ism 3011 ai

IBM's AI Ladder Approach to AI

Infuse Analyze Organize Collect

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

According to John McCarthy from Stanford University, artificial intelligence (AI) is "the science and engineering of making intelligent machines and intelligent computer programs. It is related to the similar task of using computers to understand Blank______ intelligence, but AI does not have to confine itself to biologically observable methods."

human

Many AI and computer science degree paths have inter-related requirements, including coursework in computer programing, especially

python

Which of the following are popular college majors/emphasis areas for college students interested in preparing for a career in AI?

statistics data science computer science

Which of the following services are provided by Cloud computing networks?

storage software applications processing

Select the true statements about information architecture.

IA is about helping people understand their surroundings and allowing them to find what they're looking for in the real world and online. IA is a crucial component of the overall AI strategy of an organization. Many experts agree that there is no AI without the analysis and implementation of IA.

Which of the following are neural network layers?

Input layer Hidden layer

Identify current business applications and uses of AI.

accounting AIOps sales and marketing

Which of the following are popular AI career fields?

machine learning engineer AI engineer data scientist

In which of the following areas of government is AI used?

military automation of routine tasks policing

Cognitive systems use a decision-making approach similar to that used by humans to analyze large data sets to make decisions. These systems use Blank______ 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

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

privacy

In a recent study by Deloitte, (blank) percent of executives responded they are "not comfortable" using data from advanced AI systems.

67

Reinforcement Learning

Covers decision-making processes and focuses on using machine learning to analyze a scenario which in turn creates learning.

Advantages of Cloud-based AI

Enhanced security Cost savings Increased efficiency Data management

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. Biases in AI often result from two factors: cognitive bias or incomplete data. AI bias is defined as variance that exists in the output provided by AI algorithms.

Human Values in AI

Humans have to calculate the potential risks and consequences of their actions based on a number of factors, including morals and values.

Select all that apply 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.

Potential Drawbacks of AI

Job losses due to automation Privacy concerns

Interagency Coordination

Sharing of experiences and best practices for AI governance should be maintained between governmental agencies.

Scientific Integrity and Information Quality

The establishment and maintenance of high standards as they relate to AI information quality and decision making can assist in gaining public trust and confidence in 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.

Hidden Layer

This layer processes data sent by the input layer or from other associated layers.

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.

Select the true statements about the process of learning AI.

AI programs need data to create output. AI relies heavily on algorithms to process data and create output.

Design AI technologies that are socially responsible.

AI technologies should be advantageous for diverse populations and society as a whole.

Transparency

Creating output that can be shared with the public about how systems use data and interact with populations should be available.

Input Layer

Data and information from a variety of sources is entered into the neural network through this layer.

Collaboration

Experts agree that a multidisciplinary effort to advance AI is needed. Authorities across many disciplines need to establish a common set of standards and platforms.

Potential Positive Outcomes of AI

Increased productivity Decreased human risk and injury Diminished human-caused errors

Two subfields if AI include which of the following?

machine learning deep learning

Which of the following are popular AI career fields?

user experience AI engineer

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

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

Disadvantages of Cloud-based AI

Data privacy Internet connectivity concerns Lack of platform control

Select the true statements about deep learning.

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. One of the benefits of deep learning is that portions of the learning process are automated, eliminating some of the need for human intervention.

Incorporate transparency and accountability concerning AI practices.

Disclosure of AI practices, procedures, applications, and methods is encouraged in order to create and maintain a positive AI culture.

Human Judgement

Do humans need to be involved in AI training and for AI systems to optimally run? Should this be a concern?

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?

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

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

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

Disclosure and Transparency

There must be a method to detect when AI is in use as well as a way to address possible impacts of AI on end-users.

Supervised Learning

Uses data class labels within datasets that specify what the data represents. These class labels are used to create the classification model.

In which of the following business areas is AI used?

accounting AIOps sales and marketing

Which of the following are popular college majors/emphasis areas for college students interested in preparing for a career in AI?

artificial intelligence computer science

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

bias

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

bias

Which of the following are ethical considerations of AI?

bias and discrimination surveillance privacy

Which of the following are Cloud-based AI applications?

chatbots AIaaS IoT

AI is the study and application of processes that combine ________ and data science to enable computer-assisted or automated problem-solving.

computer

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

Select all that apply Which of the following are potential positive outcomes of AI?

diminished human-caused errors decreased human risk and injury increased productivity

Put the steps for how an image of a house can be created using GANs in the correct order.

gan fed actual image generator is fed random inputs Generator creates a sample based on these inputs if the discriminator chooses the real image instead of the generated image, the system will continue to develop/adjust generated images

According to the Bureau of Labor Statistics, AI-related careers are predicted to increase by percent by the year 2030.

31.4

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.

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.

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.

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

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. The neural networks in a GAN include a generative network.

Select the true statements about unsupervised learning.

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. In unsupervised learning, machine learning algorithms are used to examine and cluster unlabeled data sets.

Public Participation

When financially feasible and including adherence to legal requirements, organizations should allow the public to be part of the AI rule-making processes and procedures.

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.

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

Steps to learn about AI

Understand algorithm procedures and development. Learn about data collection and analysis. Join online AI communities.

The use of computer models that are designed to simulate human thought processes is referred to as Blank______ computing and is often used in complex environments where solutions may be ambiguous or difficult to uncover.

cognitive

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

The Blank______ 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

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.

Avoid forming or reinforcing unfair bias in AI systems.

Data sets and algorithms used in AI systems often include (whether intentional or unintentional) unfair or misrepresentational prejudice.

Output Layer

In this layer, information from the previous layers is analyzed. After this analysis occurs, a final prediction or conclusion is made.

Unsupervised Learning

Machine learning algorithms are used to examine and cluster unlabeled data sets.

Which of the following are steps you can take to learn about artificial intelligence (AI)?

Learn about the math used in AI. Study computer programming languages. Take free online courses and find free online resources covering AI.

In which of the following healthcare areas is AI used?

pharmaceuticals robotic surgery health tracking