I do find it astonishing that back in the early 1990s I was still producing handwritten material that then got typed up by a typist. Then, were edits and errors needed correcting, “cut and paste” really meant cutting and pasting paper. Applying Tipp-Ex correction fluid was normal. Wonder who uses that now? It’s still available.
Engineering practice adopted word processing rapidly from that time on-ward. It’s now almost inconceivable that anyone would get someone else to type up their work. Early lap-top computers that weighted heavily on the shoulders, were carried to meetings as necessity but not love. The joys of trying to find a printer that would work was a daily mission.
In about 30-years we’ve gone from that primitive introduction to the digital realm to machines that want to write papers and reports for us. From brick like “portable” computers that required cables and batteries that drained in minutes to the complete world being available on-line anywhere on the globe.
The mechanisms by which engineering design and development were done have advanced in such a way as to make the past seem rather curious. I’m not saying that we’ve become ever cleverer and more inventive with the passage of time, just that the speed of trail and error has increased dramatically.
Past mechanisms did make the ability to change a path, once set on that path, difficult. I remember the reluctance to introduce changes unless an overwhelming case could be made. In this new situation, making changes still has a cost associated with it, but the resistance to change isn’t so much driven by the processes used.
What’s happing, like it or not, is that artificial intelligence’s transformative impact is touching, or will be touching, everything we do. That includes engineering design and development.
I’d say it’s a good time to be an innovator. In theory, it should be possible to explore many more possibilities that could be explored in the past. That is for the same level of cost in time and money. There’s not a single part of engineering practice that will not be impacted. Classrooms, meeting rooms and workplaces where the business of communicating technical ideas and testing them goes on, will be fertile ground for the application of AI.
I don’t think we understand just how transformative the impact will be on engineering. It’s not all upside either. Technology’s promises are great. There are perils too.
AI can only know what it’s been trained on. That maybe extremely extensive. However, innovation comes from creativity and inventiveness where the past may only be a partial guide. Also, there’s the danger of overreliance on these almost magical tools too. New skills must develop to be critical and knowledge of the deficiencies of complex algorithms.
All of this is a bit different from paper, correction fluid, scissors and tape. What an exciting time to be a young engineer.