AI has been accused of taking over many human jobs, but is it really as efficient as humans? Read on to know them all.
Although AI has made great strides in recent years, it is still constrained in several ways. This article will explain the limitations of AI at the present time. Read on!
While most AI systems receive extensive instruction to address certain challenges, pioneers in the field are working to advance the technology to the point where it can do several jobs at once. Recently, Google has made great progress in this direction with the Routines feature for Google Assistant. However, in this case, the AI is doing several discrete tasks (such as turning on lights or distributing reminders) in response to a single human instruction. Let’s simply say that current AI isn’t smart enough to handle a sales analytics dashboard, an email from a customer, and taking notes during a quarterly teleconference with the sales team.
Defend Its Choices
The “explainability” of AI is a major issue. Consumers of AI-powered goods are unlikely to know precisely which information the AI utilizes for decision-making, even though the AI delivers answers and recommendations based on the data, algorithms, and models that it employs during its learning process. Does the AI “see” a mouth, eye, or nostril in the image before deciding whether or not it portrays a human being? It also gets more challenging to describe in human words how AI arrived at a particular choice when data models grow in size and complexity, as was pointed out in a recent essay published in McKinsey Quarterly.
When making a choice, particularly one that might have fatal consequences for a living being, AI technologies have no way of knowing if they choose the “right” thing or the “wrong” thing. Should the autonomous automobile move to avoid hitting the concrete barrier and killing four people, or should it go straight and kill children and pets in the crosswalk? The correct response is. Is there an acceptable response? Not much, because it’s bad news either way.
Cannot Feel Emotions
AI can’t comprehend human emotions for the same reason it can’t pass moral judgment. An AI-powered chatbot may apologize for an error with the customer’s order and say things like, “I’m sorry for learning about the situation. However, the machine is not truly sorry, and being a robot, it cannot possibly understand irritation or any other human feeling.
Cannot Be Creative
As with so many questions involving AI, it depends. In reality, AI has already been used to create artistic works like music and visual art. Those achievements, however, could only have been accomplished with the help of human programmers. Thus, genuine, unprompted inventiveness continues to be uniquely human.
Eliminate the Need for Any Human Labour
AI orders of magnitude quicker at many tasks than humans. In addition, it can handle data-related jobs that the human brain just can’t. Jobs that may be automated, such as just data input, may be lost due to the increased use of artificial intelligence in the workplace. On the other hand, AI can free up humans to focus on more relevant and fascinating activities. Therefore, it might be argued that people’s hesitation to try out AI and discover how to use it as a useful aid in the office and beyond is the technology’s greatest restriction.