AI Myth: Artificial Intelligence means no longer requiring humans

In recent years artificial intelligence (AI) has grown in popularity and there is much hype regarding its potential. As much as this new reality has enabled a lot of things in the world today there is often a misconception of how “intelligent” the tech can be.

Undoubtedly, AI has been revolutionary and has helped in unlocking various innovations. But AI and Machine Learning could just remain to be tools that will always require human ingenuity to effectively operate at least in the near future.

So the misconception that AI will one day replace humans should be done with. This is because it is humans that create these systems and as much as the technology is becoming a reality in almost all sectors, it can’t exist on its own without humans. Below are at least 3 reasons why Artificial Intelligence still requires humans.

1. AI systems require human training

Business managers who have implemented AI systems need information on how the system can benefit the company.  To understand how AI and machine learning work, one should be aware of what are the tools needed to effectively perform their work. It is no secret that AI can enhance productivity and minimize costs in a business but the impact can only be realized if there is a human input.

Data is an important aspect for AI to learn to tailor recommendations and solutions as required. The larger the data the better; but this alone won’t make meaning to the AI algorithm that needs training on what it should do with the data. This is where the human element becomes important. AI can only work it’s magic when a human tells it how to think.

At the point of point of writing, even the top tier Artificial Intelligence tech is currently only aiming to replicate (not outdo) the way the human brain functions.

2. The human element is important in some decisions

Sometimes there are jobs that the human element is just more effective than machine training. For instance in sales, a company can implement a system that can determine possible leads based on statistical data. However, for experienced sales agents, it is not just about the statistical probability and grouping potential possibility based on past data may not always be accurate for future use.

AI can leverage data available in a set framework to calculate behavioural scores, search patterns, and match scores to determine potential leads. However, it can only make sense of available data and will not see beyond what humans can see. Most importantly, it is also humans that feed these data points so in order for AI to work it’s magic..

3. Sometimes AI can pick undesirable training

There have also been instances where there have been AI failures. For instance, when Facebook opened its Messenger app for the development of chatbots several businesses looked at this as an amazing opportunity. However, the problem came when it had to do interactions and they failed. The chatbots can’t be trained or learn and thus they are considered to be stupid.

There was also Tay which was an AI-powered Microsoft chatbot for twitter. The chatbot was trained to even share hate speech, racists, sexist, and awful lines. The chatbot adopted and later began uttering these vile insults and even adopted Pro-Nazi and anti-feminist stances. 

While Artificial Intelligence as a whole contains so much potential, we are nowhere near the need of eliminating humans as a whole at least in the near future.

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