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Home More What are few drawbacks of AI (Artificial Intelligence):

What are few drawbacks of AI (Artificial Intelligence):

by Ragini Salampure
What are few drawbacks of AI (Artificial Intelligence):

AI is a trending term in the business world, and it stands for “Artificial Intelligence,” and companies like Google, Microsoft, Apple, and IBM invest billions in developing AI technologies.

Although it’s been changing the game in many business areas like advertising or social media, you need to be aware of drawbacks before investing it in your business.

1. The AI System May Overwhelm Employees

In many businesses, employees who may have been in charge in the company’s early years will be in a position of becoming a resource for their employers.

This means they will be in charge of making decisions for the business, so the AI system must be easy to use and understand by these employees. Otherwise, it can become confusing and lead to user errors.

2. The AI System May Be Buggy At First

Since artificial intelligence relies on machines to learn and make decisions, it can take time to work correctly. This is normal. 

The AI system may not always make the right decisions, but it will eventually learn from these errors and adjust its decision-making processes to improve over time.

3. The AI System May Make Wrong Decisions

This is also normal. When using artificial intelligence systems, some businesses may want to consider reducing the impact of any potential wrong decisions.

For example, some companies may want to develop a formal plan for when employees can override decisions made by the system.

4. The AI System Will Impact The Bottom Line

The business will need to analyze how it will make money from its use of AI technology once it’s implemented.

Using AI systems is not free, and there are typically additional costs associated with implementing the technology and maintaining it over time.

5. The AI System May Be Misused

Some people will use artificial intelligence for less than noble purposes. For example, hackers can use AI to carry out cyberattacks against businesses that rely too heavily on technology systems.

They can also exploit the wealth of data that companies maintain on their customers and partners. As a result, businesses will want to ensure their technology systems are protected from potential attacks by using only approved software and adding security measures such as firewalls.

6. The AI System May Not Be Suitable For Every Business

The AI system can make decisions based on specific metrics, but it won’t always be the best choice for every company. For example, an online retailer may use machine learning algorithms for its customers’ profiles to deliver more personalized customer service.

However, this means the business will collect much more data than it needs when making offline sales decisions, leading to higher costs. In this case, the optimization process may be better served by purchasing a pre-built machine learning model from a third-party vendor.

7. The AI System May Need To Be Trained For Each Industry

Since artificial intelligence systems rely on data to make decisions, they must be trained to understand and work within each industry’s unique norms and regulations. For example, the healthcare sector requires different data collection and reporting procedures than the financial sector does.

This means some businesses may need to train the system to analyze and report data collected to conform to industry or regulatory requirements.

8. The AI System May Not Be Scalable For Long-Term Growth

The AI system needs a large amount of high-quality data to work effectively. Fortunately, many businesses already maintain this type of data through computerized systems and software.

However, once the AI system is implemented, it will want to access that data. If the merchants don’t provide this data or aren’t easily accessible to the system, the AI system may not work correctly over time.

9. The AI System Can Take Time To Get Off The Ground

Many businesses choose to implement artificial intelligence systems because they are interested in future growth, but this fast-paced development process can be exhausting for businesses with limited resources.

For example, the data gathering and analysis processes could take months and involve many additional man-hours. As a result, it’s vital for businesses to consider their current operational capabilities and how long it may take to implement the AI system within those constraints.

10. The AI System May Help Employees Lose Their Jobs

The machine learning algorithm can be programmed to make decisions as needed about specific business processes, such as assessing which customers are at risk of canceling their accounts due to excessive late fees or other common problems.

In this case, the AI system will drive the company to prioritize its service to non-paying customers. This can help it improve its bottom line, but it could also lead to the displacement of other workers in the organization.

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