Artificial Intelligence is shaping our future. Several big organizations are working on AI and many small companies are incorporating it into their products or services. However, at a Google event, Andrew Moore, the vice president of Google Cloud said that Artificial Intelligence (AI) is stupid.
After that, a lot of popular names in the technology industry started sharing their views to clarify what exactly Andrew meant. He also added that “AI is really good at doing certain things which our brains can’t handle, but it’s not something we could press to do general-purpose reasoning involving things like analogies or creative thinking or jumping outside the box.”
So, Is Artificial Intelligence (AI) Stupid?
Though the question is quite fascinating, Jeremy Goldman, founder of the Fireband Group agree with the Moore. He said that Humans are completely behind the AI and we’ve just begun to make AI programs. He further explained that we are currently using AI for two purposes only.
- To simplify our current business points which usually involves repetitive tasks in a high number.
- To do things that are relatively easy if we proceed with human terms.
While the other areas like ‘creative thinking’ or ‘outside the box thinking’ are still impossible to explain and difficult to work upon. Also, we can’t use AI for every task as of now. Using AI for certain tasks actually slows us down, rather than speeds us humans up.
Overall, the fact is we can provide more computing power and data to our systems, but even after that, they will do the same thing. Artificial Intelligence and Machine learning can find and learn patterns, but they are not capable of becoming something new that think and take decisions like Human. Talking about the present time, there are basically 3 major limitations of artificial intelligence that are restricting tech giants to make something big.
Limitations of Artificial Intelligence (AI)
1. Data Hungry AI
Data consumption is one of the major limitations of Artificial Intelligence. Since the beginning of any AI program, it requires data. It doesn’t matter the program is in the training phase or moved to the execution stage, its hunger for data never gets satisfied.
If you are looking to implement AI into a program, the process goes like first, the software robots need to have some cognitive skills to become smarter with time. There are also robots with advanced cognitive skills who uses technologies like Machine Learning (ML), Optical Character Recognition (OCR), Natural Language Processing (NLP) and Robotic Process Automation (RPA) to extract the meaning of data confined in the documents. After that, other roles come into play like automating tasks that involve problem-solving or decision making and all that.
2. Narrow AI
Artificial Intelligence and its possibilities are already explained by many authoritative sources but Briana Brownell, the founder of PureStrategy.ai, a company that creates and deploys AI co-workers tried to explain its scope at the present time.
According to her, currently, most of the applications of AI are very, very narrow. When it comes to AI related to Image Recognition, we just need a large number of examples to make our program able to determine whether a photo is of a cat or a dog. But if you go for a close task like whether the photo is a Jaguar or a wolf, there are chances that the program may not identify it.
3. Emotional Intelligence
While AI is getting smarter day by day, we have reached a point where computational power or speed is no longer a limitation. It’s time to work upon emotional intelligence of AI so that it can communicate more like Humans.
Natural Language Processing (NLP) should be efficient enough to understand what the human is trying to say and his/her emotions behind it. In simple terms, the AI should understand the context of the conversation.
The problem is AI lacks emotional intelligence and so it’s unable to classify human feelings and moods into unique data points or profiles. However, things will begin to change in the next few years.
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Artificial Intelligence may seem stupid to many people right now, and it actually is. But the whole world is working on it, implementing it to various programs, exploring more possibilities and so I am sure it will become better day by day.