Pros and Cons to Artificial Intelligence

In many cases, collecting data is now an essential element in decision-making for most businesses. But humans cannot manipulate large volumes of data at scale.

Why do we use Artificial Intelligence?

Artificial intelligence technology is used to help build intelligent systems capable at the same time. Machines that learn from computer science are data analytics. In reality it is possible to use different types of artificial intelligence that helps us perform our daily jobs quickly and efficiently. AI can change our lives through automated marketing, ecommerce recommendation systems, fraud detection and other tools.

AI reduces human error

In businesses, humans lack the skills of evaluating data in a consistent and accurate manner. We display a lot of prejudices with a large mental blind spot. And of course the tiredness of it all. Similar restrictions also exist on physical tasks. Even skilled assembly workers can make several mistakes. AI reduces human error across many different fields. AI follows constant logic without causing any negative feelings to interfere with analysis. In addition, AI is not capable of detecting and distracting users. Hence you see increasing use of AI to carry out jobs that require accuracy and precision in order to provide driver assistance.

AI automates repetitive tasks

It's the perfect tool to automate tedious and data-intensive operations. This task requires humans to work very hard and energy which is better spent elsewhere. AI now does everything from email replies to complex manufacturing tasks. So there is ample time for other activities, both for work as well as in the daily.

24/7 Availability Replace Humans need for Rest

An average employee can only spend seven to eight hours a day on the job. The human body requires some time to refresh, while the balance between job and family must remain intact. Then the workers are not capable of working for the rest of the day. This is where Artificial Intelligence provides 24 hour service in the business world. In an additional scenario, chatbots are capable of handling multiple requests at the same time and are able to work round-the-clock. AI provides services quickly and efficiently. In today's world, virtually all e-Commerce sites are using artificial intelligence in support chats. Increased customer service.

Helps in Repetitive Jobs

Unlike humans, machines do not take pauses for easing tiredness or improving productivity. Humans have many daily activities and they are repetitive. Effizience reduces in humans when doing identical work at constant intervals. A human worker's productiveness is not guaranteed by any law. In contrast, AI-powered systems can perform repetitive tasks for long without slowing down. AI allows for continuous operation without any loss of performance. This is one of the main advantages of AI and has prompted its adoption across sectors.

New Inventions

AI will help people solve complicated problems by providing them with intelligent machines. Recent advances have used AI-based technology to diagnose and manage early stage breasts. Check out our article on AI course curriculum for a complete explanation of topics in AI.

Lacking Improvement

The AI algorithm is built for learning through exploring data. So machines learn. However if there is a redundant system, there could be a learning failure or the machines might produce unexpected results. The algorithm needs to be adjusted for a new dataset or learned for a special situation. There are some errors that result from faulty processing of information. A further reason for this is based upon inaccuracy of AI-generated output, which can also be very harmful. How does Artificial Intelligence interview help you?

But don't just take my word for it, I went ahead and asked ChatGPT 4 what were the pros and cons to artificial intelligence so you don't have to:

Pros:

1. Increased Efficiency: AI can quickly analyze vast amounts of data and identify patterns that human researchers may not be able to detect. This leads to faster research and more efficient use of resources.

2. Better Accuracy: AI algorithms can perform complex calculations and analysis with a higher degree of accuracy and precision than humans, reducing the risk of human error.

3. Improved Predictive Capabilities: AI models can be trained to make predictions based on data, allowing researchers to develop more accurate forecasts and models.

4. Enhanced Insight: AI algorithms can uncover hidden patterns and relationships in data that humans may not be able to identify, leading to new insights and discoveries.

5. Cost-effective: AI can automate routine tasks and reduce the need for manual labor, ultimately saving time and money.

Cons:

1. Lack of Creativity: AI can analyze data and identify patterns, but it cannot generate new ideas or come up with new research questions on its own.

2. Limited Data Availability: AI relies on the availability of large and diverse data sets to function effectively. However, such data sets may not always be available or accessible.

3. Biased Results: AI algorithms can produce biased results if the training data sets are biased or if there are flaws in the algorithms.

4. Difficult to Interpret: AI models can be complex and difficult to interpret, which may make it challenging for researchers to understand the underlying processes and draw meaningful conclusions from the results.

5. Lack of Human Judgment: AI lacks the ability to make intuitive and subjective judgments that humans can make. This can lead to errors or oversights in research findings.

The weary part of artificial intelligence is that the industry is a biased place according to Forbes, Bernard Marr "human beings choose the data that algorithms use, and also decide how the results of those algorithms will be applied. Without extensive testing and diverse teams, it is easy for unconscious biases to enter machine learning models. Then AI systems automate and perpetuate those biased models." The jobs that Artificial intelligence falls under are as follows.

• Software engineer.

• Data scientist.

• Software development engineer.

• Research scientist.

We know that these jobs are dominated by white men in the western world, unless they are outsourced to companies to places like India and Kenya. Where Kenyans are only paid at most $2 an hour to sift through often horrifying content, that case is being put to trial as we speak for compensation of lack of mental health services and proper training. Billy Perrigo of TIME states "OpenAI does not disclose the names of the outsourcers it partners with, and it is not clear whether OpenAI worked with other data labeling firms in addition to Sama [Kenyan outsourcing company] on this project."

So the choice remains in your hands, use free software to your benefit? Or boycott for the safety of "unbiased" sources and livable wages. It's up to the public to decide and so far, free means accessibility for millions, where do you stand?