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Provide detailed and specific information and review the output
Ensuring accuracy, relevance, and alignment when using AI systems is crucial. Here are some best practices:
- Clear and specific prompts - Verify outputs - Understand the AI's limitations - Iterative refinement - Maintain context - Critical thinking by applying our own expertise and judgment to evaluate AI outputs. - Set clear evaluation criteria - Use AI as a tool to augment, not replace, human decision-making. - Involve subject matter experts in reviewing and validating AI-generated content. - Be mindful of potential biases in AI outputs and ensure compliance with relevant regulations and ethical guidelines. These are some points that deserve attention when we use AI systems in Project Management. 
Eba'a Mobydeen
Project Manager | Senior Motion Graphics Artist and Video Editor| Self-employed
Amman, AM, Jordan
When using AI systems, follow these best practices to ensure accuracy, relevance, and alignment with your goals:
1. Define Clear Objectives: Clearly articulate the goals and criteria for the AI system to address. 2. Use High-Quality Data: Ensure the data used for training and testing is accurate, relevant, and up-to-date. 3. Regularly Validate Results: Continuously monitor and validate the AI's output against your objectives and real-world scenarios. 4. Incorporate Human Oversight: Implement regular reviews by domain experts to catch and correct any discrepancies. 5. Adjust and Optimize: Continuously refine and update the AI model based on feedback and changing requirements. 
Anonymous
I'll definitely agree with most of the comments on emphasizing the importance of detailed information while being EXTRA diligent ensuring no confidential information is shared.
Context-driven prompts unlock AI's power for project managers. By tailoring prompts to specific project details, you can automate repetitive tasks based on your unique needs. Imagine generating customized meeting agendas or project reports with a few well-crafted instructions. This frees you to focus on high-value activities. Instead of spending hours on administrative tasks, you can dedicate time to strategic planning, team development, and proactive risk mitigation. I've seen the impact firsthand. By providing context in my prompts, I've automated scheduling, generated tailored reports, and even received AI-powered risk assessments. This empowers me to deliver exceptional results and stand out as a data-driven project leader.
Rasaq Olaniyan
Houston, TX, USA
By avoiding ambiguity. Asking right question and having right data will bring about AI capacity to generate accurate report
Be clear on what you are asking for and have an idea of what output you are expecting. Remember you are dealing with 'history' data and which may not be relevant for what you are looking for to use. Remember, vague questions will have vague answers.
Lenin Hazim
Santo Domingo, Distrito Nacional, Dominican Republic
By using the correct prompt formula you will be able to get the output you are looking for considering the context, however AI is not perfect, that's why we need to consult and compare the outputs we receive with the reliable sources. In complex cases when the CREATE formula is necessary, it is a good practice to feed our LLM providing context from reliable sources.
Adedeji Adebanjo
London, United Kingdom
To ensure results received are accurate, relevant and aligned with original goals; effective prompts should be adopted because they serve as the blueprint for AI-generated responses, guiding the model toward producing relevant and actionable outputs
In my experience, the following best practices can ensure that you receive more accurate information aligned with your objectives: Narrow down your objective. Be precise in your request. Ask for detailed steps needed to complete the task. Provide context to your request. Specify the outcome you expect. Request additional sources if necessary. We are just beginning to understand the impact of AI. Its applications extend beyond project management to many other fields. Therefore, practices such as testing, learning from failures, and drawing insights from analogous industries could help us maximize the power of AI and achieve our project goals. |
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"It is an important and popular fact that things are not always what they seem. For instance, on the planet Earth, man had always assumed that he was more intelligent than dolphins because he had achieved so much -- the wheel, New York, wars and so on -- whilst all the dolphins had ever done was muck about in the water having a good time. But conversely, the dolphins had always believed that they were far more intelligent than man -- for precisely the same reasons." - Douglas Adams |
