introduction to AI

Which statement best describes neuromorphic computing?

It seeks to imitate how the human brain works from a hardware perspective.

Suppose you own a bagel shop and you have collected data that tells you how many bagels you sold each hour of the workday for the last 30 days. What could you determine by doing time series forecasting?

Predicting the number of bagels that will be sold next week.

Which of these is a programming language used to develop AI applications?

python

Which advantage of AI-based diagnostic systems refers to building on data from hundreds of thousands of patients to improve diagnostic results?

scope

Which of these is an example of a marketing application that uses NLP?

sentiment analysis

When creating a machine learning model, a highly accurate model is likely to have what drawback?

Computationally expensive

In what type of network does each layer apply a function to the output of the previous layer, resulting in a new function that is a mixture of the two?

Convolutional neural network

Which of these is a component of a time series decomposition?

Cyclic

Which of these is an example of a time series?

The number of customers who came in a store each day in the last year.

What is the purpose of ImageNet?

To provide a large dataset for image recognition training

Which situation best describes a type of problem that is a good candidate for a robot?

Welding two metal panels together

What type of algorithmic bias occurs when training data is not sufficiently diverse due to lack of access to a broad range of examples?

availability bias

What type of learning method uses generator and discriminator sub-modules to train an AI to generate data that is so realistic that it can't be distinguished from original data?

Generative adversarial network

Which of these is an off-the-shelf word-embedding model that researchers and practitioners can use to train AI to map words into a vector space?

word2vec

Which of these is the most important factor in avoiding unintentional bias in an AI system?

A large and diverse set of training data

Which is an example of an artificial neural network that uses a simple set of inputs and weights to produce a single output?

A single-layer perceptron

Which type of AI is most commonly in use today?

Artificial narrow intelligence

Which type of AI may raise some ethical challenges because it involves AI programs that have human-like consciousness?

Artificial super intelligence

What type of AI, developed in the 1980s, asked human experts for input on how to behave in different scenarios and used that information to build a body of knowledge?

Expert systems

Which of these types of AI compares two pictures to determine if they are similar enough to be considered a match?

Biometric authentication

Which of these is the first step in the AI development pipeline?

Problem identification

When you open your favorite music streaming app, you see a new custom playlist created especially for you by an AI app. What is this an example of?

Recommendation engine

What kind of machine learning requires using labeled data for training?

Supervised learning

Which of these is a characteristic of the relationship between a human and an AI recommendation engine?

The AI can affect the way the human thinks about a subject.

Which of these types of data is suitable for forecasting?

Univariate

Input into an artificial neuron is multiplied by what value to determine its importance?

Weight

Which of these methods of converting text to vectors is able to account for dependencies among words by using a similar encoding for similar words?

Word embedding

How many hidden layers does a deep neural network have?

at least 2

What AI technology might enable a company to employ fewer human customer service representatives?

chatbot

Template matching, knowledge based, and feature based are three types of what?

facial recognition

Which of these is an AI-as-a-service product?

Amazon Comprehend

Which of these is the best example of artificial intelligence?

An application that plays a game against a human and gets better at it over time

A company relies on AI to analyze past performance and predict what is likely to happen in the future. What is this an example of?

Business analytics

When deploying AI in an organization, which of these job functions provides the most essential input on the project?

Business analytics

What are the two main factors that have led to recent advances in AI research and development?

Computing advances and data availability

Which of these is a business sector that is NOT expected to lose jobs because of AI automation?

Healthcare

Why would it be difficult to create an airplane that is flown entirely by a robot?

High cost of failure

Which of these is a characteristic of a task that is a good candidate for a robot to perform?

In a controlled environment

Which of these careers is most likely to become obsolete in the future because AI will be able to do the job more effectively and at lower cost?

Insurance underwriting

Why is biased output undesirable?

It does not produce the best, most objective solution.

Why was the first industrial robot, Unimate, able to be successful?

It used a hydraulic manipulator arm in a highly controlled, non-variable environment.

What will be one likely result of advances in storage technologies on future AI projects?

It will be possible to train using larger data sets.

When you need to take historical data into account when classifying items, what type of neural network would you use?

Long short-term memory

Which term refers to mapping human language input into a format that a machine can understand?

Natural language understanding

Which of these is an area where more research is needed in order for AI to match human performance levels?

Object handling

What type of machine learning trains the AI using positive and negative feedback rather than a large set of historical data?

Reinforcement learning

Which of these is a business analytics software suite that uses AI to make business decisions?

Salesforce

Which of these is an emerging AI technology that is not yet available except in a very limited way?

Self-driving cars

Which of these professionals would be most useful on an AI research team?

Software engineer

How will the increasing use of AI systems most likely affect workers' jobs in the near future?

Some jobs will disappear, and other jobs will change.

How has task automation changed the job markets in the past?

Some old jobs became obsolete, but new jobs have also been created.

How have IBM, Amazon, and Microsoft responded to complaints that their facial recognition software is being used for mass surveillance and racial profiling?

They have stopped offering their software to law enforcement due to the high-stakes nature of its use.

Suppose you are a biologist studying the relationship between temperature and a certain insect's population, and you have collected weekly data for the last five years. What type of analysis would you do in order to translate this data into an algorithm formula?

Univariate time series analysis

Which of these is the best definition of interpretability in AI?

Users can understand the cause-and-effect relationship between input and output.

What problem might you have if you train your algorithm with data that is not sufficiently diverse?

overfitting

Which of these is a humanoid robot capable of interacting with humans through speech recognition?

pepper

What do computers use to store images and in making decisions for image recognition?

pixels

Which view of the future posits that AI will create unprecedented wealth and well-being while freeing humans to pursue creative endeavors?

Utopian

Which of these is a pre-trained language model trained on a large dataset that predicts the next word in a sentence?

GPT-2

Which of these is an essential part of training an algorithm to accurately recognize the subject of an image?

A large training dataset

What is the process of identifying and extracting features from data with data mining techniques called?

Feature engineering

A shipping company uses AI to determine how many extra workers they will need for the holiday season. What is this use of AI an example of?

Forecasting