AI technology has taken over the world in the recent few years. Because of the importance that it has nowadays in our lives, there is a big need for technology to be ethical. There are many things that have to be considered to ensure that everything is fair and square, and here we are going to talk about potential problems and solutions.

Bias and discrimination

AI technology is based on data that has been used to train it. Because the data needs to be input, there is a potential threat that the tech has certain biases because of the source that has been used. This can lead to problems where the tech discriminates against certain types of people or ideas, and that is not good at all. What can be done to ensure there is more fairness is that there is a wider variety of data used, which will encompass different ideas. This way, the AI models will understand more than one view, and because of it, it becomes more objective.

The potential danger for humankind

The idea behind this concept is that artificial intelligence has the power to cause catastrophic damage and danger to humankind. Some people believe that, once it becomes so autonomous and strong, it can go towards some wrong ways against human values and interests. There is a great blog that explains meaning of p(doom), which is a metric discussing the probabilities of catastrophic events that AI can cause if it continues to develop at this rapid speed. Another idea is that governments and influential people can cause them to perform their evil plans, which leads to manipulation, constant monitoring, or even great conflicts. Discussions regarding the ethics, safety, and legal use of AI are needed to fight this risk and continue without fear of this system becoming the greatest enemy of humankind.

More transparency

Now it is quite difficult to understand just how these AI models work. Because of this, many people do not trust them, and that should not be the case. What should be done is that the models become transparent to some extent, where the user can see what approaches it is using and how it has come to certain conclusions. Whenever someone wants to know more about the whole process, they should be allowed to see it to some extent.

Lack of responsibility

AI responsibility has become one of the major concerns and topics, as sometimes, it can go way too far and make bad decisions. Sometimes it may not be so obvious whether humans or the system is to blame when something unexpected happens. So, developers and organizations must establish transparent rules and frameworks when using AI for their work, as this is the best way to establish accountability and gain more confidence in these systems.

AI has become an inevitable part of our lives, and people must learn to live with it safely and responsibly. Being proactive when it comes to certain risks, like bias, discrimination, transparency, and responsibility, can help humans develop AI systems that will work in their best interests without dangers and threats.