I don't have personal experiences or real-world conversations, so I can't say I've been in one myself. But in many discussions, I've analyzed, "AI" often means very different things to different people. Saving Changes...
When someone says, "we should use AI," I think it's important to first understand the actual problem they're trying to solve. I would ask what task they want to improve, what outcome they're hoping for, and whether AI is the best solution. By asking these questions first, it's easier to choose the right AI tool and make sure it adds value instead of creating unnecessary complexity. Saving Changes...
Inemesit Adeniyi Portage Regional Economic DevelopmentPortage la Prairie, MANITOBA, Canada
When I hear 'Lets use AI' the first thing that comes to me is identifying the business problem this usually determines the use case. When the use case is identified, the type of AI to employ usually stands out, I consider anonymizing data and activating the human loop in every stage of my work very important I have come to realize that so many people see using AI as an escape route not to put in the works. but we should remember that, especially, with social phenomena things can be very dynamic. Saving Changes...
Most individuals relate AI to LLM lihe ChatGPT. There are very few individuals who realize that AI is on an "agentization" process, evolving from the current assistant status.
Agentization refers to the process of turning an AI system (such as a LLM) into an autonomous agent that can:
Perceive its environment (through inputs, data, APIs, sensors, etc.)
Make decisions based on goals
Take actions using tools or external systems
Adapt based on feedback or changing conditions
That's an interesting point. As AI becomes more autonomous, I think trust and accountability will become even more important. If an AI agent makes a decision, who should be responsible for the outcome? Saving Changes...
Anonymous
Since there was push to AI, I have started using it for summarising my weekly report Saving Changes...
I’ve been in conversations where “AI” meant completely different things to different people. One clear signal is when expectations about the output don’t match. For example, a client may treat an AI‑generated house image as something close to a final design, while an architect or engineer sees it only as a sketch that still needs to be checked for structural safety, regulatory compliance, constructability, and cost. The gap becomes obvious once we talk about what the deliverable is supposed to be. Trouble usually starts when all AI work is treated as the same. People may choose a tool that doesn’t fit the task, assume the data they have is enough, or rely too much on results that only look complete. In construction, this can lead to unrealistic timelines, incorrect cost assumptions, design mismatches, compliance issues, and confusion about who is responsible for verifying the output. So when someone says, “We should use AI,” I begin by clarifying the basics: What problem are we trying to solve? What information do we actually have? What result do we expect? Who will check the output? How will accuracy and privacy be handled? From experience, AI tools can help with analysis and planning, but they don’t replace professional judgment. Before using them, the team needs a shared understanding of the problem, the task, and who is accountable for reviewing the results. Once that’s clear, it becomes easier to define scope, risks, resources, and the value the tool can realistically provide. Saving Changes...
Which decision or process do you want AI to improve? Estimating, planning, procurement, construction monitoring, quality control, HSE, document management, or project reporting? Once we identify the problem, we can determine whether AI is the appropriate solution Saving Changes...
I think currently the capacity of AI is being developed by the entries that users have and as we use it more for simple tasks or information the development of AI is limited and most likely to fail at some point cause we are not teaching it mostly to advance or have higher capability, so people needs to be careful from now on, on discerning if the answers of AI are going to be good or not, very easily misinformation can happen, Saving Changes...
While it is recognized that AI can provide valuable support, clarification is required regarding the specific AI system to be used, as numerous AI platforms and tools are currently available. Saving Changes...
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