Disadvantages of AI

Disadvantages of AI


Let’s first define artificial intelligence (AI) before talking about its benefits and drawbacks. Artificial intelligence (AI) allows a computer programme to reason and learn on its own at a high degree. Artificial intelligence is the imitation of human intelligence by machines that do tasks that are typically performed by people. Based on their capacities, the three basic classifications of AI are weak, strong, and super.

Risks of AI

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Some of the risk associated with AI or precisely some of the disadvantages include- 

1. Unemployment 

Robots are one application of artificial intelligence that are replacing jobs and raising unemployment (in a few cases). Due to chatbots and robots replacing humans, some argue that there is always a danger of unemployment. For instance, in some more technologically advanced countries like Japan, manufacturing enterprises regularly use robots to replace human personnel. Yet, this is not always the case because it also gives people more possibilities to work and replaces them with machines in order to work more effectively. 

2. No scope of Improvement 

Artificial intelligence cannot be developed by humans because it is a technology that is entirely based on pre-loaded facts and experience. It can carry out the same task repeatedly, but you must alter the command if you want any adjustments or improvements. It can hold an unlimited quantity of data that people are unable to, despite the fact that it cannot be accessed and utilised like human intelligence.

3. Lack of Transparency 

Things can be flawed in many different ways, which is why transparency is crucial.The input data may have been improperly cleaned or be replete with mistakes. Alternatively, it’s possible that the engineers and data scientists who chose the skewed data sets for the model’s training did so unintentionally. Yet with so many potential problems, the true issue is lack of awareness, or not knowing why the AI isn’t working well. Sometimes it doesn’t even matter that it’s doing poorly. A typical application development process includes quality assurance, testing procedures, and tools for promptly identifying defects. 

4. Threat of profiles 

With AI, disturbingly accurate profiles of individuals can be created. As algorithms are designed to discover patterns, it was obvious that they could anticipate a user’s likely future position by looking at their previous location history when their ability to collect personal data were tested in a competition. As the location information of friends and other social contacts was added, the prediction became even more precise. This drawback of artificial intelligence is occasionally minimised. 

The Bottom Line

It’s easy to think that artificial intelligence doesn’t matter much to what we do on a daily basis given all the hype surrounding robots, self-driving cars, etc. The bulk of us do, in fact, interact with AI on a regular basis in some way. Our daily lives have quickly incorporated AI, from checking your smartphone when you wake up to watching another Netflix recommended movie. A Statista analysis projects that the global AI market will grow by up to 54 percent yearly.

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