Artificial Intelligence AI

Artificial intelligence is a tool that should be used ethically. Essentially, artificial intelligence is a machine learning programme in which a machine with embedded AI learns independently. Marvels such as Google’s search algorithm and self-driving cars are only possible with machine learning programmes. Undoubtedly, renowned personalities like Stephen Hawking and Tesla & SpaceX founder Elon Musk have suggested that artificial intelligence might become dangerous in the near future due to its rapid growth, but it could take 5-7 years, or a maximum of 10 years.

Artificial Intelligence - The Next Big Revolution

Source – software.intel.com

Types of “Artificial Intelligence”

There are primarily two main types of artificial intelligence: general and applied. Artificial General Intelligence (AGI) aims to learn any intellectual task that a human can learn. It is often the focus of some futuristic studies and a common topic in science fiction. In contrast, applied AI is frequently used in various industries such as management, education, and engineering. It represents the evolution of current AI tools and systems being used within social, cultural, and economic norms.

Overheard Things About AI

We have all heard utopian views about artificial intelligence and machine learning enabling robots and autonomous weapons to lead to devastating consequences. However, such scenarios are still far from being realised. Of course, there are drones capable of taking off by themselves, flying into a war zone, attacking a target without human interaction, and returning home safely. This is something we need to address with ethical consideration.

In a broader context, what does technology mean? We sought the opinions of leading figures in AI research to understand the most significant misconceptions surrounding artificial intelligence, as well as their predictions and hopes for the technology.

In 2017, Elon Musk made headlines by describing AI as a “fundamental risk to existing civilisation”. In contrast, Facebook CEO Mark Zuckerberg labelled such warnings as “pretty irresponsible”.

More recently, Google CEO Eric Schmidt suggested that the answer to mitigating AI risks is to regulate it: “The example I would offer is, would you not invent the telephone because of the possible misuse of the telephone by evil people? No, you would try to find a way to police the misuse of the telephone.” He addressed this at a VivaTech conference in Paris.

The reality is less dramatic. There is no doubt that AI has the potential to be both destructive and transformative. However, in neither case does it reach the extremes portrayed by the mass media and entertainment industry.

Prof. Gary Marcus, NYU, and former CEO of machine learning startup Geometric Intelligence, writes:

“I think the biggest misconception around AI is that people think we’re close to it. We’re not anywhere near that. We’ve learned to engineer certain narrow problems like speech recognition very well. We’ve done that in ways that we couldn’t have imagined five or ten years ago.

But the idea of having machines that can reason about the world in the way that human beings can… I don’t think we’ve made any significant progress in that at all. Humans can be incredibly flexible – they can learn something in one context and apply it in another. Machines can’t do that.”

Productivity of Artificial Intelligence

AI is being used effectively in some businesses to enhance the quality of service and produce better products.

The challenge lies in not using AI in a non-transparent manner or using incorrect data, which could result in a biased system. We must also avoid systems that manipulate the outcomes of general elections, as seen in the case of Facebook using Cambridge Analytica. We need to use data transparently, with trust and protection.

  1. AI is significantly assisting the medical industry as well. Some AI machines help monitor human neurological disorders and simulate the human brain’s functionality. A popular medical application of AI is radiosurgery, which aids in operating on various types of tumours without damaging the surrounding tissues.
  2. AI’s machine learning can process a vast amount of data, overcoming human limitations, especially in performing repetitive tasks that can be tedious for humans. These jobs don’t require much intelligence but can be done using simple AI algorithms.
  3. AI plays a significant role in our everyday applications too. Nowadays, smartphones have become our fourth necessity, and whether we realise it or not, we are enjoying the benefits of AI. Digital assistants, from iOS’s Siri to Cortana and Google Assistant, all rely on AI algorithms. Today, many luxury cars like Chrysler, Volvo, and Cadillac use AI algorithms to scan the road and adjust the suspension for the next 10 metres.

Marvels yet to be achieved by Artificial Intelligence

AI is considered one of the greatest human achievements. As Professor Stephen Hawking said, “Success in creating AI would be the biggest event in human history. Unfortunately, it might also be the last, unless we learn how to avoid risks.” In the near future, AI will take care of our well-being and health more closely than ever before. Numerous projects are predicted to be shut down simply because they are too costly.

However, more money is being invested in AI projects than ever before. A common misconception is that AI will eliminate jobs; while it may destroy some jobs, it will ultimately create more. Imagine if billions of computers were integrated into a massive common protocol; there would be less need for written mail over email, and people would buy fewer newspapers and shop online more.

These obvious changes will occur, but a slew of unpredictable changes will also lead to the emergence of new careers, such as online marketers, web developers, data scientists, and more.

In my opinion, the best prediction about artificial intelligence is portrayed by the British television series “Black Mirror”, which consists of satirical tales exploring techno-paranoia. Instead of depicting AI as destructive machines, it demonstrates how we might destroy ourselves through the extensive use of technology.

AI is currently helping us create intelligent reports in various software widely used in both small industries and large enterprises. Numerous time-tracking tools for designers and employee monitoring software include AI reports, which give employers a better idea of their employees’ performance.

In terms of cybersecurity or attacks, AI will bolster existing tools and machines. AI will help update algorithms and encrypted credentials, and might even assist in predicting an attack before it occurs, with mild warnings learned from previous incidents.

Overall, experiencing AI on a colossal scale will be an intriguing endeavour.

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