Terminologies
Examples
More Terminologies
True/False
100

What does 'AI' stand for?

Artificial Intelligence

100

What is an example of artificial intelligence?

Phone, Siri, Alexa, Tesla, etc, etc, etc.

100

What is an AI chatbot?

A computer program or app that uses AI technology to respond to what you say in real time.

100

AI systems can fully replicate human emotions and consciousness.

False: AI can simulate certain aspects of human behavior or emotion (e.g., recognizing emotions in text or voice), but it does not experience emotions or consciousness the way humans do.

200

What is Artificial Intelligence?

Artificial intelligence (AI) is the ability of computers to perform tasks that usually require human intelligence. These tasks include learning, reasoning, problem-solving, and decision-making.


200

What is an example of an AI reactive machine? 

Smart thermostat, chess-playing game, etc.

200

What does input mean?

The prompt that is given to AI to process.

200

Limited memory AI can retain all past data indefinitely to make decisions.

False: Limited memory AI can only retain past data for a limited amount of time or for specific tasks. It doesn't store all past data indefinitely.

300

What is an AI reactive machine?

A reactive machine AI is a type of artificial intelligence that responds to specific inputs or stimuli with pre-programmed behaviors but doesn't retain memory or use past experiences to inform its decisions. Essentially, it reacts to the present situation without any learning or long-term decision-making.

300

What is an example of an AI theory of mind?

Robot interacting with humans, virtual assistant, self-driving car, etc.
300

What does output mean?

The response from the AI system after processing.

300

Theory of Mind AI can understand and simulate the mental states of other beings, like humans.

True: In theory, AI with a Theory of Mind would be able to predict and interpret the intentions, beliefs, and emotions of other agents, though this level of AI has not yet been achieved.

400

What is an AI self-awareness?

Self-awareness in AI refers to the concept of an artificial system having an understanding of its own existence, state, and potentially its environment in a way similar to human self-awareness. It's a level of consciousness where the system can recognize itself as an individual entity, able to reflect on its own actions, and understand how it fits into the broader context of the world around it.

400

What is an AI limited memory?

Machine learning models, Netflix, Amazon, self-driving cars, etc.

400

What is data?

Information that is stored and processed electronically. It can be numbers, words, measurements, or descriptions

400

Reactive machines can learn from past experiences and adapt their behavior over time.

False: Reactive machines do not have memory and cannot learn from past experiences. They respond only to the current input based on predefined rules.

500

What is an AI limited-memory?

Limited memory is a concept in AI that refers to the ability of a system to use past experiences or data to inform its decisions, but only for a limited time or to a limited extent. In this model, the AI can recall specific information from the past and use it to improve its performance or decision-making, but it doesn’t retain or learn indefinitely like a human brain might.

500

What is an AI self-awareness?

Self-aware AI is still a concept more of philosophical and theoretical interest, as no existing AI systems today exhibit true self-awareness.

500

What does processing mean as it relates to AI?

Processing applies to anything you can possibly do with data, such as collection, recording, organizing, structuring, storing, adaptation or alteration, retrieval, consultation, use, disclosure by transmission, dissemination or otherwise making available, alignment or combination.

500

Machine learning algorithms require large amounts of data to make accurate predictions.

True: Machine learning models typically perform better with large, diverse datasets, as they use these to learn patterns and make predictions.

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