The earliest CAPTCHAs were a. pictures of streets b. warped text c. multiple choice quizzes
In 2007, a. a robot solved a CAPTCHA for the first time b. the creators of CAPTCHA began using the technology to digitize books c. Google announced that it would use CAPTCHAs to train self-driving cars
“I am not a robot” checkboxes a. are impossible for a robot to see on the screen b. use a special font that confuses robots c. track mouse movements to catch robots
Discussion/essay questions
Some people think that Google collecting CAPTCHA responses is a data privacy concern. What do you think? How careful are you about privacy on the internet?
The word CAPTCHA is an example of a “backronym.” Backronyms are acronyms that are intentionally designed to spell out a certain word. Can you think of any other backronyms?
In testing, ChatGPT has solved a CAPTCHA by hiring a human to do it. Do you think this is a concern? Why or why not?
Transcript
Many websites use CAPTCHAs to verify that their users are human. The word CAPTCHA is actually an acronym that stands for Completely Automated Public Turing Test to Tell Computers and Humans Apart. Early CAPTCHAs were lines of warped text that were difficult for computers to read. In 2007, the creators of CAPTCHA gave the bot test a secondary purpose. The new technology, called reCAPTCHA, showed users sample images of text and used the responses to help digitize books. Since then, Google has also used reCAPTCHA to improve its maps. This is why many reCAPTCHAs have users identify addresses and street names. However, not all CAPTCHAs involve identification. The “I am not a robot” checkboxes track mouse movements across the screen. CAPTCHAs change regularly because bots are improving over time. In some experiments, robots have actually outperformed humans at identifying text.
The stories in I, Robot are structured as a. journal entries b. parts of an interview c. letters
The Three Laws of Robotics are meant to ensure that a. robots think like humans b. robots function properly c. robots make ethical decisions
The “Frankenstein complex” is the belief that a. robots will never be as smart as humans b. robots will eventually turn against their creators c. robots are incapable of emotions
Discussion/essay questions
In recent years, scientists have made many advancements in artificial intelligence. Do you think robots will ever be able to think like humans? Do you think it will happen in the near future? Why or why not?
Transcript
I, Robot is a collection of science fiction stories by American writer and scientist Isaac Asimov. The stories were originally published in science fiction magazines. They were compiled into a book in 1950. The stories are structured as parts of an interview with a robotics expert named Susan Calvin. Throughout the book, robots follow Asimov’s famous Three Laws of Robotics. These laws are designed to ensure that robots make ethical decisions. At the time, Asimov’s book was unique for describing robots as humanlike beings. Asimov often criticized a trope he called the “Frankenstein complex,” which was the belief that robots would eventually turn against their creators. Although technology has changed since I, Robot was published, it is still seen as an important exploration of morality in artificial intelligence.
An AI using machine learning a. can reject its own programming b. can destroy its own programming c. can update its own programming
In supervised machine learning, a. the programmer labels data so the AI knows what to look for b. the AI identifies any patterns it detects in the unlabelled data c. the AI can’t change its programming unless the programmer allows it to
The type of machine learning that works almost like a brain is called a. an artificial neuron b. a neural network c. an unsupervised detector
Discussion/essay questions
The use of artificial intelligence in many industries is controversial. Some people believe it will replace human intelligence and creativity. Do you think it is possible for a machine to think and create the way a human does? What should we do if that happens?
Transcript
Machine learning is the process that artificial intelligence uses to understand information. A program using machine learning can update its own programming. A human first trains the AI using a selection of data, and the AI then uses its training to recognize patterns in different data. Machine learning can be supervised or unsupervised. In supervised learning, the programmer labels the data so the AI knows what to look for. In unsupervised learning, the AI identifies any patterns that it detects. A complex type of machine learning, called a neural network, is designed almost like a human brain, with interconnected artificial neurons. These networks are useful for finding complicated patterns that have exceptions and variations. They can detect fraud, make stock predictions, and diagnose health issues.
Artificial intelligence, or AI, is any type of that can learn how to do tasks on its own. Artificial intelligence is starting to become very in everyday life. Phones and tablets often come with digital assistants. Streaming platforms use AI to recommend content to their users. The type of AI we have today is called narrow AI, which means it can only perform very specific tasks. Researchers are trying to create something called general AI, which would be able to think and learn like a human. But many scientists are concerned about the of AI. An extremely intelligent computer would be very good at accomplishing its , but it might not care very much about human life.
Comprehension questions
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Discussion/essay questions
AI has many benefits for humans, but it could also be very dangerous for our future. What are some of the pros and cons of creating an advanced AI?
Do you think scientists should continue to develop AI? Why or why not?
Transcript
Artificial intelligence, or AI, is any type of computer that can learn how to do tasks on its own. Artificial intelligence is starting to become very common in everyday life. Phones and tablets often come with intelligent digital assistants. Streaming platforms use AI to recommend content to their users. The type of AI we have today is called narrow AI, which means it can only perform very specific tasks. Researchers are trying to create something called general AI, which would be able to think and learn like a human. But many scientists are concerned about the future of AI. An extremely intelligent computer would be very good at accomplishing its goals, but it might not care very much about human life.
