ARTIFICIAL INTELLIGENCE (AI)
I. READING COMPREHENSION
a. Read the passage carefully, and then answer the following questions
The Evolution and Impact of Artificial Intelligence
Artificial Intelligence (AI) is a branch of computer science dedicated to developing machines and systems that can imitate human intelligence. These AI systems are engineered to perform tasks that usually require cognitive functions, such as reasoning, problem-solving, and understanding natural language. The application of AI spans various industries, including healthcare, finance, and technology, where it is employed to automate processes, analyze vast amounts of data, and enhance overall efficiency.
There are two primary categories of AI: Narrow AI and General AI. Narrow AI, also referred to as Weak AI, is task-specific and operates within a limited set of functions. For instance, virtual assistants like Siri and Alexa can manage tasks such as setting reminders or answering inquiries, but they cannot extend their capabilities beyond their programming. Other examples of Narrow AI include facial recognition software, online customer service chatbots, and recommendation systems utilized by platforms like Netflix and Amazon.
On the other hand, General AI, or Strong AI, embodie s the idea of machines capable of performing any intellectual task that a human can manage. This advanced form of AI would be able to understand, learn, and apply knowledge across diverse contexts. While Narrow AI is prevalent in todayΓÇÖs technology landscape, General AI remains a theoretical concept, as no system has yet achieved the level of human-like reasoning that it entails.
b. Answer the following questions briefly.
1. What do you think are the most significant benefits of using AI in healthcare?
2. How can Narrow AI and General AI be distinguished in their applications?
3. In what ways do you believe AI will change the job market in the next decade?
4. Can you provide examples of ethical issues that arise with the use of AI?
5. How do you think AI could enhance the customer experience in retail?
6. What challenges do you foresee in implementing AI in education?
7. How does data bias impact the effectiveness of AI systems?
8. In your opinion, what measures should be taken to ensure the ethical use of AI?
9. How might AI influence decision-making in finance?
10. What role do you see for AI in addressing global challenges, such as climate change?