Artificial intelligence in everyday life

“Artificial intelligence” (AI) has become an integral part of everyday life, making it a relevant and engaging topic for you as an ESL learner. Discussing AI-related topics encourages critical thinking and debate, fostering language development and cultural awareness. As AI continues to evolve, it offers a dynamic and future-oriented focus for ESL education. Today’s vocabulary words will help you have a better understanding of “artificial intelligence”. Let’s jump right in!

In today’s lesson, you’re going to have:

• 5 advanced English vocabulary words about Artificial intelligence in everyday life.

• 15 examples of phrases that you can use on a daily basis.

• Eye-catching images will help you learn and retain the vocabulary.

1. Personal Assistant

📚 DEFINITION

An AI-driven tool or application designed to help manage tasks, schedule appointments, and provide information, often through voice commands.

📄 Example Sentences:

1. Virtual personal assistants like Siri and Alexa help users with tasks such as setting reminders and answering questions.

2. She relies on her personal assistant app to organize her daily schedule and send reminders for important events.

3. The personal assistant’s voice recognition capabilities make it easy to interact with and manage various tasks hands-free.

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2. Predictive Analytics

📚 DEFINITION

The use of statistical algorithms and machine learning techniques to analyze historical data and predict future outcomes or trends.

📄 Example Sentences:

1. Predictive analytics helps businesses forecast sales and optimize inventory management based on past data.

2. The app uses predictive analytics to recommend products that you are likely to buy based on your purchase history.

3. By employing predictive analytics, the healthcare system can anticipate patient needs and improve care delivery.

3. Natural Language Processing (NLP)

📚 DEFINITION

A field of AI that focuses on the interaction between computers and human language, enabling machines to understand, interpret, and respond to text or speech.

📄 Example Sentences:

1. Natural Language Processing is used in translation services to convert text from one language to another.

2. The voice-activated assistant relies on NLP to understand and respond to user commands effectively.

3. Advances in NLP have improved the accuracy of sentiment analysis in customer feedback and social media.

4. Facial Recognition

📚 DEFINITION

A biometric technology that uses AI to identify or verify individuals by analyzing facial features and patterns.

📄 Example Sentences:

1. Facial recognition technology is commonly used in smartphones to provide secure and convenient access to devices.

2. The security system employs facial recognition to monitor and manage access to restricted areas.

3. Facial recognition can enhance customer service by personalizing interactions based on recognized individuals.

5. Robotic Process Automation (RPA)

📚 DEFINITION

The use of AI and software robots to automate repetitive, rule-based tasks typically performed by humans in business processes.

📄 Example Sentences:

1. Robotic Process Automation has transformed financial services by automating tasks like data entry and processing transactions.

2. The company implemented RPA to streamline administrative tasks, reducing the time and effort required for manual work.

3. RPA tools can handle routine tasks efficiently, allowing employees to focus on more strategic and creative activities.

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