Artificial intelligence

AI: The Next Frontier of the Future

From social circles to social media, article intelligence (AI) is the latest trend and has even begun to influence the way people do things. With ChatGPT-3 as the flagship for the trend, Google has already responded with their AI ‘Bard’. Furthermore, Microsoft, GitHub, and countless others have also announced future plans for AI implementation or development. But the innovation that learning AI models promises still has some shortcomings in its current state.

Firstly, some of the functions AI should be capable of still have major flaws. Namely, ambiguous images are a large cause for concern within artificial intelligence. Facial recognition and mistaking a bald head for a soccer ball are a few of the many instances of this phenomenon. Furthermore, AI are often subject to the same subconscious biases and internal prejudices as the people who teach them. This poses a large problem when we expect AI to be entirely objective in nature when we use it. Similarly, the rise in AI utilization has led to an exponential 2600% increase in related incidents within the last 11 years. This means the technology is not working as intended and it requires allocating more effort to fix, which is exactly what AI was meant to decrease. AI needs humans, and this should be obvious.

However, the ultimate obstacle for this technology is emulating human emotion and physiological processes. AI in its current form has no will, desire, or ability to create in a meaningful manner. Basic human skills like empathy and a sense of collaboration are also unable to be programmed in. Furthermore, this technology seems to be within the confines of human definition and is currently unable to develop upon itself. Therefore, it’s hard to consider this true intelligence, but rather a meticulously designed program.

Despite these limitations, AI is still revolutionary for many of the things people are currently doing. The key to this drastic change and to increase overall effectiveness is to integrate AI with people. Normally, people have a certain amount of work they can do, which is slowed down by multitasking and dividing attention. However, AI does not have such limitations and thrives in a multitasking environment. This advantage is especially beneficial when the tasks are menial and straightforward in nature. Instead of having a person work on simple tasks, AI can do with quicker and with less effort. In turn, this frees up people to do more intricate and meaningful tasks. As AI comes closer to becoming true intelligence, they will also be able to handle more complex tasks with the same ability as well.

Ultimately, AI is a game changer across the board. However, if we want this technology to continue forging the future forward, it needs significant help. The human element remains undefinable, and it will continue to be a struggle for AI to pick up on it. However, the best chance AI has at emulating human emotions is through as much human interaction as possible. At present, it seems paramount to use AI as much as possible to allow AI to become as good as it truly can be.

What AI Needs To Learn From HumansWhat AI Needs To Learn From Humans
Source: Academic Influence

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