In the age of artificial intelligence, is human intelligence essential?

Today’s businesses are undergoing rapid transformation. It is not enough to rely solely on human wisdom to make decisions. As a result, business leaders are significantly increasing investments in artificial intelligence (AI) to drive better decision-making.

According to the 2022 IBM Global AI Adoption Index, AI applications will continue to grow at a steady rate in 2022, with more than one-third (35%) of companies reporting that they use AI in their operations, an increase from 2021 increased by 4 percentage points in the year.

Unlike humans, artificial intelligence can analyze, predict and solve business problems with unparalleled efficiency and accuracy. As a result, repetitive work becomes obsolete. This leads to a daunting concept – is artificial intelligence replacing human intelligence? The answer is quite the opposite.

With the help of artificial intelligence, some human tasks have been automated, such as analyzing huge data sets and providing customer service. Thus, freeing up human resources to focus on more creative aspects such as research, innovation and growth. Having said that, AI alone cannot achieve absolute autonomy without human help. The combination of effective AI systems and human intelligence will pave the way for future business success.

Success will be the combination of human intelligence and artificial intelligence

As artificial intelligence develops, it may become a "black box" that is difficult to decipher. Therefore, data scientists have started using frameworks to explain their models. Explainable AI allows human users to understand the intent, reasoning, and decision-making processes of machine learning algorithms, thereby increasing user trust in the model and its decisions. Furthermore, it promotes and ensures compliance with clear ethical principles regarding fundamental values ​​such as individual rights, privacy, non-discrimination and non-manipulation.

Take fraud detection in banking systems as an example. Suppose a fraudulent system denies a legitimate customer's credit card transaction. “Black box” AI models only provide a risk score without explanation. Explainable AI will help investigators understand why false positives occur and help further refine models.

Another vulnerability is that AI lacks emotion and the ability to make human decisions. As AI-led technologies continue to grow and evolve in the future, it is critical to put humans at the heart of all progress. We may be reaching a time when artificial intelligence can think for itself. But it will continue to rely on human involvement to make conscious decisions.

Take self-driving cars as an example, which use radio frequencies to determine objects around the car. Many factors could interfere with it, including radio waves from another self-driving car, causing an accident. This shows that without human involvement, artificial intelligence is limited.

So building the right foundation today is crucial. As a society, government and industry, we need to develop the right ethics, regulations and safeguards around AI to ensure that 100 years from now, the future of AI is one that benefits humanity rather than harms it.

Human intelligence augmented by artificial intelligence can lead to a future where artificial intelligence is more of an enabler than a disruptor. The focus should be more on developing “intelligent” systems rather than manual systems to help businesses succeed.

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