Topic 13 and 14 Vocabulary

Question 1

Artificial Intelligence

Answer 1

the ability of a computer to do tasks that are usually done by humans because they require human intelligence.

Question 2

Biases

Answer 2

an anomaly in the output of machine learning algorithms, due to the prejudiced assumptions made during the algorithm development process or prejudices in the training data.

Question 3

Deep Learning

Answer 3

a type of machine learning, runs inputs through a biologically-inspired neural network architecture.

Question 4

General AI

Answer 4

is the intelligence of machines that allows them to comprehend, learn, and perform intellectual tasks much like humans. machines can emulate the human mind and behavior to solve any kind of complex problem.

Question 5

Generative Artificial Intelligence

Answer 5

describes algorithms (such as ChatGPT) that can be used to create new content, including audio, code, images, text, simulations, and videos. Fall under the broad category of machine learning.

Question 6

Hallucinations

Answer 6

incorrect or misleading results that AI models generate. These errors can be caused by a variety of factors, including insufficient training data, incorrect assumptions made by the model, or biases in the data used to train the model.

Question 7

Machine Learning

Answer 7

algorithms that detect patterns and learn how to make predictions, recommendations and decisions.

Question 8

Narrow AI

Answer 8

s a specific type of artificial intelligence in which a learning algorithm is designed to perform a single task, and any knowledge gained from performing that task will not automatically be applied to other tasks.

Question 9

Natural Language

Answer 9

refers to the branch of computer science—and more specifically, the branch of artificial intelligence concerned with giving computers the ability to understand text and spoken words in much the same way human beings can.

Question 10

Neural Networks

Answer 10

This is how the human brain functions: each neuron performs its own simple calculation, and the network formed by all of the neurons multiplies the potential of these calculations.

Question 11

Supervised Learning

Answer 11

the machine relies on human intervention. The person provides the bases of the machine’s knowledge so it can then understand how to use them and propose improvements, which will be systematically validated by a human before being implemented.

Question 12

Unsupervised Learning

Answer 12

the machine doesn’t require this human validation component. It performs the research, identifies new knowledge and memorizes it all on its own.

Question 13

Business Innovation

Answer 13

an enterprise’s culture and process for introducing new services or products.

Question 14

Divergence

Answer 14

looking at a problem, issues or questions from a different perspective.

Question 15

Disruptive

Answer 15

new technology or business model that changes existing market

Question 16

Ideation

Answer 16

the process of forming ideas from conception to implementation, most often in a business setting.

Question 17

Incremental

Answer 17

gradual, continuous improvement on existing products or services.

Question 18

Innovation

Answer 18

process of translating an idea into a good or service that creates value for which customers will pay.

Question 19

Radical

Answer 19

breakthrough that transforms an industry and /or creates new market.

Question 20

Sustaining

Answer 20

significant improvement to maintain existing market share.