What is AI

Artificial Intelligence (AI), the ability of a digital computer or computer-controlled robot to perform tasks commonly associated with intelligent beings. The term is frequently 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 past experience. Since their development in the 1940s, digital computers have been programmed to carry out very complex tasks—such as discovering proofs for mathematical theorems or playing chess—with great proficiency. Despite continuing advances in computer processing speed and memory capacity, there are as yet no programs that can match full human flexibility over wider domains or in tasks requiring much everyday knowledge. On the other hand, some programs have attained the performance levels of human experts and professionals in executing certain specific tasks, so that artificial intelligence in this limited sense is found in applications as diverse as medical diagnosis, computer search engines, voice or handwriting recognition, and chatbots.

There are a number of different forms of learning as applied to artificial intelligence. The simplest is learning by trial and error. For example, a simple computer program for solving mate-in-one chess problems might try moves at random until mate is found. The program might then store the solution with the position so that, the next time the computer encountered the same position, it would recall the solution. This simple memorizing of individual items and procedures—known as rote learning—is relatively easy to implement on a computer. More challenging is the problem of implementing what is called generalization. Generalization involves applying past experience to analogous new situations. For example, a program that learns the past tense of regular English verbs by rote will not be able to produce the past tense of a word such as jump unless the program was previously presented with jumped, whereas a program that is able to generalize can learn the “add -ed” rule for regular verbs ending in a consonant and so form the past tense of jump on the basis of experience with similar verbs.

AI is transforming many aspects of our lives and has become essential for several reasons:

1. Efficiency and Automation:
   1. Task Automation: AI can automate repetitive tasks, reducing the need for human intervention. This is particularly useful in manufacturing, customer service, and administrative tasks.
   2. Process Optimization: AI algorithms can optimize business processes, reducing costs and improving efficiency
2. Data Analysis:
   1. Big Data: AI can analyze vast amounts of data quickly and accurately, providing insights that would be impossible for humans to glean in a reasonable timeframe
   2. Predictive Analytics: AI can predict trends and behaviours by analyzing historical data, helping businesses make informed decisions.
3. Personalization:
   1. Customer Experience: AI can provide personalized recommendations and experiences in real time, enhancing customer satisfaction. Examples include recommendation systems used by Netflix and Amazon
   2. Healthcare: AI can personalize treatment plans based on individual patient data, improving health outcomes.
4. Innovation and Problem-Solving:
   1. New Solutions: AI can solve complex problems that were previously unsolvable, leading to innovations in various fields such as medicine, climate science, and engineering
   2. Research: AI accelerates research and development by analyzing scientific data, generating hypotheses, and even conducting experiments.
5. Safety and Security:
   1. Risk Management: AI systems can detect and respond to security threats faster than humans, enhancing cybersecurity
   2. Health and Safety: AI-powered monitoring systems can improve safety in industries like construction, mining, and healthcare.
6. Improved Decision-Making:
   1. Business Intelligence: AI provides actionable insights and forecasts that aid in strategic decision-making
   2. Real-Time Responses: AI systems can analyze and respond to data in real time, crucial for applications like stock trading, autonomous driving, and emergency response.
7. Accessibility:
   1. Assistive Technologies: AI can help individuals with disabilities by providing tools such as speech recognition, real-time translation, and automutomated text-to-speech
   2. Language Translation: AI-powered translation services break down language barriers, making information more accessible globally.

AI technology

In the early 21st century faster processing power and larger datasets (“big data”) brought artificial intelligence out of computer science departments and into the wider world. Moore’s law, the observation that computing power doubled roughly every 18 months, continued to hold true. The stock responses of the early chatbot Eliza fit comfortably within 50 kilobytes; the language model at the heart of ChatGPT was trained on 45 terabytes of text.

What are the advantages and disadvantages of AI

• Everyone knows that AI gives businesses an edge. The Appen State of AI Report for 2021 says that all businesses have a critical need to adopt AI and ML in their models or risk being left behind. Companies increasingly utilize AI to streamline their internal processes (as well as some customer-facing processes and applications). Implementing AI can help your business achieve its results faster and with more precision.
• Similarly, using AI to complete particularly difficult or dangerous tasks can help prevent the risk of injury or harm to humans. An example of AI taking risks in place of humans would be robots being used in areas with high radiation. Humans can get seriously sick or die from radiation, but the robots would be unaffected. And if a fatal error were to occur, the robot could be built again.
• On the other hand, provided the AI algorithm has been trained using unbiased datasets and tested for programming bias, the program will be able to make decisions without the influence of bias. That can help provide more equity in things like selecting job applications, approving loans, or credit applications.
• Though if the AI was created using biased datasets or training data it can make biased decisions that aren’t caught because people assume the decisions are unbiased. That’s why quality checks are essential on the training data, as well as the results that a specific AI program produces to ensure that bias issues aren’t overlooked.
• Even the most interesting job in the world has its share of mundane or repetitive work. This could be things like entering and analyzing data, generating reports, verifying information, and the like. Using an AI program can save humans from the boredom of repetitive tasks, and save their energy for work that requires more creative energy.

Disadvantages of artificial intelligence

• The biggest and most obvious drawback of implementing AI is that its development can be extremely costly. Depending on what exactly you need AI to do, the cost changes. One estimate says that the cost for a fully implemented AI solution for most businesses ranged from $20,000 to well in the millions.

  The cost balances out later on down the line once the AI is fully implemented and can help streamline the workflow. But the up-front cost can be intimidating, if not prohibitive.

• The lack of creativity means AI can’t create new solutions to problems or excel in any overly artistic field. One scientific paper posited that at the present stage of AI development, it can be programmed to create “novel” ideas, but not original ones. This paper posits that until AI can create original and unexpected ideas, it won’t overtake humans in the ability to be creative, which means it will be hindered in its decision-making. If a company is looking for a new or creative solution to a problem, humans are better capable of providing that solution.

  When making sensitive decisions, humans inherently consider the emotional ramifications. AI doesn’t have that ability, making only the most optimal decision based on the parameters with which it has been provided, regardless of the emotional impact. Even AI that has been programmed to read and understand human emotion falls short.

• Likewise, the AI itself can become outdated if not trained to learn and regularly evaluated by human data scientists. The model and training data used to create the AI will eventually be old and outdated, meaning that the AI trained will also be unless retrained or programmed to learn and improve on its own.
• This is yet another disadvantage many people know immediately, thanks to many headlines over the years. As AI becomes more commonplace at companies, it may decrease available jobs, since AI can easily handle repetitive tasks that were previously done by workers.

Now, many reports show that AI will likely create just as many new jobs as it makes obsolete , if not more. But then you run into the problem of having to train humans on these new jobs, or leaving workers behind with the surge in technology.

t’s important for businesses to know the disadvantages inherent in using AI, however it is equally as important to move forward with utilizing AI. Knowing the disadvantages will help the deployer to solve these problems, allowing for a better, more efficient and ethical use of AI in the workplace.

Ready to use AI in your business? Learn how Tableau uses AI analytics to equip our users with the best possible data, allowing them to make informed decisions about their business.