But added to this is the issue of data-sovereignty and cost.
https://www.wired.com/story/twitter-photo-crop-algorithm-favors-white-faces-women.See (for example).
https://en.wikipedia.org/wiki/Ofqual_exam_results_algorithm.Is your work in construction automation leading us to the end of humanity?.We don’t believe in the automation of everything.
We believe that there is and will always be a place for human intervention – a place for people to apply their design, construction and engineering know-how – it’s just about taking the tedious repetitive tasks away from humans and getting them to do the bits they’re good at.And that includes solving the parts that are not worth automating or that are hardest to automate.
There are very obvious ethical dimensions here too, about automating humans out of work – or, conversely, about automating the function of humans within working environments.. We’re not charging headlong into some dystopic future.
But we need to be aware that technology is not in a vacuum.The data issue is another factor impacting the skill sets required in the laboratory..
Although the automation path forward for laboratories is uncertain, it was felt that longer-term plans and strategies were needed.. For example, if automated systems become prevalent, they become increasingly critical to operations and supply chains.This brings with it a need for increased reliability, redundancy and contingencies..
There is a paradox; what does long-term planning look like when there is little clarity on how individual technologies will deliver or develop?How do we demonstrate clear business cases for investment when many approaches are not yet ready for deployment and those that are ready have not been tried and tested?.