The rise of the “self-actualized worker” is the result of the digital revolution. Work can now be done on computers, tablets, phones, and wearables. This is where the power of self-awareness comes in. The ability to track and control how work should be executed is in the hands of anyone who is good at it. With self-aware machines, you can track, control, and even predict how your work will be completed.
There is a dark side to the self-actualizing worker that is often ignored. The rise of digital automation has created a way for workers to become self-actualized automatons. This is what automation governance is about. It’s about ensuring workers are held accountable for their actions and that self-actualization is not just a nice to have, but a necessity.
There is a bit of a debate over whether it is a good thing that smart machine workers have become so easy to control. They seem to be doing their jobs better and faster than ever, but this has also led to a growing number of workers being unemployed or getting laid off.
This is the same issue that goes hand-in-hand with AI automation. The problem is that workers are often caught in this “automation paralysis” where they are not able to self-actualize because their own actions are preventing them from realizing their full potential.
This is just one of the more common complaints I see about the employment situation. Employers are not always the best at monitoring their workforce to assure they aren’t being replaced by automation. When machine-learning algorithms are able to spot a potential candidate, an employer should be able to be proactive in finding and hiring the best person for the job. But even then, it’s hard to know what’s going to happen when the AI begins to replace workers.
The most recent Google “Automation Survey” that I read was in 2014, and the results showed that employers were concerned about their workers being replaced by algorithms. I believe this survey is still relevant for how automation is affecting employment today.
The automation is great for what it does for us. It’s not perfect, but it’s definitely doing what it is supposed to do. It’s certainly not perfect, but it shows that it’s working the right way.
Google’s answer to the automation problem? To make it more clear that it will only do what is needed and stop when it is needed. When Google first started doing this, they said that they don’t want to make algorithms that are “too smart” for human control. But that hasn’t stopped them from making algorithms which are “too smart” for human control.
Google has been trying to solve the automation problem. As they have pointed out, it is a much bigger problem than the general “algorithm problem.” Even if they had the general “algorithm problem,” the automation problem is far more insidious. By allowing algorithms to do more than what they are supposed to do, you are making the automation problem much harder to solve.
I will give you another example of the kind of problem the algorithms are supposed to solve, and that is the search engine spam problem. Google is trying to tackle that problem in a way that is more proactive than they have ever been in the past. They are trying to get rid of the bots which are doing all the spamming, and they are trying to figure out which are the ones who are doing it the most.