In the future, there will be a plethora of new positions in many industries.
Consider the 1800s. The industrial revolution had begun and for the first time in our planets history there was a means for people to exchange their time for money, food clothing or shelter. It was a far cry from bartering. As a result, we now have structures and inventions that still exist today.
Nextly, consider the 1900s. Communication became global and work that was done in the 1800s was improved for efficiency.
In 100 years our planets inhabitants had joined in creating a better place for all. Connections could be made more easily and work became fairer. There was more choice.
However, leaders in the 1800s and 1900s could not predict work positions of the future. Today, there are so many different roles that the current fears around A.I and joblessness in the future is equally difficult to predict, according to Adam Thierer. Around the year 2014 when IBM’s Watson was exclusively available to the specialists there, the term used was “cognitive computing.” Cognitive computing implies that humans work alongside machines. Of course, the development of A.I and algorithmic structures involves many people, companies and industries.
The current debate globally revolves around regulation of A.I. I support innovation to be “innocent until proven guilty,” and as an optimist I believe the fears are out of ignorance.
As with any computer there are inputs and outputs. The information gained from generative A.I may be overwhelming for the average user with a ChatGPT app. However, A.I can save people a lot of time, especially in the finance and banking industries. The technology has been in existence for quite a while now, it is its mainstream use that is causing a stir.
As previously mentioned, many people are involved in developing A.I further. The goal of everyone involved is to align algorithmic systems with the well-being of humankind.
gemma moore
Tech Policy by Chris Doyle 