기계 공학자

Burke (기회 없음)이 말합니다.

Mechanical Engineering, like all disciplines of engineering, requires the ability to make difficult ethical decisions regarding systems that affect all of society. This is something that not even the most advanced generalized AI of the future is capable of doing.

Engineering is also a profession, which means that its members set the standards for who can be called an engineer and take responsibility for their decisions. AI cannot make decisions in light of the weight of their actions. It is a tool, not a person, which ultimately undermines any semblance of accountability that is necessary for engineering to be a respectable and societally beneficial profession.

Michal (기회 없음)이 말합니다.

I believe mechanical engineering to be far too interdisciplinary (design, manufacturing, economics) to be fully automated a whole. I see AI taking over or speeding up certain specific tasks that mechanical engineers are burdened with, never their entire role.

Ninjamokama_3 (낮은)이 말합니다.

There are way too many human aspects about engineering. It's next to impossible for AI to automate, let alone replace, every aspect of an engineer's job

John F. Sutton (낮은)이 말합니다.

This is a sometimes tough job and would be hard to automate for good reason such as:

1. Fixing stuff, this is complicated as it could literally be anything that could be broken about something.
2. Complexity, the more complex a job is, the more unlikely this job will be taken, this job is hard and absurdly complex sometimes.
3. Problems, this job can cause lots of issues with AI and it is the communication and bugs/viruses that could occur, the cost of these robots would be nuts and it would be hard to afford these machines.
4. Design, AI is a complex work of coding, there is one problem, how would they make the design of there robots that won't screw up how they work, they have to be just right to mimic a person and that would be hard to do.

C (낮은)이 말합니다.

Since Mechanical Engineering has to deal with problems beyond reasonable thinking and has to create something entirely new and possibly unrelated to any previous topic, AI could help but never replace a mechanical engineer

dhaarini (불확실한)이 말합니다.

no trained machine has ever come too close to designing any whole equipment. but certainly, I feel there are specific jobs that could be automated like pressure, stress, strain detection and analysis

d (기회 없음)이 말합니다.

The prompt is "next 20 years". No chance. There are so many industrial and mechanical problems that have yet to be solved, and AI right now simply trains on what's already been done and can then piece it together using predictions. Decent for language, OK but not great for art, horrible for design if you are actually trying to tackle a novel challenge. And if it's not novel... then what's the point? Just google it.

b (낮은)이 말합니다.

because we make the robot

Cyril (적당한)이 말합니다.

As I said. It will certainly take over some tasks that are simple. So it reduce the need for so many ppl, but still the engineers are needed to decide what to do, or to revise AIs work

ben (불확실한)이 말합니다.

some tasks can and some tasks cannot be automated by ai, such as critical thinking and originality.

Thomas (낮은)이 말합니다.

I am a maintenance enginner and I just don't see how AI would have the eye for detail or precision to do certain tasks that I do. Yes, robots mounted on an assembly line are one thing, so are surgical robots, but I work on many machines, each of which is completely different from the other. The amount of outside the box thinking that we use for problem solving, is what I think AI will struggle with. I guess the day that a robot can fix any other robot under any set of circumstances, is the day I lose my job.

Jon Branch (적당한)이 말합니다.

While many aspects of the job will be automated, these automations will serve to aid ME’s not replace them.

Nathan McDougall (낮은)이 말합니다.

Because, Mechanicinisms are really complicated. I know that robots and A.I. are also really complicated, and may be capable, but the chances of them succeeding are really low, so why put something in a position power and authority when we know they will most likely fail.

George Smiley (적당한)이 말합니다.

Speaking from the point of view of a simulations engineer who build mathematical models using finite element analysis, I think automation will at first assist simulations engineers but will eventually replace them as it learns best practices for how to overcome convergence issues or nonsensical results.

Sam (기회 없음)이 말합니다.

People that build and create won't be replaced by AI. Chat GPT said it itself that it simply doesn't have the creativity of a human.

Mark (낮은)이 말합니다.

Design is iterative, and that seems to be where AI would outperform any person. However, the fuzzy front-end, the people-centered part, where you and the customer effectively barter out what the product will do, is the hardest and most crucial part. Knowing what the customer wants is one thing, but interpreting what they need can require tact and persuasion, especially if it means longer leads and more cost. Usually, when a brief hits your table, there are so many aspects that both you and your customer haven't fully understood or "seen" the impact of until you're well into development, especially if it's a complex project. You can't take the human out of designing for people, at least not yet, and frankly, I don't think ever.

John Doe (기회 없음)이 말합니다.

Engineering requires a level of originality that robots simply cannot achieve. Additionally, if AI were to be trained to try to take these jobs, then there is no point in humanity. (Terminator)

İnanç Çaylı (적당한)이 말합니다.

With the rapid advancements of AI, I think engineers' jobs will be taken by robots in the near future. Therefore, there will be no need for engineers to design machines and systems because robots will be able to do the same.

Sam (불확실한)이 말합니다.

It could go either way since it's a matter of time before we develop software that can do engineering jobs, but it all relies on people. If people choose not to trust a machine, automation will never get it. Nearly every job can be taken by machines if the people choose to trust the machine with the work that the human started.

Martin (불확실한)이 말합니다.

AI is getting to a point where it can find patterns and suggest solutions, sometimes creative ones. This job may not be as safe as some may think.