IS - AI
A type of machine learning model that uses two neural networks is referred to as a ________ 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
Which of the following are neural network layers?
input hidden
Two subfields of AI include which of the following?
machine learning computer security
Which of the following services are provided by Cloud computing networks?
storage software applications processing
In which of the following areas of government is AI used?
Automation of Routine TasksAutomation of Routine Tasks MilitaryMilitary Policing
The variance that exists in the output provided by AI algorithms is referred to as AI
BIAS
The use of computer models that are designed to simulate human thought processes is referred to as ________ computing and is often used in complex environments where solutions may be ambiguous or difficult to uncover.
COGNITIVE
AI is the study and application of processes that combine ________ and data science to enable computer-assisted or automated problem-solving.
COMPUTER
Select the true statements about information architecture (IA).
IA is a crucial component of the overall AI strategy of an organization. IA is about helping people understand their surroundings and allowing them to find what they're looking for in the real world and online. Many experts agree that there is no AI without the analysis and implementation of IA
The ________ Ladder proposes a series of steps/considerations that breaks down AI strategy into individual pieces or rungs on a ladder to better connect data and Ai systems.
IBM
IBM's AI Ladder Approach to AI
INFUSE, ANALYSE, ORGANIZE, COLLECT
Which of the following are true statements about trust in AI platforms?
In a recent study by Deloitte, 67% of executives responded they are "not comfortable" using data from advanced AI systems. Creating transparency is an important step in building trust in AI platforms. Collaboration can help to build trust in AI platforms.
Select the true statements about unsupervised learning.
In unsupervised learning, machine learning algorithms are used to examine and cluster unlabeled data sets. 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, clustering is used.
Match the statement to the ethical consideration of AI
Privacy The goal of machine learning practitioners is to design models that garner ideas and insights from data sets without revealing specific or sensitive data found within the data set. Surveillance Countries across the globe have installed millions of cameras to actively monitor public spaces. This rapid deployment of monitoring systems is concerning to many civil rights activists. Bias and Discrimination Bias and discrimination in AI can be intentional or unintentional. The goal is to minimize the occurrence of bias in AI systems. Human Judgement Do humAns need to be involved in AI training and for AI systems to optimally run? Should this be a concern?
According to the Bureau of Labor Statistics, AI-related careers are predicted to increase by ________ percent by the year 2030.
31.4
Select the true statements about 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. Interconnected artificial neurons are the main building blocks of simple neural networks. Neural networks are a type of machine learning process called deep learning.
Which of the following are true statements about bias in AI.
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. Cognitive bias includes conscious or unconscious errors in cognition that impact an individual's judgments, assumptions, and decision making.
Select the true statements about deep learning.
Deep learning is a type of artificial intelligence that uses data and algorithms to create 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.
Match the definition to the correct neural network layer.
Input Layer Data and information from a variety of sources is entered into the neural network through this layer. Hidden Layer This layer processes data sent by the input layer or from other associated layers. Output Layer In this layer, information from the previous layers is analyzed. After this analysis occurs, a final prediction or conclusion is made.
Which of the following are Cloud-based AI applications?
IoT chatbots AIaaS
Select the true statements about machine learning.
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. AI can learn from machine learning models created by inputs and analysis of anticipated outputs
Select the true statements about how machine learning can be used to solve a problem.
Machine learning uses various data inputs such to build an algorithm. Algorithms created by machine learning take data and answers to questions and use this to develop a machine learning model. Machine learning models determine constraints.
Cognitive systems use a decision-making approach similar to that used by humans to analyze large data sets to make decisions. These systems use ________ language processing to read and process text like a human. They break down statements and sentences by analyzing them for grammar, structure, and relationships within the words
NATURAL
In which of the following health care areas is AI used?
PHARMACEUTICALS ROBOTIC SURGERY
Which of the following services are provided by cloud computing networks?
STORAGE SOFTWARE APPLICATION
Which of the following are steps of the Amazon Web Services (AWS) deep learning process?
Scale and manage the production environment. Train, retrain, and tune the models. Choose and optimize the algorithm.
Select the true statements about generative adversarial networks (GANs).
The neural networks in a GAN include a discriminative network. The neural networks in a GAN include a generative 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 if the following are popular AI career fields?
USER EXPERIENCE AI ENGINEER
Select the true statements about supervised learning.
Uses data class labels within datasets that specify what the data represents.Uses data class labels within datasets that specify what the data represents. In supervised learning, class labels are used to create the classification model.In supervised learning, class labels are used to create the classification model. 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
Which of the following are ethical considerations of AI?
bias and discrimination surveillance privacy
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?
create public trust in AI analysis of safety and security cost/benefit analysis
Which of the following are guiding principles for the ethical use of AI?
design AI technologies that are socially beneficial avoid forming or reinforcing unfair bias in AI follow laws, rules, and standards covering AIfollow laws, rules, and standards covering AI Correct
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 machine learning methods?
supervised learning unsupervised learning reinforcement learning