Top 10 Applications of Artificial Intelligence in Daily Life

This year, there have been amazing new advances in public use. One AI-generated image even won an art prize in competition with human artists (https://www.nymes.com/2022/09/02/chnology/-artifial-ligence-artists.html).

The fact is, AI is all around us.

It’s been used to help screen for cancer, combat poaching of endangered elephants, and enable the detection of archaeological sites from space. But AI isn’t limited to the scientific frontier. In fact, AI is everywhere.

You probably use AI in your daily life too.

“AI technology has permeated every aspect of our lives, almost imperceptibly,” said IEEE senior member Guangjie Han. “It powers our devices and continuously improves them by analyzing the data we generate on them.”

Common uses of AI in everyday life include:

1. Assistant: or the voice assistant on the device is powered by artificial intelligence. Sometimes, the request can be processed on the phone. Sometimes the request is sent to the cloud server for processing.

2. Smart home devices: Using artificial intelligence, smart thermostats can automatically adjust a home’s HVAC system, while cameras can alert consumers when a person, car, or package arrives.

3. Commerce: AI is ubiquitous in online shopping. Notable application expansions include recommendations, chats to help manage sales and returns, and customized shopping experiences.

4. Trend Identification in Retail: Online stores don’t just offer what you buy, they actively use store and competitor sales data to identify trends. They design and manufacture products using artificial intelligence to meet the needs of the public.

5. Content Recommendation: AI-powered content recommendation engines are trained using product catalogs and consumer data to provide more personalized recommendations.

6. Navigation and travel: Paper maps are a thing of the past. AI-generated routes can optimize travel time or reduce fuel consumption.

7. Drug Research: AI systems can help find new drug applications by identifying their potential dangers and mechanisms of action. This technology has helped establish several drug discovery platforms that enable companies to reuse current drugs and bioactive substances for research.

8. Unlock your phone with facial recognition: Just look at your phone to unlock it. These features are powered by artificial intelligence, which uses cameras and technology to accurately measure your face.

9. Financial Fraud: AI is very good at pattern analysis, and it turns out that most of us use our credit cards in a fairly predictable way. This makes it perfect for determining which credit card transactions might be illegitimate. If you’ve ever received a call from your bank asking if you made a transaction, it was likely the result of AI.

10. Autocorrect: AI systems use , and natural language processing to identify incorrect language usage in texts, messaging apps, and other text media, and provide corrections and suggestions.

For the foreseeable future, most work on AI systems will focus on building larger, less biased datasets for training models.

“The training of these systems depends heavily on the data the AI ​​model is trained on,” said IEEE Fellow Karen Panetta. “The more scenarios it can experience, the better it will be, but this requires carefully curated, annotated datasets. These datasets must be diverse to reduce bias and dynamically updated to reflect new conditions and scenarios that arise in real-world applications.”

At the same time, it’s also a reminder not to over-rely on AI systems in certain life-changing situations.

“AI needs to be explainable,” Panetta said. “For example, many companies are selling products that assess people’s performance and determine compensation. However, these systems make decisions without being able to explain how the AI ​​determined the outcome. AI should not affect someone’s livelihood.”

Despite the prevalence of AI, it still has a lot of room for development and improvement.