Disadvtanges of AI

 

 

 

 

High cost

It’s true that AI comes with a high cost, but there is no such thing as a free lunch too. It requires huge costs as it is a complex machine. Apart from the installation cost, its repair and maintenance also require huge costs. The software programs need frequent upgradation and cater to the needs of the changing environment.

No improvement with Experience

Artificial intelligence cannot be improved with experience, they can perform the same function again if no different command is given to them. With time, it can lead to wear and tear. It stores a lot of data but the way it can be accessed and used is very different from human intelligence.

Also, they can’t cope up with the dynamic environment and so they are unable to alter their responses to changing environments. We are constantly bombarded by the question of whether it is really exciting to replace humans with machines.

Unemployment

This one is the riskiest and can have severe effects. With capital intensive technologies, human-intensive requirements have decreased in some industries. If in the future, human beings don’t add to their skills, then in no time, we can see that they will be replaced with machines. The major issue of the GDP being stagnant or not growing at the expected rate is unemployment. People don’t possess the required skills that are in demand. There is a huge demand and supply gap because of this.

 

Ethical Considerations

AI may pose a great ethical challenge for humanity if it reaches a very advanced stage. At what point may a machine be deemed sentient, conscious, and therefore entitled to similar to what we call human rights? We may never reach this stage of AI – it may not be as hard as some imagine – but early awareness of AI’s ethical considerations is vital going forward.

Another ethical consideration is given the costs of advanced AI, it is generally monopolised by the world’s biggest businesses. Who owns the data collected by AI and what can companies legally do with it? DeepMind has already been embroiled in data controversy surrounding DeepMind Health and how it interacts with NHS records.