interacting with AI the best practices that should be followed in a hybrid approach of RTF and CREATE making a detailed prompt text going as much at the granular level as possible to allow AI to get the specific results that is required. Saving Changes...
PMI Team Member
