DANGERS OF AI AND THE NEED FOR REGULATION
ARTICLE


In a fast pacing world where everyone getting their hands on either ChatGPT or other open source ai models. These models train on the public data, which is garbage at the moment, but if the same open source gets their hands on quality data, imagine the consequences it has on the whole. Each company must avoid using open source ai solutions because the more you use it the quicker it will replace you as well as harness your data. For you it may seem expediting your workflow, it reminds of a conversation I had with an old pal,“What is there if they steal my data, I am nobody, I put my life in the public domain”, well in a few years you have given these companies a silver bullet to hunt you down. None of the jobs will be safe, nor will any restricted data or copyright laws be protected. The ones that are building or “training” on public data they lack the most integral part of any fresh development. When a child is born he needs to be taught the values and ethics because those are the founding blocks, if he doesn’t compromise on the ethics no matter where his serves in any disposition, the community will be safe to assure that they are in good hands. But when you train an AI on public data, it doesn’t have the safeguard or know how between what is fair license and what is restricted. It will process anything and everything that it got its hands on. It may earn you quick bucks and enhance the capabilities of iterative process, but using public data to train these models is equivalent to buying liquor to your young underage kids for consumption. The difference between ethical and non-ethical is blurred. The regulation is a need of the hour, but before anyone can understand what the capabilities of the system are, the quick way to stop these menace is to develop in house ai model which is restricted for government or academic institutions. Open source should be avoided, it is because if you are using it, it is using you. It may save a lot of time and cut down your requirements for bandwidth in your workplace, but at the same time it got access to your internal system. If not you, then your pompous colleague may be using it to get ahead of you, to gain some brownie points from his supervisor, but a chain is as strong as its weakest link; that one employee will cost the entire company. Any institution that have quality data must avoid access to these machines. Because if you don’t, not only the machines can create the knowledge repository faster than compared to humans. Besides, it will make your institution obsolete. Programming within a decade would be a talk of the past, entire service industry will crumble because of the business model that they use to thrive is mostly on body count rather than brain count. If there are two exceptional resources in a team of five, the rest three use to piggyback on them. Now, going forward with AI agents these will change very fast. Those three will be out of job and a glooming crisis will shatter not only economy but take a massive toll on millions of people.