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As technology advances, previous benchmarks that defined artificial intelligence become outdated.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 American Express Card?

An American Express card, also known as an “Amex” card, is an electronic payment card branded by the publicly traded financial services company American Express (AXP). The company issues and processes prepaid, charge, and credit cards. American Express cards are available to individuals, small businesses, and corporate consumers across the United States and around the world.

Understanding American Express Cards

American Express cards are issued by American Express and processed on the American Express network. American Express is one of only a few financial service companies in the industry that has the capability to both issue and process electronic payment cards.

American Express is a publicly traded company in the financial services industry. It offers both credit lending and network processing services, giving it a broad range of competitors in the industry. As with traditional lenders, it has the capability to issue credit products, which it provides in the form of charge cards and credit cards.

American Express has its own processing network that competes with Mastercard (MA) and Visa (V). Its most comparable competitor is Discover Financial Services (DFS), which is also a publicly traded financial service company offering both credit lending and a processing service network. With multiproduct capabilities, American Express generates revenue from both interest-earning products and network processing transaction services.

American Express Fees

American Express generates a significant portion of its revenue from transaction processing. Many merchants accept American Express cards and are willing to pay the transaction fees associated with processing because of the advantages that come with offering American Express as a payment option to customers.

In an American Express transaction, the merchant’s acquiring bank communicates with American Express as both the processor and the issuing bank in the transaction process. Merchant acquiring banks must work with the American Express processing network to transmit communications in American Express transactions. American Express is also the issuer that authenticates and approves the transaction. 

Merchants pay a small fee to American Express for its processing network services, which are part of the comprehensive fees involved with a single transaction. As both a processor and high-quality lender, American Express has built a strong reputation in the financial services industry.

Types of American Express Cards

As noted above, American Express credit cards and prepaid debit cards are offered to a variety of both retail and commercial customers. It is also an industry-leading provider of charge cards, which offer month-to-month credit with card balances that must be paid off each month.

American Express charge and credit cards follow standard underwriting procedures. The company seeks good- to high-credit quality borrowers—which means a credit score of at least 670—and generally is not a subprime lender.

American Express credit and charge cards come with a variety of benefits in the form of rewards points and travel perks, which depend, in part, on the annual fee charged. American Express cards may offer cash back on certain purchases, though they aren’t among the best cash back cards currently available. American Express also offers numerous branded prepaid debit cards, which can be used as gift cards or special-purpose reloadable payment cards.

Annual fees for American Express cards tend to run high: $95 for the Blue Cash Preferred Card, $99 for the Delta SkyMiles Gold American Express Card, $150 for the Green Card, $250 for the Gold Card, and $550 for the Platinum Card. That said, the Green, Gold, and Platinum cards have no predetermined spending limits. American Express does offer at least six cards with no annual fee. Customer service for all Amex cards is highly rated, with the company coming in No. 1 on J.D. Power’s 2020 U.S. Credit Card Satisfaction Study.

Partnerships, co-branded cards

American Express issues many of its cards directly to consumers, but it also has partnerships with other financial institutions. In the U.S., for example, Wells Fargo issued an American Express card (new applications were paused in April 2021, although this doesn’t affect current cardholders), and in Mexico, Banco Santander offers American Express cards. American Express also has partnerships with other companies to encourage consumers to apply for its credit cards. Two examples are its co-branded cards with Delta Air Lines, which allow consumers to earn frequent flier miles redeemable on Delta, and its Hilton Hotels co-branded cards.

Pros and Cons of an American Express Card

What Does Accepting Risk Mean?

Accepting risk, or risk acceptance, occurs when a business or individual acknowledges that the potential loss from a risk is not great enough to warrant spending money to avoid it. Also known as “risk retention,” it is an aspect of risk management commonly found in the business or investment fields.

Risk acceptance posits that infrequent and small risks—ones that do not have the ability to be catastrophic or otherwise too expensive—are worth accepting with the acknowledgment that any problems will be dealt with if and when they arise. Such a trade-off is a valuable tool in the process of prioritization and budgeting.

Accepting Risk Explained

Many businesses use risk management techniques to identify, assess and prioritize risks for the purpose of minimizing, monitoring, and controlling said risks. Most businesses and risk management personnel will find that they have greater and more numerous risks than they can manage, mitigate, or avoid given the resources they are allocated. As such, businesses must find a balance between the potential costs of an issue resulting from a known risk and the expense involved in avoiding or otherwise dealing with it. Types of risks include uncertainty in financial markets, project failures, legal liabilities, credit risk, accidents, natural causes and disasters, and overly aggressive competition.

Accepting risk can be seen as a form of self-insurance. Any and all risks that are not accepted, transferred or avoided are said to be “retained.” Most examples of a business accepting a risk involve risks that are relatively small. But sometimes entities may accept a risk that would be so catastrophic that insuring against it is not feasible due to cost. In addition, any potential losses from a risk not covered by insurance or over the insured amount is an example of accepting risk.

Some Alternatives to Accepting Risk

In addition to accepting risk, there are a few ways to approach and treat risk in risk management. They include:

• Avoidance: This entails changing plans to eliminate a risk. This strategy is good for risks that could potentially have a significant impact on a business or project.
• Transfer: Applicable to projects with multiple parties. Not frequently used. Often includes insurance. Also known as “risk sharing,” insurance policies effectively shift risk from the insured to the insurer.
• Mitigation: Limiting the impact of a risk so that if a problem occurs it will be easier to fix. This is the most common. Also known as “optimizing risk” or “reduction,” hedging strategies are common forms of risk mitigation.
• Exploitation: Some risks are good, such as if a product is so popular there are not enough staff to keep up with sales. In such a case, the risk can be exploited by adding more sales staff.