Artificial Intelligence - Essay Example

ARTIFICIAL INTELIGENCE.

Artificial intelligence is a computer science branch that deals with developing and using programmed machines to carry out functions and tasks that usually require human skills such as decision-making, speech, and visual perception. Artificial intelligence proves to be a more reliable partner to humanity as its world-changing potential in space exploration, art creation, and counter-terrorism becomes more apparent. However, intelligent machines also have challenges that will have to be dealt with first to achieve their full potential. Some of the challenges include;

Lack of computer power.

For the machines to learn and develop human-like intelligence, a massive number of calculations are needed in a short time to ensure smooth running and quick decision making. It is a technology that calls for very high processing power. The answer to this obstacle most likely lies in creating next-generation computers like quantum computers, designed to work best with subatomic phenomena like entanglement to process data faster than the current generation of computers. Although we are currently making huge strides towards that direction using cloud computing, we still need to figure out quantum programming models because they are different from those we currently use (Harkut & Kasat, 2019).

Small support base.

Statistics show that there is no enough use of artificial intelligence in the market. This kind of data means no organization will be willing to invest in artificial intelligence without the assurance of a market base that is willing to support the initiative. In simple terms, I would say that the lack of enough information about this technological evolution means there are not enough people who know how to use and supervise machines capable of thinking and learning independently.

Building Trust.

People feel uncomfortable with this idea as they feel like they were not involved in the decision-making process. For example, people have raised concerns about machines' inability to make unbiased decisions since they are mostly programmed to give a specific type of feedback. They also believe that machines are incapable of upholding morality or showing empathy since they can't tell the difference between good and evil. The average human does not understand the complexity that comes with artificial intelligence, such as multi-layered neural networks, so basing arguments on things that people don’t understand is obliviously going to cause trouble (Wischmeyer & Rademecher, 2019).

Data privacy and security.

For the machines to learn, make decisions, and improve their efficiency, they depend on vast amounts of data, which in most cases, is usually personal and sensitive. The availability of this data often leaves them prone to identity theft and data breaches. However, the European Union has put the General Data Protection Regulation in place to ensure that information is completely secured. This decision was made after customers created awareness regarding the increase in decisions made by machines.

Lack of concrete proof.

The organizations working on artificial intelligence products have struggled to demonstrate their achievements in AI technology; hence people have been skeptical about whether the machines can be trusted with critical decisions or not. The only solution is improving the devices to be more transparent and provable.

Algorithm bias.

The problem with machine intelligence is that their effectiveness is usually determined by the data they are fed. Bad data usually leads to issues like race, gender, ethnic or communal bias. For instance, if a preference is hidden in proprietary algorithms that deal with crucial things like loans or bails, it could lead to bad ethics or unfairness (Harkut & Kasat, 2019).

Summary of advice to executives about AI by McKinsey & Company.

From the videos, it is clear that a change in how we do things is inevitable. The experts emphasize that there should be a criterion for going about the changes, like addressing the pros and cons of introducing artificial intelligence. Li Deng, chief AI officer Citadel, talks of embracing modern AI capabilities and addressing business-specific problems and not just what benefits the AI, industry stakeholders.

The aspect of preparing people and equipping them with the necessary skills they will need to be a link between technology and the business world is also highlighted by Mohak Shah, lead expert data science Rosch Centre for Artificial Intelligence, North America. This preparation is necessary because the machines will depend on humans to program them with the right information to maximize their performance.

Lack of enough talent in the AI field, as discussed by Adam Coates director, Baidu Research Silicon Valley, is also an issue. He highlights the absence of engineers who know how to apply machinery algorithms with a high skill level as a huge problem. He advises that companies should invest in training machine learning teams but is optimistic that the problem will be solved with time.

Rajat Monga Engineering director TensorFlow Google sees AI as a powerful tool that, just like the internet, can be utilized to bring about a lot of change. His advice is to understand that and include it in plans like customer relations and management.

Gary Bradski, chief technology officer Arraiy, on the other hand, advises everyone to not take the evolution of technology for granted because the rate at which its spreading is too fundamental to be ignored.

Major drivers of AI.

Before the current state of technology that we are currently in (the third wave), there were previous attempts (the first and second wave) to introduce artificial intelligence. Still, they were not successful because back then, technology and computing power weren't there. Today the world has made considerable strides towards technological advancements, and below are some of the main drivers of AI;

Machine learning. Over two decades ago, Artificial intelligence evolved into machine learning, where data took the central position, and people started learning the importance of data. This discovery left a considerable impact in the world of technology as humans started showing machines how to understand and implement processes on their own. A good example is the driverless cars capable of navigating the roads and getting to the destination on their own.

With data came the computing power, which is cheap and powerful. Internet and mobile phones also came about, which meant more people collecting all forms of data, including images and voices. With access to data, now people came up with other techniques to make things easier for them. For example, from 2012, the world experienced a significant improvement in technology. Where something that could be built with steep learning technology took off, became much more powerful, and surpassed the previous technology.

Deep learning has enabled machines to understand and comprehend the world in new ways that have even outshined human capabilities, which was not the case until recently. For example, the cognitive system in the machines is getting better at distinguishing similar-looking objects. While it may not be good enough yet, it shows massive improvement on where it used to be and where it is now.

AI-related products and services of Nuance.

Nuance software has played a huge part in revolutionizing how global market leaders relate to their customers through biometrics, automatic speech recognition, text to speech, and natural language understanding. It has not stopped there; it expands and grows as more organizations are opting for AI products' convenience. Dragon voice recognition software, for instance, enables users to use their voice to create documents that are more accurate quickly and more efficiently. This software ensures increased productivity, given that, in most cases, speaking is faster and more accurate than typing.

Dragon voice recognition gives business professionals like bankers and financial service providers flexibility in doing their jobs. There is no limit to how much you can speak and where you can speak. This technology ensures that their primary focus is always on the customers and not the equipment as they don't need to physically record their conversations. It also helps them maximize their profits due to its affordable subscription-based pricing.

The software is also easy to install, maintain, and scale while ensuring security and confidentiality in public sector settings. It is a one-click installation with no complex configurations. It also features an automatic update, which reduces your employees' workload and ensures users get a smooth experience. You only need Microsoft azure to position it on the server-side, and it gets the job done with ease.

It also tremendously increases job satisfaction by liberating the workers, especially those in the social service industry, to focus more on solving issues raised by clients instead of spending more time on administration. Law enforcement also benefits from this technology, with officers quickly recording incident reports and other detailed documentation needed by prosecutors for advance criminal proceedings.