Nvidia had another big event at these this year which featured CEO Jensen Huang main address. There were a lot of incredible things in Huang's opening address, but one thing really caught my attention and it was NemoAn offer that helps AI for business use. What fascinated me was that the elements that Huang described about Nemo are a variety of digital libraries that form ais how to interact with others, understanding culture and understanding the limits of language and understanding, which all guarantee that a new AI can integrate perfectly into society implementing it.
What is ironic is that HR rarely do all of this, in particular with regard to distant human employees. Indeed, with Nemo, companies will do a much better work in IS to integrate than they have probably never done with real people. I do not suggest you avoid Nemo because of this, but perhaps take the elements of Nemo and AI and use it for better on board your new employees, especially distant employees.
Let's talk about this this week because we are using more and more progress to help AIS better jobs than people and not to do enough to use technology to improve the integration of human employees who, I think, will lead to the way in which human employees are increasingly unable to compete with their AI counterparts.
People vs. ai
In the 1970s, when I did undergraduate work for my second diploma, which focused on workforce management, my career path was disrupted when it was discovered that the use of science to select employees for hiring and promotion was discriminatory. The reason was that most of the minorities were denied education that had to be competitive, so they were disadvantaged in the tests. Rather than solving the education problem, the US government has launched the EEOC (Equal Employment Opportunity Commission). This effort tried to force diversity without correcting the underlying educational problem and largely prohibited the management of the workforce because it seemed discriminatory.
It is fascinating for me that AI (still) has a problem of discrimination; We have offers like Nemo who use technology to integrate AIS into the companies they will serve. The approach to selecting an AI is only focused on its capacities. There may be a certain discrimination based on the company that has created AI according to the place where this company resides or the perception of the brand of this company, but as these things are not people, we do not feel the need to overcome this type of discrimination, we therefore select by program AI and ensure its training without any concern for discrimination.
This is what we should do with the employees: select them according to their capacities and make sure they are fully able to integrate with the people with whom they will work. Nvidia has spoken of physical AI and tools like the cosmos that cause robots to better interact with other robots and the people around them. This could lead robots that get much better training efforts and much better integration efforts than humans.
Robots already have enormous potential advantages compared to their human counterparts because they can generally work longer, harder and in areas that harm or potentially kill humans. They are stronger, never fall sick and can be more easily repaired than people.
Envelopment: we need a nemo and cosmos for people
I do not derogate from what Nvidia does. What I suggest is that we adopt the same training concepts and adapt them to the training and integration of human employees. There is no doubt that, possibly AIS and robotics will replace most of the work that is currently carried out by people, but this trend can be much more manageable and be distributed over a longer period if we also work to improve the tools we use to train, recycle, select and integrate human employees. There is no reason to promote ais and robots so obviously on people. Technology can be used to improve both. A future where AI, robots and people are all used in an optimal way would be a better world than what we have now or what we will probably find ourselves if humans become prematurely obsolete.
Like what should have been done in the 1970s to ensure that everyone had the same training opportunities, regardless of minority status, we must work to ensure that humans do not become the new disadvantaged minority by applying learning similar to the training of people we use on AI. If we don't do it, we hide prematurely.
So while I applaud what Nvidia did with Nemo and Cosmoswe too Need to make similar efforts To better assure that humans can remain competitive with their AI and their robotic counterparts (Like this for doctors) And distribute the transition so that we will have time to understand what roles humans should play in our AI and our robotic future.
