Addressing the myths about Artificial Intelligence

Addressing the myths about Artificial Intelligence

Authored By admin

January 7, 2022

What is Artificial Intelligence?

Artificial intelligence (AI) aims to mimic human intelligence processes by developing and applying algorithms integrated within a dynamic computing environment. Artificial intelligence, simply put, means making computers act and think as humans do. 

There is much more to AI than its formats and functions. It has to do with the process and the ability to think and analyze data in a powerful way. 

AI is one of the most exciting topics in science and technology right now. Many of the world’s most brilliant minds have said that it has the potential to revolutionize every aspect of our lives.

The hype surrounding artificial intelligence makes it easy for people to be misled by popular myths and misconceptions. Below are a few myths about artificial intelligence you should be aware of:

  • AI doesn’t need Human participation.

Artificial intelligence and humans are interdependent. AI’s greatest value lies when it enhances human capabilities. Additionally, AI depends on people to provide the correct data and work properly with it. Artificial intelligence usually provides recommendations rather than answers, which an actual person can weigh to arrive at a final decision. Thus, artificial intelligence is no different from other technological advances in that it improves human performance and process efficiency.

  • AI and Machine Learning are the same.

Despite being closely related, the technologies are not identical. A primary goal of AI is to develop machines that can simulate the mental processes associated with thinking and reasoning. Meanwhile, machine learning helps machines generate desired output by learning from given data. As AI aims to develop machines that mimic human behavior, machine learning aims to make machines learn like humans.

  • AI can solve and comprehend any data.

For an AI system to function properly, it requires carefully curated, high-quality data. Any system that uses bad data will produce bad results. It is more important to have the right data than to use the correct algorithm.

  • AI Needs Investment

The resolutions of artificial development seem highly scientific and complex. The inclination is that only large companies, like Google, Amazon, or Apple, with expert teams and billion-dollar budgets, can install AI.  However, many smart tools are already available for a broad range of organizations implementing AI in their workplaces. 

  • AI Systems are Complicated

The common belief is that most AI systems are highly complicated and are difficult to explain. However, some AI systems are simple and easy to understand, like many human-based processes and traditional software.

  • AI will steal Jobs

Over the centuries, technology has threatened jobs and displaced workers. Technology augmentation improved human capabilities. Many jobs were lost, but more were added, even if the skills required were different.  Instead of complete automation and replacement, AI should be seen as augmentation. The human element will always play a part in interacting with machines to some extent.

  • AI will surpass human intelligence.

Despite artificial intelligence systems achieving human levels of performance as well as sometimes surpassing them at increasingly complex tasks, they remain narrow and brittle with little true agency and creativity. While techniques like transfer learning allow AI systems to address multiple problems, machines that possess human intelligence remain far off.

  • AI is Self-learning

AI is often viewed as a magical thing that improves organically. Today, most ML systems are trained by showing many past examples, which creates a general understanding of the past. As it runs in production, the software uses its knowledge to judge new observations it has never seen before. To achieve this, engineers must be involved, and some additional tuning must be done.

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