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?
Mario Zuluaga TobónDirector of PM/PMO| IPS UniversitariaEnvigado, Antioquia, Antioquia, Colombia
Jun 08, 2024 6:40 AM
Replying to Oliver Chitsamatanga
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A very good question and also difficult to answer as well. However you have to go to the basics and say as far as you are concerned, how well are you versed with the subject at hand ?. There are facts which the AI will generate and if you can verify these facts the more reliable the generated response will be. The fewer the facts then it means that the Generative AI response is far from meeting your original goals. Then it becomes very critical that you review the accuracy , relevancy and the alignment of the response to your original need. Unfortunately there are no clearly defined metrics that one can use a model to evaluate an AI generated response. So from my personal experience I basically restrict AI to an area where i have sound knowledge of , else it becomes almost impossible to verify details generated by an AI if you venture into unchartered territory. However with long usage and exposure your confidence also tend to increase as well. The best practice and protocol to follow would be to consult subject matter expects to validate the AI generated response before making critical decisions based on it to avoid any inherent associated risks which you might be not aware of.
AI, as useful as it is, is always going to require the knowledge of a human to help determine how coherent its responses are. Obviously, if the human doesn't know their domain area, the AI will steer them in any direction. From my point of view I prefer to see AI as a very capable assistant with the ability to access a great deal of knowledge. But, in what parcel of knowledge, are the answers we are looking for, still require criterion and good judgment from a human. It is this joining of forces that really makes AI powerful.
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1 reply by Patronila Nyawira
Mar 10, 2026 12:33 PM
Patronila Nyawira
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I resonate with this response, AI is as smart as the user. It has an upper hand on the pool of resources it can access and analyse in a very short time, but will still require proper guidance from the prompt given.
Saving Changes...
Anonymous
Reference reliable sources and adjusting the response Saving Changes...
To get accurate, relevant, and goal-aligned results from AI systems, start by clearly defining your objective and providing detailed, specific prompts with relevant context. Treat AI as a co-pilot -validate its outputs, cross-check facts, and refine results through follow-up questions. Structure your requests (e.g., ask for bullet points or summaries), tailor the output to your audience, and always apply your own critical judgment, especially for sensitive or high-stakes decisions. Avoid sharing confidential data unless security is assured, and combine AI insights with human expertise for the best results. Saving Changes...
Think critically so that you are prepared to structure the prompt strategically. Working collaboratively is not a new concept, it's just a different format now. The delegation process among human beings requires the same approach so that results are comprehensive, strategically aligned, and address all variables. Saving Changes...
NILESH PATILProject Manager| Agami Tech Pvt LtdMumbai, India
Be precise about your word and make sure your provide an proper formatted input to get the desired values in response. Saving Changes...
Anonymous
1.Use diverse and high-quality training data
2.Sanity-check AI output
3.Be mindful of potential biases
4.Break down complex tasks
5.Be specific and detailed in prompts
6.Human Oversight and Ethical Considerations Saving Changes...
Anonymous
When using AI systems, ensuring that you receive accurate, relevant results aligned with your original goals requires careful planning and execution. Here are some best practices to consider:
div /div
div1. Define Clear Objectives/div
div2. Provide Contextual Information/div
div3. Iterate and Refine Prompts/div
div 4. Validate Results/div
div5. Understand Limitations/div
div 6. Focus on Ethical Considerations/div
div 7. Continuous Learning/div
div /div Saving Changes...
Anonymous
Having a structure to the request by being clear and concise, providing examples and format and specific to your project. Saving Changes...
"If you have an apple and I have an apple and we exchange apples then you and I will still each have one apple. But if you have an idea and I have an idea and we exchange these ideas, then each of us will have two ideas."
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