Artificial Intelligence, or AI, refers to machines designed to simulate human intelligence. These systems can learn from data, solve problems, and make decisions.
Common examples include voice assistants like Siri, personalized ads, self-driving cars, and recommendation systems like Netflix or YouTube.
AI is trained using large amounts of data and special algorithms that look for patterns.
Over time, it gets better at making predictions or decisions. This process is called machine learning.
The more diverse and high-quality the data, the more accurate the AI can become.
There have been real cases where AI caused harm due to bias:
Manufacturing (64%): Most assembly tasks can be done by machines. Example: Car factory robots.
Transportation (61%): AI might replace driving jobs. Example: Self-driving trucks.
Retail (43%): Stores use automation for checkouts and inventory. Example: Self-checkout lanes.
Customer Service (45%): Chatbots now answer many basic questions. Example: Website support bots.
Healthcare (36%): AI helps with diagnosing images, but not patient care. Example: AI reading x-rays.
Education (26%): AI tutors can help, but teachers still matter. Example: Online learning platforms.
