Introduction to AI and Major Technologies
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Questions and Answers

What is one of the primary learning outcomes concerning artificial intelligence?

  • Evaluate the ethical implications of artificial intelligence
  • Understand the concepts of artificial intelligence (AI) (correct)
  • Explain the historical development of artificial intelligence
  • Identify the limitations of artificial intelligence technology

    • Which area does not have a specified AI application according to the provided content?

  • Human Resource Management (HRM)
  • Marketing
  • Accounting
  • Environmental Science (correct)

    • What major topic is considered a driver for decision-making support systems?

  • Decreased computing power
  • Minimal user engagement
  • Reduction in internet usage
  • Increased data availability (correct)

    • Which technology is explicitly mentioned as a part of AI applications in business?

    <p>Natural Language Processing</p> Signup and view all the answers

    In which of the following fields is AI not listed as applicable according to the provided content?

    <p>Supply Chain Management</p> Signup and view all the answers

    What distinguishes augmented AI from traditional AI?

    <p>It can solve complex problems in various domains.</p> Signup and view all the answers

    Which of the following is NOT considered a sign of human intelligence?

    <p>Completing repetitive tasks efficiently</p> Signup and view all the answers

    What is the primary goal of the Turing Test?

    <p>To determine if a computer exhibits intelligent behavior.</p> Signup and view all the answers

    In which area have AI machines shown superiority over humans?

    <p>Playing complex games like chess and Go.</p> Signup and view all the answers

    Which of the following statements is true regarding the current state of AI applications?

    <p>Many applications exhibit lower intelligence levels than humans.</p> Signup and view all the answers

    Which of the following best describes the learning capability of AI machines compared to humans?

    <p>AI cannot learn from real-world experiences.</p> Signup and view all the answers

    What does augmentation in AI focus on regarding human involvement?

    <p>Supporting and improving human decision making.</p> Signup and view all the answers

    Which of the following abilities is NOT a characteristic of artificial intelligence?

    <p>Understanding human emotions.</p> Signup and view all the answers

    What role does deep learning (DL) play in autonomous vehicles?

    <p>Interpretation of road signs and obstacles</p> Signup and view all the answers

    Which of the following best describes machine vision?

    <p>Methods for imaging-based automated inspection and analysis</p> Signup and view all the answers

    What is the main objective of computer vision?

    <p>To automate tasks performed by the human visual system</p> Signup and view all the answers

    How does video analytics relate to computer vision?

    <p>It applies computer vision techniques to analyze video data.</p> Signup and view all the answers

    What characterizes an 'intelligent' robot?

    <p>It has sensors to collect information and adapt to the environment.</p> Signup and view all the answers

    What feature of the robots used in Walmart is highlighted?

    <p>They use cameras to scan for misplaced items.</p> Signup and view all the answers

    Which of the following statements about natural language processing (NLP) is true?

    <p>NLP allows users to interact with computers in their own language.</p> Signup and view all the answers

    In what way do machine vision and computer vision work together in applications?

    <p>Machine vision uses computer vision to achieve scene recognition.</p> Signup and view all the answers

    What is a key characteristic of augmented reality (AR)?

    <p>It integrates digital information with a user's real environment.</p> Signup and view all the answers

    What is one of the primary goals of NLP generation?

    <p>To allow computers to produce ordinary spoken language</p> Signup and view all the answers

    Which factor is crucial when determining the justification for using AI in decision-making?

    <p>The nature of the decision being made.</p> Signup and view all the answers

    Which of the following best describes knowledge-based expert systems?

    <p>Systems that store knowledge to generate expert advice</p> Signup and view all the answers

    What is the first step in the AI-supported decision-making process?

    <p>Problem identification.</p> Signup and view all the answers

    How are chatbots classified in the context of intelligent systems?

    <p>As conversational robots using NLP technology</p> Signup and view all the answers

    What is necessary for large-scale decision making when using AI?

    <p>Cost-benefit and risk analyses.</p> Signup and view all the answers

    Which technology is mentioned as useful for generating alternative solutions in AI support?

    <p>Case-based reasoning.</p> Signup and view all the answers

    What is the focus of effective computing technologies?

    <p>to detect emotional conditions of people</p> Signup and view all the answers

    What process is essential for intelligent systems to acquire knowledge?

    <p>Knowledge acquisition through various sources</p> Signup and view all the answers

    What does the process of automated decision making begin with?

    <p>Knowledge acquisition.</p> Signup and view all the answers

    In which area is biometric analysis used?

    <p>To verify identity using biological traits</p> Signup and view all the answers

    What aspect is critical for evaluating the performance of AI algorithms in decision making?

    <p>Comparison to established performance standards.</p> Signup and view all the answers

    In the AI decision-making framework, how are complex situations handled?

    <p>They are forwarded to human decision-makers.</p> Signup and view all the answers

    What role does cognitive computing serve in AI?

    <p>To replicate human cognitive abilities</p> Signup and view all the answers

    Which of these is NOT a characteristic of recommendation systems?

    <p>They are primarily designed for automated decision-making</p> Signup and view all the answers

    Study Notes

    Introduction to AI

    • Artificial intelligence (AI) aims to create machines capable of human levels of intelligence.
    • AI systems can learn from experience, interpret ambiguous information, respond to new situations, apply knowledge, and solve problems.

    Human and Computer Intelligence

    • Human intelligence is measured by an IQ test.
    • AI machines excel in complex games, but often show less intelligence than humans in other areas.
    • The Turing Test measures AI intelligence by determining if a human can distinguish between a computer and another human in a conversation.

    Major AI Technologies and Derivatives

    • Machine learning (ML) allows computers to learn without explicit programming.
    • Deep learning (DL) is a subset of ML that uses artificial neural networks to learn from large datasets.
    • Machine vision provides imaging-based automated inspection and analysis for tasks like robot guidance and autonomous vehicles.
    • Computer vision enables computers to understand digital images and videos, often coupled with machine vision for applications like visual quality control.
    • Natural language processing (NLP) allows communication between humans and computers in natural language.
    • Speech/Voice Understanding facilitates computer comprehension of spoken languages.
    • Machine Translation enables computers to translate languages.

    Knowledge and Expert Systems

    • Knowledge-based expert systems store knowledge used for expert advice and problem-solving.
    • Recommendation systems are knowledge-based systems that provide recommendations to users.
    • Chatbots are conversational robots that use NLP to communicate with humans.

    Emerging AI Technologies

    • Effective computing detects emotional conditions of people and suggests solutions.
    • Biometric analysis verifies identity based on biological traits (e.g., facial recognition).
    • Cognitive Computing applies knowledge from cognitive science to enable computers to support decision-making.
    • Augmented Reality (AR) overlays digital information onto the real world.

    AI Support for Decision Making

    • AI can be applied to various stages of the decision-making process, including problem identification, generating solutions, selecting solutions, and implementing solutions.
    • Automated Decision Making involves creating a knowledge repository and using it to generate responses to user queries.

    Issues and Factors in Using AI in Decision Making

    • The nature of the decision, method of support, and cost-benefit analysis influence the justification and success of using AI.
    • AI algorithms and business rules are crucial for automated decisions and decision support.

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    Related Documents

    Decision Support Systems Module 2 PDF

    Description

    Explore the fascinating world of artificial intelligence, its capabilities, and how it compares to human intelligence. This quiz covers key concepts in AI, including machine learning, deep learning, and various technologies that enhance computer perception and cognition.

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