What Is Artificial Intelligence (AI)?

Artificial intelligence (AI) refers to the simulation of human intelligence by software-coded heuristics. Nowadays this code is prevalent in everything from cloud-based, enterprise applications to consumer apps and even embedded firmware.

The year 2022 brought AI into the mainstream through widespread familiarity with applications of Generative Pre-Training Transformer. The most popular application is OpenAI’s ChatGPT. The widespread fascination with ChatGPT made it synonymous with AI in the minds of most consumers. However, it represents only a small portion of the ways that AI technology is being used today.

The ideal characteristic of artificial intelligence is its ability to rationalize and take actions that have the best chance of achieving a specific goal. A subset of artificial intelligence is machine learning (ML), which refers to the concept that computer programs can automatically learn from and adapt to new data without being assisted by humans. Deep learning techniques enable this automatic learning through the absorption of huge amounts of unstructured data such as text, images, or video.

Understanding Artificial Intelligence (AI)

When most people hear the term artificial intelligence, the first thing they usually think of is robots. That’s because big-budget films and novels weave stories about human-like machines that wreak havoc on Earth. But nothing could be further from the truth.

Artificial intelligence is based on the principle that human intelligence can be defined in a way that a machine can easily mimic it and execute tasks, from the most simple to those that are even more complex. The goals of artificial intelligence include mimicking human cognitive activity. Researchers and developers in the field are making surprisingly rapid strides in mimicking activities such as learning, reasoning, and perception, to the extent that these can be concretely defined. Some believe that innovators may soon be able to develop systems that exceed the capacity of humans to learn or reason out any subject. But others remain skeptical because all cognitive activity is laced with value judgments that are subject to human experience.

As technology advances, previous benchmarks that defined artificial intelligence become outdated. For example, machines that calculate basic functions or recognize text through optical character recognition are no longer considered to embody artificial intelligence, since this function is now taken for granted as an inherent computer function.

AI is continuously evolving to benefit many different industries. Machines are wired using a cross-disciplinary approach based on mathematics, computer science, linguistics, psychology, and more.

Applications of Artificial Intelligence

The applications for artificial intelligence are endless. The technology can be applied to many different sectors and industries. AI is being tested and used in the healthcare industry for suggesting drug dosages, identifying treatments, and for aiding in surgical procedures in the operating room.

Other examples of machines with artificial intelligence include computers that play chess and self-driving cars. Each of these machines must weigh the consequences of any action they take, as each action will impact the end result. In chess, the end result is winning the game. For self-driving cars, the computer system must account for all external data and compute it to act in a way that prevents a collision.

Artificial intelligence also has applications in the financial industry, where it is used to detect and flag activity in banking and finance such as unusual debit card usage and large account deposits—all of which help a bank’s fraud department. Applications for AI are also being used to help streamline and make trading easier. This is done by making supply, demand, and pricing of securities easier to estimate.

Types of Artificial Intelligence

Artificial intelligence can be divided into two different categories: weak and strong. Weak artificial intelligence embodies a system designed to carry out one particular job. Weak AI systems include video games such as the chess example from above and personal assistants such as Amazon’s Alexa and Apple’s Siri. You ask the assistant a question, and it answers it for you.

Strong artificial intelligence systems are systems that carry on the tasks considered to be human-like. These tend to be more complex and complicated systems. They are programmed to handle situations in which they may be required to problem solve without having a person intervene. These kinds of systems can be found in applications like self-driving cars or in hospital operating rooms.

Special Considerations

Since its beginning, artificial intelligence has come under scrutiny from scientists and the public alike. One common theme is the idea that machines will become so highly developed that humans will not be able to keep up and they will take off on their own, redesigning themselves at an exponential rate.

Another is that machines can hack into people’s privacy and even be weaponized. Other arguments debate the ethics of artificial intelligence and whether intelligent systems such as robots should be treated with the same rights as humans.

Self-driving cars have been fairly controversial as their machines tend to be designed for the lowest possible risk and the least casualties. If presented with a scenario of colliding with one person or another at the same time, these cars would calculate the option that would cause the least amount of damage.

Another contentious issue many people have with artificial intelligence is how it may affect human employment. With many industries looking to automate certain jobs through the use of intelligent machinery, there is a concern that people would be pushed out of the workforce. Self-driving cars may remove the need for taxis and car-share programs, while manufacturers may easily replace human labor with machines, making people’s skills obsolete.

What is an Autonomous Expenditure?

An autonomous expenditure describes the components of an economy’s aggregate expenditure that are not impacted by that same economy’s real level of income. This type of spending is considered automatic and necessary, whether occurring at the government level or the individual level. The classical economic theory states that any rise in autonomous expenditures will create at least an equivalent rise in aggregate output, such as GDP, if not a greater increase.

Understanding Autonomous Expenditure

An autonomous expenditure obligation must be met regardless of income. It is considered independent in nature, as the need does not vary with incomes. Often, these expenses are associated with the ability to maintain a state of autonomy. Autonomy, in regard to nations, includes the ability to be self-governing. For individuals, it refers to the ability to function within a certain level of societally acceptable independence.

To be considered an autonomous expenditure, the spending must generally be deemed necessary to maintain a base level of function or, in an individual sense, survival. Often, these expenses do not vary regardless of personal disposable income or national income. Autonomous expenditure is tied to autonomous consumption, including all of the financial obligations required to maintain a basic standard of living. All expenses beyond these are considered part of induced consumption, which is affected by changes in disposable income.

In cases in which personal income is insufficient, autonomous expenses still must be paid. These needs can be met through the use of personal savings, consumer borrowing mechanisms such as loans and credit cards, or various social services.

Autonomous Expenditures and Income Levels

While the obligations that qualify as autonomous expenditures do not vary, the amount of income directed toward them can. For example, in an individual sense, the need for food qualifies as an autonomous expenditure, though the need can be fulfilled in a variety of manners, ranging from the use of food stamps to eating every meal at a five-star restaurant. Even though income level may affect how the need is met, the need itself does not change.

Governments and Autonomous Expenditures

The vast majority of government spending qualifies as autonomous expenditures. This is due to the fact that the spending often relates strongly to the efficient running of a nation, making some of the expenditures required in order to maintain minimum standards.

Factors Affecting Autonomous Expenditures

Technically, autonomous expenditures are not affected by external factors. In reality, however, several factors can affect autonomous expenditures. For example, interest rates have a significant effect on consumption in an economy. High interest rates can tamp down on consumption while low interest rates can spur it. In turn, this affects spending within an economy.

Trade policies between countries can also affect autonomous expenditures made by their citizens. If a producer of cheap goods imposes duties on exports, then it would have the effect of making finished products for outside geographies more expensive. Governments can also impose controls on an individual’s autonomous expenditures through taxes. If a basic household good is taxed and no substitutes are available, then the autonomous expenditure pertaining to it may decrease.

Examples of Autonomous Expenditure

Some of the spending classes that are considered independent of income levels, which can be counted as either individual income or taxation income, are government expenditures, investments, exports, and basic living expenses such as food and shelter.