The future of AI and people is cooperation
The concept of artificial intelligence - AI is becoming more and more popular, meaning that this superior technology is gradually being implemented effectively in many fields as well as in all aspects of modern life. Industries and services, even on a small scale, are planning to deploy artificial intelligence to provide customers with better products. In general, the benefits that artificial intelligence brings to people's lives are too obvious and difficult to measure.
However, every time a new innovation emerges in the field of AI, fear relates to the prospect of a machine that can completely replace the work of people rekindling somewhere in forums, sessions. talk about technology. Although this is the fact that we are forced to adapt to living in a society where technology is reaching its peak stage, these fears sometimes tend to make people tend to ignore the cooperative attributes and the ability to "create jobs" that AI will bring to people in the future.
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Right now, it is possible to "boldly" assert that the most successful businesses in the future will be businesses that learn how to effectively combine the best attributes of machines and people (employees). to reap the optimal level of efficiency and innovation in the field in which you operate. In fact, the future of AI will largely depend on cooperation with human life as well as "breath". So how will this cooperation take place and how should it take place? We will discuss it now.
AI helps increase human productivity
In most business contexts, as in businesses at the present time, AI is almost incapable of making important decisions. However, artificial intelligence models are more than capable of supporting business managers by providing effective insights and assistance to ensure that their 'boss' can make decisions. faster and more accurate.
Simply put, there are countless tasks that AI can perform faster and more effectively than humans. According to researchers' estimates, we can generate up to 2.5 million million bytes of data every day. Although individual business activities produce only a very small fraction of that data, it is undeniable that trying to analyze data points is drawn from many different areas like the following. Needing, marketing and handling enterprise software programs is becoming increasingly difficult for people.
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This is when the AI expresses its value. Advanced machine learning technology enables AI models to easily analyze data points at a much greater rate than a flesh-and-blood person, while eliminating the risk of data entry errors that occur. popular during manual work.
Such AI systems can present data in comprehensive formats, helping to identify trends, opportunities and risks to improve business practices much easier. In fact, the trend of using artificial intelligence in data analysis related to business operations has left a significant impact in the corporate world. A large-scale survey conducted in 2016 revealed that up to 61% of business executives own innovative thinking that they are using AI to identify investment opportunities in the system. data systems that are easily missed if analyzed by people.
Although the AI may not be granted the ability to make decisions for important business tasks, its ability to analyze and deliver the amount of data without error and reliability has led to critical insights important contribution to completely change business activities.
- How did AI affect daily life?
AI's excellent automation capabilities make it more and more used to streamline tasks that were previously only handled by humans and at the same time allow 'rice-run' brains to spend more more time for other high-level activities. This fact can generally help companies operate more efficiently by reducing operating costs and at the same time significantly improving productivity. In other words, when AI technology continues to improve, human work efficiency will also be improved.
However, the biggest potential for AI comes from machine learning technology.
As AI learns more knowledge from new input data, it is becoming more powerful and capable of supporting more complex tasks and algorithms, thereby furthering opportunities and increase cooperation efficiency with people. Machine learning is helping AI applications to better understand the scope of support and even the context in which the request is made.
This will result in even faster and more efficient processing results, while also helping to overcome the common problems we see today, such as inadequate automated customer service systems. force to resolve complaints or requests in a complete and accurate way. However, even if these systems are more developed, there will still be many cases where human interaction is required to reach the desired optimal threshold. That's why there must still be cooperation between AI and people.
People will also help machines operate more efficiently
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As mentioned, the future of this partnership is not merely to require the AI to rationalize daily tasks or help us do better work. AI can only work effectively thanks to human ingenuity and that trend will be maintained for a long time. It can be affirmed, the future innovation and improvement of AI will largely depend on what people can offer.
As artificial intelligence researcher Russell Glenister explained in an interview with Business News Daily, unmanned cars only come true when it owns access to training data and GPUs. quickly, both of these are key factors. To train unmanned vehicles, developers will need to use a large amount of accurate data and speed is the key to carrying out the training process. 5 years ago, AI processors proved too slow to handle the above task, but the appearance of AI GPUs made it all possible. '
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Improving GPUs is not the only way for developers to continue to play an important role in helping AI advance to new heights. Human guidance will also be needed to help the AI 'learn' how to perform the desired tasks - especially for applications that require real-time human interaction.
You can see the reality in the AI virtual assistant utilities like Alexa or Siri. Amazon recently presented a new noise isolation technique based on artificial intelligence, which can improve voice recognition as well as Alexa commands by 15%, while minimizing errors. handle up to 81%. However, to achieve this 'achievement', researchers had to use public data sets containing 500,000 samples to train their machine learning models. Many similar processes have also been used to provide virtual assistants with distinct personalities.
As AI applications become more complex and interfering in everyday life, you will find there is an increasing need for individuals who can understand and interpret findings that are also determined by the machine. hooks created.
Monitoring of AI applications will also be an essential requirement to ensure that undesirable outcomes - such as discrimination and even racism in AI models - are discovered and remove from early, avoid incalculable consequences. No matter how smart AI becomes, human guidance is an indispensable element whereby the AI can find new solutions and accomplish better than the proposed function. Its out.
- AI engineer Facebook talks about deep learning, new programming languages and hardware for artificial intelligence
Again, although the AI offers countless opportunities for innovation and innovation, it is difficult to be able to gain the ability to fully and independently operate without the need for human intervention. A collaborative future will show the prospect of businesses, developers, engineers and consumers increasingly becoming more fully integrated AI into their work and daily life.
When people and AI work together, the ability to create will be truly limitless.
What do you think about the cooperation between AI and people? Please leave a comment below!
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