Artificial Intelligence - AI Applications, Advantages & Disadvantages
- Mehmood Umer
- 20-Jul-2021
- 269
Since the development of the digital computer in the 1940s, it has been demonstrated that computers can be programmed to carry out very complex tasks as, for example, discovering proofs for mathematical theorems or playing chess with great proficiency. Yet, regardless of ongoing developments in computer processing speed and memory capacity, there are no programs that can match human flexibility over wider domains or in tasks requiring everyday knowledge. Let's explore some useful applications of AI and Pros and Cons of the use of AI in our daily life, in the following article.
Artificial intelligence (AI), the capability of a computer-controlled robot or digital computer to execute jobs usually related to intelligent human beings. The term “Artificial Intelligence” is often applied to the project of developing systems endowed with the intellectual processes characteristic of humans, such as the ability to reason, discover meaning, generalize, or learn from experience.
On the other hand, some programs have attained the performance levels of human experts and professionals in performing certain specific tasks, so that artificial intelligence in this limited sense is found in applications as diverse as medical diagnosis, computer search engines, and voice or handwriting recognition.
While examples of artificial intelligence are numerous across the business, AI is still often perceived to be a promising, still emerging force.
AI is widely deployed. It is critical to the tech SEO platforms of many businesses, across finance, retail, healthcare, and media. AI and deep learning examples are innumerable that choosing the representative AI example below was a matter of picking among the excess.
While the examples of AI below are very different from one another, they all share one common trait: the more data they are fed, the more they learn. That is the very essence of artificial intelligence: a software system that learns based on input. That is the key difference between Big Data analytics and AI: Big Data can scan data and reveal trends, but AI can do this and also adapt in response to the input. FIVERR
The following example of artificial intelligence is leading the market – companies adopting AI in the years ahead will likely look to the examples below. ONLINE EARN
Use of Artificial Intelligence |
---|
|
The concept of a system that responds to customer input is not by itself an example of artificial intelligence. For example, those ads for shirts that follow you around the Internet after you have casually checked out shirts are not necessarily an advanced AI application.
However, in the case of Amazon’s recommendation system, it is a powerhouse of a transactional AI platform. You have likely observed its ability to learn – and keep learning – season after season. In essence, hordes of shoppers are “teaching” the Amazon AI system to better display likely items for sale. That is, to match
One item with another that the past has shown will prompt a sale. Also, to link semi-related concepts (like, say, light stands with photographic equipment).
On a related note, this kind of innovative AI system needs a vast computing platform to process all that data. You do not power a system like that with a small server farm. Amazon Web Services has at its disposal a world-leading computing platform.
The challenge with voice-activated assistants, which play an ever-growing role in business, is that they need to understand human speech. Even harder: they need to understand humans. That is where AI comes in. While the system engineers can build these voice assistants, they cannot embed the vast amount of human idiosyncrasy into them at launch. Therefore, these systems make heavy use of machine learning to enable them to get better and better at the exceptionally complex task of the human-to-machine interface.
Armed with AI, voice assistants will grow ever more capable of scouring the web, helping us shop, providing directions. There is an expectation that this voice technology will power in-home assistants to help care for the elderly, which is among countless other examples of AI voice recognition.
It is certainly one of the most active areas of artificial intelligence: using AI to enhance the emotional connection with customers in sales and customer service calls. To be sure, that is a final frontier of AI usage.
Cogito (Latin for “I think”) uses a key truth of human interaction: it is not only words that deploy meaning, but it is also the way those words are spoken, the mood, tempo, and the feel of them. Cogito software analyzes a conversation in real-time, providing clues and prompts about what is going right and wrong. Perhaps a speaker is cutting in too much, holding forth too long, or not responding quickly enough. The application provides color-based warnings and updates. The software analyzes hundreds of cues to determine the emotional quality of the conversation.
For those who say that AI will replace humans, Pandora’s AI system is an example of a system working with humans. To start, Pandora employs musically astute humans to analyze and categorize a song. Pandora looks at some 450 attributes of a song, from vocal style to rhythmic feel.
As the AI algorithm works, it incorporates countless recommendations from users, based on a body of user response to its song library. The AI system can then group and present songs in batches that make sense to masses of users – users who grew up with that style, in many cases.
Ireland-based Boxever targets the travel industry. Its cloud-based platform allows travel companies to create a single customer view that enables more effective marketing to that customer. Its goal is to improve the sales process by targeting customers individually. If AI can customize an interaction on a one-on-one basis, in theory, it can more capably serve (and sell to) that customer.
Boxever’s approach acknowledges that the key sector to compete in is customer experience. If a retailer wins that battle – by more carefully catering to an individual’s wants and needs – it wins the e-commerce war. Also, it is far cheaper to do this with intelligent software than human sales reps.
AI powers countless robots, including UC Berkely’s BRETT and the infamous MIT dog. An example of an AI-powered robot that’s gained media buzz is Sophia, who chatted and sang (albeit rather robotically) with Jimmy Fallon on The Tonight Show.
Apart from the pop culture buzz, smart AI robots come in a multitude of shapes and sizes. IRobot’s Roomba 980 vacuum cleaner employs AI to get a sense of the room it will be hovering up, from size to most efficient pattern to sweep the space. Let it go and it does all the work. The company claims that more than 10 million Roombas have been sold.
At the core of AI is the concept of learning. Using machine learning and other AI technologies, a software system gets smarter and smarter, without human assistance.
Certainly fighting spam is an area where machine learning is desperately needed. No human (or even a team of humans) could keep up with the torrent of spam. Gmail, for instance, deploys ML algorithms to filter (most of) the spam.
To do this, the spam filter tries to work faster (or at least keep up with) the spammers, who are constantly coming up with new and creative ways to cheat humans. The AI in the spam filter continuously scans for metadata, such as the location of the sender or keywords in the subject line. If it cannot learn, a spam filter cannot function more than a few days.
Part of the AI technology is using inputs from humans: One user's valuable coupon is another user’s spam. How that particular user categorizes a stream of mail must be part of the spam filter’s learning.
One of the key factors driving the growth of AI is the competition among deep-pocketed vendors to gain market share in these early days. In the case of home thermostat Nest, owned by Google, part of the goal is to build Google’s AI into the device – helping push back against the encroaching growth of Apple’s Siri and Amazon’s Alexa.
Nest uses AI to adapt to human behavior patterns, getting constant input clues and responding more accurately as it lives in the home. Homeowners make set the system manually for a period, and then Nest incorporates input on its own. In any case, smart home devices (a device connected to the Internet) are surely the key battleground in the battle for dominance of the AI market. Getting an entire group of smart home devices to act in concert – responding to the family, learning based on user behavior – is the future of AI in the home front.
Your FICO score (usually 300 to 850) rules your world, or it does when you are applying for a credit card or a loan. In the old days, human loan officers reviewed all those loan and credit card applications. While there, are still plenty of human loan officers, many decisions about credit cards – to accept a consumer’s application or not – are made by a machine learning system.
Again, learning is a core part of this process. Bank management – actual humans – can set parameters of whom loose or tight they want current credit standards to be. But they want their bank’s machine learning system to learn over time, to more closely identify which applicants are safe borrowers.
Your bank makes you a convenient offer: scan your check and deposit it with your mobile device. No need to visit the actual branch office. The problem: doing so requires a machine to read human handwriting, which is a messy and confusing endeavor even for humans.
Among other vendors, Mitek Systems specializes in software-based identity verification. It is AI technology that uses computer vision and machine learning to make mobile-to-bank transactions safe (or at least safer).
Mitek, for instance, employs a vision algorithm to classify countless ID formats in banking transactions. Core to this is Optical Character Recognition (OCR) software that scans documents and converts that data into an editable format. The OCR software can be adjusted with AI to accurately extract personal signifiers.
The major social media networks are a core driver of the development of artificial intelligence. Facebook in particular seemingly uses every aspect of AI. For instance, its algorithm defines your timeline, deciding to show or not show certain of your friends’ posts on your timeline. Facebook knows that if every one of your friends were displayed, your timeline would be so cluttered it would be off-putting. Therefore, the timeline algorithm learns who you interact with and whom you normally ignore. (So if you want to see more of a friend’s posts, you might want to like it).
Most important (to Facebook’s bottom line), the social network uses AI to help personalize the way it feeds you ads, so it has some measure of relevancy for its ad display. Notice that Facebook allows you to comment on an ad’s relevancy to your timeline; every user comment helps the system learn and become more finely tuned. Facebook and Google have a remarkably high percentage of the total online ad market, because of the way they use AI to fine-tune the display system.
Moreover, Facebook uses image recognition AI technology to identify the faces in a photo, so it can invite you to tag it. Not surprisingly, given how important photos are to Facebook, the company has invested heavily in facial recognition technology. That a machine can “read”, a photograph is one of the more remarkable advances in the current era of artificial intelligence.
The world of ride-sharing could not exist without AI and machine learning. Specifically, the price of the fare, the estimated arrival time, and the route it will take: AI figures all these out.
AI makes a vast number of computations on the fly; the amount and complexity of these computations would be impossible without an ML system that analyzed the situation and then routes the resulting data to users and drivers’ apps. (Also, of course, records it on the company own system; both Lyft and Uber possess an ocean of data about user patterns.)
In the future, these services foresee a period of driverless cars (though when this will happen remains vague at best). Without the element of a human driver, the process of running the system becomes a more purely logical machine learning computation. In theory, this would cause the ride-sharing services’ costs to fall, even beyond the savings from not needing drivers.
Artificial intelligence is complex. It uses a very complicated mixture of computer science, mathematics, and other complex sciences. Complex programming helps these machines replicate the cognitive abilities of human beings.
Merits of Artificial Intelligence |
---|
|
Artificial intelligence and the science of robotics can be put to use in mining and other fuel exploration processes. That, these complex machines can be used for exploring the ocean not only floor and hence overcome the human limitations.
Due to the programming of the robots, they can perform more laborious and hard work with greater responsibility. Moreover, they do not wear out easily.
Artificial intelligence helps us in reducing the error and the chance of reaching accuracy with a greater degree of precision. It is applied in various studies such as exploration of space.
Intelligent robots are fed with information and are sent to explore space. Since they are machines with metal bodies, they are more resistant and have a greater ability to endure the space and hostile atmosphere.
They are created and acclimatized in such a way that they cannot be modified or are disfigured or breakdown in a hostile environment.
Highly advanced organizations use ‘avatars’ which are replicas or digital assistants who can interact with the users, thus saving the need for human resources.
For artificial thinkers, emotions come in the way of rational thinking and are not a distraction at all. The complete absence of the emotional side makes the robots think logically and take the right program decisions. Emotions are associated with moods that can cloud judgment and affect human efficiency. This is completely ruled out for machine intelligence.
Computed methods for automated reasoning, learning and perception have become a common phenomenon in our everyday lives. We have our assistant Siri or Cortana to help us.
We are also hitting the road for long drives and trips with the help of GPS. The smartphone is an apt and everyday example of how we use artificial intelligence. In utilities, we find that they can predict what we are going to type and correct the human errors in spelling. That is machine intelligence at work. When we take a picture, the artificial intelligence algorithm identifies and detects the person’s face and tags the individuals when we are posting our photographs on social media sites.
Artificial Intelligence is widely employed by financial institutions and banking institutions to organize and manage data. Detection of fraud uses artificial intelligence in a smart card-based system.
In the medical field also, we will find the wide application of AI. Doctors assess the patients and their health risks with the help of artificial machine intelligence. It educates them about the side effects of various medicines. Medical professionals are often trained with artificial surgery simulators. It finds a huge application in detecting and monitoring neurological disorders as it can stimulate brain functions.
Robotics is used often in helping mental health patients to come out of depression and remain active. A popular application of artificial intelligence is radiosurgery. Radiosurgery is used in operating tumors and this can help in the operation without damaging the surrounding tissues.
Machines, unlike humans, do not require frequent breaks and refreshments. They are programmed for long hours and can continuously perform without getting bored, distracted, or even tired.
Monotonous and repetitive jobs can be carried out with the help of machine intelligence. Machines think faster than humans think and can be put to multi-tasking. Machine intelligence can be employed to carry out dangerous tasks. Their parameters, unlike humans, can be adjusted. Their speed and time are calculation-based parameters only. When humans play a computer game or run a computer-controlled robot, we are interacting with artificial intelligence. In the game we are playing, the computer is our opponent. The machine intelligence plans the game movement in response to our movements. We can consider gaming to be the most common use of the benefits of artificial intelligence.
Despite all the pros, there are cons of the use of AI, which is described below:
Demerits of Artificial Intelligence |
---|
|
Intelligence is believed to be a gift of nature. An ethical argument continues, whether human intelligence is to be replicated or not.
Machines do not have any emotions and moral values. They perform what is programmed and cannot make the judgment of right or wrong. Even cannot take decisions if they encounter a situation unfamiliar to them. Either they perform incorrectly or breakdown in such situations.
The creation of artificial intelligence requires huge costs, as they are very complex machines. Their repair and maintenance require huge costs.
They have software programs, which need frequent up-gradation to cater to the needs of the changing environment and the need for the machines to be smarter by the day. In the case of severe breakdowns, the procedure to recover lost codes and reinstating the system might require huge time and cost.
Do you want creativity or imagination?
These are not the forte of artificial intelligence. While they can help you design and create, they are no match to the power of thinking that the human brain has or even the originality of a creative mind. Human beings are highly sensitive and emotional intellectuals. They see, hear, think and feel. Their thoughts are guided by the feelings, which completely lacks in machines. The inherent intuitive abilities of the human brain cannot be replicated.
Replacement of humans with machines can lead to large-scale unemployment. Unemployment is a socially undesirable phenomenon. People with nothing to do can lead to the destructive use of their creative minds. Humans can unnecessarily be highly dependent on the machines if the use of artificial intelligence becomes rampant. They will lose their creative power and will become lazy. Also, if humans start thinking destructively, they can create havoc with these machines.
Artificial intelligence in the wrong hands is a serious threat to humankind in general. It may lead to mass destruction. Also, there is a constant fear of machines taking over or superseding the humans.
Based on the above discussion, the Association for the advancement of artificial intelligence (AAAI) has two objectives – to develop and advance the science of artificial intelligence and to promote and educate about the responsible usage of artificial intelligence. Identifying and studying the risk of artificial intelligence is a very important task. This can help in resolving the issues at hand. Programming errors or cyber-attacks need more dedicated and careful research. Technology companies and the technology industry as a whole needs to pay more attention to the quality of the software. Everything that has been created in this world and our societies is the continuous result of intelligence.
Artificial intelligence augments and empowers human intelligence. So as long we are successful in keeping the technology beneficial, we will be able to help this human civilization.
Unlike humans, artificial intelligence cannot be improved with experience. With time, it can lead to wear and tear. It stores a lot of data but the way it can be accessed and used is very different from human intelligence.
Machines are unable to alter their responses to changing environments. We are constantly bombarded by the question of whether it is exciting to replace humans with machines.
In the world of artificial intelligence, there is nothing like working with a whole heart or passionately. Care or concerns are not present in the machine intelligence dictionary. There is no sense of belonging or togetherness or a human touch. They fail to distinguish between a hardworking individual and an inefficient individual.
Creating artificial intelligence is perhaps the biggest event for humankind. If utilized and developed constructively, we can use artificial intelligence to eradicate poverty and hunger from the human race. The power of artificial intelligence that unintentionally causes destruction and damage cannot be ignored. What will help us control it better is research and in-depth study of the importance of artificial intelligence. Research alone can control the potentially harmful consequences of AI and help us enjoy the fruit of this innovation.
Sign up for free and be the first to get notified about new posts.