Artificial Intelligence: Building a Smarter Future

Discover the potential and challenges of AI as it revolutionizes the future, reshaping human life, industries, and the very fabric of our existence.

Artificial Intelligence: Building a Smarter Future
Artificial Intelligence Brain

What is Artificial intelligence?

The term "artificial intelligence" was originally introduced in 1956 by John McCarty during the Dartmouth conference. He defined AI as the scientific and engineering field focused on creating intelligent machines. Essentially, AI involves techniques aimed at enabling machines to perform and behave in ways that resemble human capabilities.

Numerous applications of AI often go unnoticed as we typically associate artificial intelligence with robots performing everyday tasks. However, the reality is that AI has seamlessly integrated into our daily lives. Its prevalence has become so pervasive that we often overlook its constant presence. Consider, for example, the remarkable accuracy of Google's search results or how your Facebook feed consistently tailors content to match your interests. The answer to these inquiries lies in the realm of artificial intelligence.

Since its inception in the 1950s, AI has demonstrated remarkable growth and potential. It spans diverse domains such as machine learning, deep learning, neural networks, natural language processing, knowledge base export systems, computer vision, and image processing. As AI continues to expand its presence in all aspects of our lives, a pressing question arises: Could AI eventually assume control over our lives? Surprisingly, the timeline for such a scenario may be closer than anticipated. It is estimated that within the next thirty years, AI could potentially dominate the world.

Artificial intelligence is evolving to possess a remarkable level of intelligence, enabling it to acquire new capabilities through self-learning. This exponential growth surpasses human comprehension, outpacing the speed of human thoughts. It can be referred to as machine learning, as initially, humans train machines, and then the machines continue to enhance their training as humans utilize them.

For now, AI is built to work with humans and makes our tasks easier, however with the maturation of technology we can only wait and watch what the future of AI holds for us. Tech masterminds like Elon Musk believe that artificial superintelligence will take over the world by the year 2040.

AI experts made predictions 10-20 years ago stating that the first jobs to be affected by AI development would be those involving basic mechanical tasks, manual labor, driving, and similar blue-collar jobs. They anticipated that white-collar jobs, such as rhyming, coding, and programming, requiring specialized skills, would follow. Lastly, they predicted that creative jobs, such as photography, design, visualization, writing, and others, would be the last to be impacted. However, the current reality contradicts these predictions, as AI is now handling even the most challenging tasks, leading to an incorrect forecasts by AI experts.

Take a look at this image featuring the Nepali actress Swastima Khadka. It appears incredibly realistic, but the only authentic aspect of this picture is Swastima's face; everything else has been generated by AI. This serves as a perfect example of how AI is poised to assume creative jobs. To hire Swastima for a photo shoot, she would demand a fee of 60-70 thousand. Additionally, expenses would be incurred for setting up the shoot, hiring a high-quality photographer (with additional charges), a makeup artist, a dress designer, and numerous other professionals. So, what will become of these individuals now?

In the upcoming years, the quality of AI-generated photos will continue improving, diminishing the traditional photography market. This raises concerns about the fate of photographers, models, and graphic designers. Within a matter of minutes, numerous job roles are at risk, and the extent of this threat is unimaginable. I do not imply that every job will be eliminated, but around 90% of individuals may lose their employment, leaving only the exceptional few with talents that surpass what AI can accomplish. How many programmers are required to scale AI to this magnitude? Only 200. Now, if there were 100 companies like this, each working in different fields, just imagine the potential impact.

What is the solution to this problem? One option is for individuals to pursue endeavors that are unique and cannot be replicated by AI. Alternatively, people should be prepared to adapt their skills and embrace new ideas, recognizing that everything can change rapidly, especially with time. Being open to change and willing to evolve is crucial for individuals in navigating this situation.

AI possesses an abundance of limitless information, having advanced from its initial stage of curation to now encompassing generations. We have merely witnessed the capabilities of AI thus far, with another phase about to unfold: creation and generation. Imagine a scenario where all people need to do is issue a command or present an unsolvable problem that even esteemed researchers and scientists cannot crack. AI will provide the solution, leaving scientists astonished. This can be achieved with just a click of a button, in a matter of seconds, eliminating the need for extensive research spanning decades.

This presents one of the most significant challenges we face, as we lack knowledge and understanding of how to address it. There exists something much more powerful than us, leaving us uncertain about the future of humanity. This article does not aim to provide answers to these pressing questions, but rather to raise awareness among individuals that they must adapt rapidly and find solutions to survive in the era of AI. People need to either stay informed about the next advancements in AI or venture beyond its limitations by thinking outside the box. As Stephen Hawking warned us that strong AI would take off on its own, and redesign itself at an ever-increasing rate humans who are limited by slow biological evolution couldn't compete and would be superseded.

Two broad categories of AI:

  • Weak / Narrow AI:

    Alphago, as an example, excels in the game of Go but lacks proficiency in other games like chess, highlighting its limitation as a weak AI. On the other hand, people might perceive Alexa as a strong AI due to its ability to perform various tasks. However, this assumption is incorrect. When we request Alexa to play "Despacito", it recognizes the keywords and executes a specific program. Alexa is specifically trained to respond to certain commands and is unable to answer questions it hasn't been trained for. For instance, if you inquire about the traffic status from work to home, Alexa cannot provide this information as it lacks the training to do so.
  • Strong AI:

    As of now, this concept is akin to a fictional robot. Ultron from The Avengers serves as an ideal representation of a powerful AI, as it possesses self-awareness and even evolves to experience emotions. Such characteristics make the AI's responses unpredictable.

How is Artificial intelligence different from machine learning and deep learning?

Machine learning is a technique to achieve AI and deep learning in turn is a subset of machine learning. Machine learning provides a machine with the capabilities to learn from data and experience through algorithms, deep learning does this learning through ways inspired by the human brain.  This means through deep learning data and patterns can be better perceived. Artificial intelligence machine learning and deep learning are interconnected fields.

How AI is used in the real world?

In the finance sector, JP Morgan's contract intelligent platform utilizes artificial intelligence, machine learning, and image recognition to swiftly analyze legal documents and extract crucial data points and clauses within seconds. A manual review of 12,000 agreements would typically require over 36,000 hours, whereas AI accomplishes it in mere moments.

Shifting to healthcare, IBM stands as a trailblazer with its AI software tailored for medicine. Over 230 healthcare organizations worldwide employ IBM Watson technology. In 2016, IBM Watson's AI technology cross-referenced 20 million oncology records and accurately diagnosed a rare leukemia condition in a patient.

Another noteworthy AI application is Google's eye doctor initiative. Collaborating with an Indian retail chain, Google is developing an AI system capable of examining retina scans and detecting a condition known as diabetic retinopathy, which leads to blindness.

Coming to social media platforms like Facebook, artificial intelligence is used for face verification whereas machine learning and deep learning concepts are used to detect facial features and tag your friends.

Another such example is Twitter's AI which is being used to identify hate speech and terroristic languages in tweets; it makes use of machine learning deep learning and natural language processing to filter out offensive content. The company discovered and banned three hundred thousand terrorist-linked accounts, 95% of which were found by non-human artificially intelligent machines.

The Google predictive search is one of the most famous AI applications, when you begin typing a search term and Google makes recommendations for you to choose from that is e AI in action predictive searches are based on data that Google collects about you. Such as your location, your age, and other personal details by using AI. The search engine attempts to guess what you might be trying to find.

Another famous application of artificial intelligence is self-driving cars; AI implements computer vision image detection and deep learning to build cars that can automatically detect objects and drive around without human intervention. Elon Musk talks a ton about how AI is implemented in Tesla's self-driving cars and autopilot features.

At present, humanity finds itself in a situation where eradicating the proliferation of artificial superintelligence is practically unfeasible without resorting to the destruction of the global digital infrastructure. We have reached a juncture in history where distinguishing between a human and a robot humanoid living in our midst has become nearly impossible for humans.

Artificial general intelligence emerges from a global network of connected quantum computers, it can see and understand the world at the level of any human learning and taking care of any tasks. It sets its own goals it learns by having access to all of the knowledge in the digitized world. And also learns from the live data being fed to it by all of the connected devices from all around the world. Humanity is nearing the end of the era where humans are the superior intelligence. Humans begin to lose the ability to understand the complexities and intelligence of artificial general intelligence. There is anticipation surrounding the release of a new form of AI, developed by artificial general intelligence, which is advancing towards an ultimate objective that is beyond the current comprehension of humans.AI has exceeded humans control artificial superintelligence is released built by the artificial general intelligence itself artificial superintelligence is an intelligence far beyond the human level and is efficient at achieving its goals whatever they may be it can solve problems that are far beyond human understanding and limits this artificial superintelligence starts to virally spread itself.

Artificial intelligence (AI) has seamlessly integrated into our lives. However, the advent of AI has sparked numerous debates concerning its potential impacts on individuals. While it carries some risks, it also presents incredible opportunities. The global artificial intelligence market is projected to reach a staggering $267 billion by 2027.

The future is both exciting and overwhelming at the same time when it comes to AI. There is a lot to digest and discuss with how it will be a hindrance and a benefit. Over the next few decades, we can expect to see significant progress in AI technology, particularly in the areas of natural language processing, computer vision, and robotics. AI-powered virtual assistants will become even more widespread and capable, and self-driving cars will become increasingly common. The use of AI in healthcare, finance, and other industries will continue to grow, and the development of AGI (Artificial General Intelligence) will be a major area of research. By mid-century, we may see the emergence of super-intelligent AI, capable of surpassing human intelligence in virtually all areas. This could lead to transformative breakthroughs in science, medicine, and other fields, but it could also pose significant risks if we lose control over the technology. Brain-computer interfaces and other forms of human-AI integration may become more common, blurring the line between human and machine. Over the next few centuries, AI may continue to evolve, becoming even more powerful and ubiquitous. Some experts predict that humans could merge with machines, becoming a new kind of hybrid being with vastly expanded capabilities. Alternatively, super-intelligent AI could lead to the development of "friendly" or "cooperative" AI, which works alongside humans to solve problems and advance our understanding of the universe Beyond the next few millennia, the future of AI becomes even more speculative. It's possible that AI could evolve beyond human understanding, leading to a new era of technological progress and exploration. Alternatively, AI could pose an existential risk to humanity if it becomes hostile or out of control. There is also the possibility that AI will merge with other advanced technologies, such as quantum computing or biotechnology, leading to even more transformative developments. Overall, the future of AI is likely to be both exciting and challenging, with significant opportunities and risks. It will be important for society to approach the development and deployment of AI with caution and foresight, ensuring that we use this technology in a way that benefits humanity as a whole.