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

Hi Sarah,

In my experience using GenAI, I’ve found that establishing clear objectives is crucial to ensure the outputs align with my goals. Knowing exactly what I want to achieve helps in setting precise criteria for success. GenAI significantly speeds up the process of idea gathering and structuring, making it an invaluable tool for efficiency.

However, it’s important to remember that AI doesn’t replace human expertise and judgment. Implementing strong testing protocols and continuously refining the AI model based on feedback are essential practices.

Additionally, cross-verifying AI outputs with human expertise ensures accuracy and relevance. In my view, these steps collectively help in validating and checking the outputs effectively.

Best regards,
Daniel S.

I believe the most effective way to validate Gen AI outputs is to engage human input. Project managers should not take the AI-generated output as the ultimate outcome but should act as judges to investigate the results through a human-in-the-loop approach or by utilizing external experts for sanity checks. For example, if an AI model suggests a particular project timeline, the project manager should review this recommendation, considering their own experience and consulting with team members to ensure its feasibility. Additionally, crafting good prompts is essential for generating accurate and useful answers. For instance, instead of asking a vague question like "What should I do next?", a more specific prompt such as "What are the best practices for managing a project timeline in the renewable energy sector?" will yield more actionable insights. This combination of human oversight and well-crafted prompts ensures that AI serves as a valuable tool rather than a definitive authority.

Remark : This response is powered by OpenAI's GPT

Prompt :

( Refine the post below ,in one cohesive paragraph .i want to post it to PMI community discussion." i believe the most validation way for the Gen AI outputs is to engage the human input .do not take the output as ultimate outcome ,PM should be as judge to investigate the result (human in loop) or utilize external experts to make sanity checks. All of pervious besides good prompts generate good answers )