Project Management

Please login or join to subscribe to this thread

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

linkedin twitter facebook   Artificial Intelligence  
avatar
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?
Sort By:
< 1 ... 56 57 58 59 60 61 62 63 64 65 66 ... 191 >
avatar
Linda Haywood United States
At the risk of dating myself, using AI reminds me of when the internet first came out: grasping the concept that the more accurate and detailed the prompt, the better the results AND using it responsibly by keeping ethics and security top of mind when using are main priorities in terms of best practices IMO.
avatar
Lisa Davis Willingboro, Nj, United States
Jun 08, 2024 6:40 AM
Replying to Oliver Chitsamatanga
...
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.
I agree it is extremely critical that you review the content for accuracy which I think is best done by using subject matter experts and or determining the source of the output generated.
avatar
OLUWATOYIN TOBUN IKEJA, LA, Nigeria
To ensure accurate and relevant AI results, start with clear goals and precise inputs. Use quality data to train or interact with the AI and regularly validate the outputs. Cross-check results with reliable sources to avoid errors. Combine AI insights with human judgment for better decision-making. Continuously update the system to adapt to changing needs and data.
avatar
Gerard Laffan Program Manager| Intel Clare, Ireland, Ireland

Challenge AI by requesting evidence, identifying source reliability, and considering counterarguments. PM oversight remains critical—AI should support decision-making, not replace it.



By continuously testing AI-generated insights, refining questions, and integrating AI as a soundboard rather than an authority, PMs can differentiate themselves, command higher value, and make more informed decisions in hybrid and remote environments. AI is a tool, not a replacement—its value depends on how effectively PMs leverage it.
avatar
Anthony Okoye Lead Master Scheduler| Department of War - DoW Maryland, Md, United States
Continuous refinement in prompt creation becomes an easy adoption for the use of AI.
avatar
David Johnson Functional Manager| BlueCross BlueShield of Alabama Birmingham, Al, United States
Ultimately, you are responsible for the results. Run the results by a domain SME or use the same conversation with a different AI engine to see if you get the same results.
avatar
Vishal Raja Doncaster, Victoria, Australia
Top 3 ways to get best outcome :
1) Iterative Prompt Refinement is 'normal'.
2) Always use a prompt technique for alignment - RTF or CREATE
3) Provide examples and sufficient context
avatar
John Njoroge Project Management| Equity Group Holdings Sabaki/ Athi river, Kenya
there are several ways that i use.
1.Ask validation question which you already know half the knowledge to analyze the output
2. Using iterative chain request to refine the output to a stage that you can request for self check.
3. as the AI for references on the material i.e. what infinity does by default
4. framing the questions properly and giving the added instructions on how you want the output and setting specification like which year or range of year you want the analysis to be subject to.
avatar
Mimi Cuff Project Manager| Conference of State Bank Supervisors Washington, Dc, United States
A few ways to ensure that your AI responses are accurate are to employee different prompting patterns and recipes such as CREATE or the ReAct pattern.
avatar
Anonymous
Providing specific content and asking for references. Final validation of the output is essential.
< 1 ... 56 57 58 59 60 61 62 63 64 65 66 ... 191 >

Please login or join to reply

Content ID:
ADVERTISEMENTS
ADVERTISEMENT

Sponsors







Vendor Events

See all Vendor Events

Newsletters

Jun 3: The Career Problem Facing New PMs
May 20: Your PM Career as a Project Life Cycle
May 13: The Big Lie After Layoffs

See all newsletters