“Why Only Qualified Individuals Should Be Allowed to Use AI: The Importance of the ‘Garbage In, Garbage Out’ Principle”
Recently, a debate has emerged over whether or not people who don’t have degrees should be allowed to use powerful artificial intelligence systems like GPT-3. Some argue that everyone should have the opportunity to learn and explore new technologies, while others believe that only those with the proper education and training should be trusted to work with AI.
The debate was sparked by a group of people who, despite not having degrees in computer science or a related field, decided to try their hand at using GPT-3. Unfortunately, their lack of expertise quickly became apparent as they struggled to effectively use the system and generate accurate results.
As it turns out, the quality of the data used to train an AI system is incredibly important. If the data is flawed or inadequate, the output of the system will be similarly flawed. This is known as the “garbage in, garbage out” principle.
In the case of the group attempting to use GPT-3, their lack of understanding and expertise resulted in poor data input, leading to faulty output. It was a clear example of the importance of having qualified individuals working with AI.
Ultimately, the decision of whether or not to allow those without degrees to use AI systems like GPT-3 is a complex one. On the one hand, everyone should have the opportunity to learn and explore new technologies. On the other hand, the consequences of allowing unqualified individuals to work with AI could be severe, as the “garbage in, garbage out” principle clearly demonstrates.
