24 advantages and disadvantages of AI

Experts believe that AI can be beneficial to society if there are rules and an understanding of its capabilities.

A 2024 survey showed that most Americans are interested in using AI for personal purposes, but only 32% believe AI will improve their lives, while 22% think it will make things worse. Negative feelings about AI have increased: 37% express concern, 28% anxiety, and 23% fear.

In business, 93% of large companies consider AI key to success, but they also note issues with privacy, security, and ethics.

12 advantages of AI

1. 24/7 availability

AI operates around the clock and can make decisions without human intervention, ensuring continuous operation.

2. Scalability

AI can scale almost infinitely, allowing it to serve hundreds of thousands of customers simultaneously, as done by Amazon and Netflix.

3. Increased accuracy

AI systems do not get tired and process more information, reducing errors and improving result accuracy. However, this requires high-quality algorithms and data.

4. Enhanced security

AI is used for monitoring and detecting hazards, improving safety across various industries, including automotive and manufacturing processes.

5. Handling routine tasks

AI can perform repetitive tasks, freeing up human time for more important activities. Examples include robotic vacuums and automated data collection.

6. Improving human experience

AI analyzes data for personalized service. 94% of executives believe AI improves the digital experience for employees and customers.

7. Unbiased decision-making

AI removes emotions and intuition from the decision-making process, relying on data and algorithms. However, it may produce inaccurate results if the initial data is biased.

8. Lack of emotions and judgment

AI has no emotions, making it useful for customer service. People often prefer asking questions to chatbots to avoid judgment.

9. Innovation

AI drives development in various industries, including healthcare and drug development, leading to more effective treatments.

10. Increased efficiency and productivity

AI significantly boosts productivity. Generative AI tools help reduce time spent on routine tasks, allowing people to focus on more important aspects.

11. Democratization of knowledge

AI makes knowledge more accessible to many, enabling people to learn and create programs without deep technical expertise.

12. Extended access to expert knowledge

AI provides specialized services that were previously unavailable to the general public.

12 disadvantages of artificial intelligence

1. Lack of creativity

AI lacks original thinking. It is limited by algorithms and data used for predictions. As Erly notes, AI creates "garbage" without individuality.

2. Lack of empathy

Although AI can recognize emotions, it cannot empathize. Kim emphasizes that true empathy experienced by humans is absent in AI.

3. Loss of human skills

Despite positive aspects, AI may lead to the loss of critical human skills. Erly notes that with the automation of routine tasks, people may forget how to perform them independently.

4. Increased laziness and reduced productivity

Some analysts fear that AI may lead to laziness. Erly says that sometimes using AI reduces productivity because it takes more time to verify results than to do the work manually.

5. Job losses and population displacement

According to an Adecco Group report, 41% of executives expect a reduction in staff due to AI. Goldman Sachs Research predicts the automation of 300 million jobs. However, experts argue that AI will also create new tasks requiring new skills.

6. Ethical violations and privacy breaches

With the growing use of AI, risks of ethical violations and privacy breaches increase. Daley emphasizes that AI can be biased and opaque, raising concerns about data protection.

7. High energy demands and sustainability issues

AI requires significant computing resources, leading to high energy consumption. The World Economic Forum noted that generative AI systems use 33 times more energy than specialized programs, which could negatively impact sustainability.

8. Inaccuracies

AI is not immune to errors. Bowes notes that although the number of errors is minimal, they can still occur since AI works with probabilities.

9. Unforeseen risks

Users face new risks associated with inaccurate results or AI hallucinations. An example is a lawyer who used ChatGPT to draft legal documents, unaware that the tool could provide incorrect information.

10. Risks at large scale

AI creates exponential risks as it operates around the clock and can exacerbate errors in algorithms. Calvino notes that the nature of risk remains the same, but its scale has increased.

11. Deepfakes and fraud

Hackers use AI to create deepfakes and cyberattacks, including phishing emails and deep fakes. Johnson says this has become a serious problem as people can easily fall for it.

12. Unequal distribution of benefits

While many believe the benefits of AI will outweigh the drawbacks, Erly points to the unequal distribution of benefits, which could negatively affect certain groups of people.

Examples of successful AI use

— Khan Academy: In 2024, this non-profit educational organization made its AI assistant Khanmigo free for teachers in the US. It helps reduce preparation time, allowing educators to focus on teaching.

— AI-powered cars: Modern car models use AI to enhance safety. Systems monitor blind spots, warn drivers about reduced attention, and can automatically brake to prevent collisions.

— Medical breakthroughs: In spring 2023, Swiss researchers applied AI in medical treatment, enabling a paralyzed person to walk again for the first time in 12 years.

Examples of unsuccessful AI use

— Fraudsters used AI to create a deepfake, impersonating a company's CFO, resulting in a $25 million payment to an employee.

— In early 2023, Google introduced its generative chatbot Bard, which incorrectly stated that the James Webb Telescope had taken the first images of exoplanets. This error caused Alphabet's stock to drop by nearly 8%, equivalent to a loss of $100 billion.

— In early 2024, a British Columbia court held Air Canada responsible for misinformation provided by its chatbot and awarded the plaintiff $800. The court ruled that the company is liable for the actions of its AI systems.

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