Despite the advances in artificial intelligence (AI), it still has its limitations that require human intervention for optimal performance. In this article, we will explore the reasons why AI needs human intervention to overcome its limitations.
AI lacks common sense
AI has no common sense, which makes it difficult for it to deal with changes in circumstances that are not straightforward. Consider the following example; an AI-powered car may be able to recognize pedestrians on a well-paved sidewalk. But, the same AI-powered car may not be able to react correctly when the pedestrian pops out of a parked car in the middle of the road. Human intervention is necessary to guide the AI to handle the unexpected scenario.
AI is limited by data
AI algorithms rely heavily on data to make decisions. However, AI models can only make predictions within the range of the data within their training sets. For example, an AI algorithm may be trained on data from a particular region and cannot be relied on to make accurate predictions on data from another region. Human intervention is required to verify and correct the AI's predictions.
AI cannot analyze context
AI cannot always understand context, especially when the context is not explicitly defined. For example, an AI-powered language translation tool may not recognize the difference between 'I have a cold' and 'I have a cold drink'. Human intervention is needed to ensure correct interpretation.
AI cannot replicate human intuition
AI lacks the understanding and intuition that comes from human experience. In situations that require judgment calls and subjective evaluation, AI may not be able to provide the desired output. In such circumstances, human intervention is required to ensure optimal performance.
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