ISM Artificial Intelligence

Select the true statements about deep learning.

One of the benefits of deep learning is that portions of the learning process are automated, eliminating some of the need for human intervention. Deep learning is often referred to as scalable learning. Deep learning is a type of artificial intelligence that uses data and algorithms to create learning.

Which of the following are true statements about bias in AI?

Cognitive bias includes conscious or unconscious errors in cognition that impact an individual's judgments, assumptions, and decision making. AI bias is defined as variance that exists in the output provided by AI algorithms. Biases in AI often result from two factors: cognitive bias or incomplete data.

Select the true statements about unsupervised learning.

In unsupervised learning, clustering is used. Unsupervised algorithms are used to uncover hidden associations within data sets or patterns within data sets that may go unnoticed without the assistance of humans. In unsupervised learning, machine learning algorithms are used to examine and cluster unlabeled data sets.

Which of the following are guiding principles for the ethical use of AI?

Incorporate transparency and accountability concerning AI practices. Follow laws, rules, and standards covering AI. Implement data security and privacy principles.

The variance that exists in the output provided by AI algorithms is referred to as AI

bias

Select the true statements about machine learning.

AI can learn from machine learning models created by inputs and analysis of anticipated outputs. Machine learning uses data and algorithms to emulate the way humans learn. Machine learning systems improve their accuracy gradually through a continual process of learning.

Put the six steps of the of the Amazon Web Services (AWS) deep learning process in the correct order.

Collect data choose and optimize the algorithm set up and manage train, retrain deploy models scale

The FTC acknowledged that AI has the potential to advance almost every industry, but all of this potential comes with some negative risks that must be addressed. Concerning AI, which of the following does the FTC urge organizations to provide evidence of?

Explain how algorithms make decisions. Hold themselves accountable for compliance, ethics, fairness, and nondiscrimination. Ensure that decisions are fair, robust, and empirically sound.

Select the true statements about generative adversarial networks (GANs).

The neural networks in a GAN include a generative network. The neural networks in a GAN include a discriminative network. GANs are designed to compete against each other (this is why they are termed adversarial) to create artificial instances of data that are interpreted as real data.

Which of the following are steps of the Amazon Web Services (AWS) deep learning process?

Train, retrain, and tune the models. Choose and optimize the algorithm. Scale and manage the production environment.

Select the true statements about supervised learning.

A classification model is designed when machine learning allocates a label value to a specific class and then seeks to recognize these values to decide what categories they fit into. In supervised learning, class labels are used to create the classification model. Supervised learning uses data class labels within data sets that specify what the data represents.

Select the true statements about how machine learning can be used to solve a problem.

Algorithms created by machine learning take data and answers to questions and use this to develop a machine learning model. Machine learning uses various data inputs to build an algorithm. If-then statements are often used in machine learning models.

Which of the following are true statements about trust in AI platforms?

Collaboration can help to build trust in AI platforms. Creating transparency is an important step in building trust in AI platforms. In a recent study by Deloitte, 67 percent of executives responded they are "not comfortable" using data from advanced AI systems.

Select the true statements about neural networks.

Interconnected artificial neurons are the main building blocks of simple neural networks. A neural network is a method in artificial intelligence that teaches computers to process data in a way that is inspired by the human brain. Neural networks are a type of machine learning process called deep learning.

The White House Office of Science and Technology Policy has identified ten principles to consider when articulating regulatory and non-regulatory methods for the development and use of AI. Principles identified by the White House Office of Science and Technology include which of the following?

cost/benefit analysis analysis of safety and security create public trust in AI

A type of artificial intelligence that uses data and algorithms to create learning is called Blank______ learning.

deep

A type of machine learning model that uses two neural networks is referred to as a(n) Blank______ adversarial network. These networks are designed to compete against each other (this is why they are termed adversarial) to create artificial instances of data that are interpreted as real data.

generative

Machine learning systems improve their accuracy gradually through a continual process of learning and rely on Blank______interaction and input to assist in creating learning.

human

Which of the following are neural network layers?

input layer hidden layer

In which of the following healthcare areas is AI used?

pharmaceuticals robotic surgery health tracking

A mathematical framework that can be used to analyze how much an algorithm recalls data and information about individuals is called differential

privacy

Which of the following are ethical considerations of AI?

privacy human judgement

Which of the following are machine learning methods?

reinforcement learning supervised learning unsupervised learning