Discover how augmented intelligence acts on behalf of people in the physical world, complementing human abilities and enhancing decision-making processes. Learn the key differences between machine learning, expert systems, cognitive computing, and augmented intelligence in the context of the IBM Artificial Intelligence Fundamentals certification exam.
Table of Contents
Question
Which of the following acts on behalf of people in the physical world in a way that complements human abilities?
A. Machine learning algorithms
B. Expert systems
C. Cognitive computing systems
D. Augmented intelligence
Answer
D. Augmented intelligence
Explanation
Augmented intelligence systems enhance human abilities. Examples include screen readers for the blind, voice-driven navigation, and in-car collision avoidance systems.
Augmented intelligence, also known as intelligence amplification or cognitive augmentation, refers to the use of artificial intelligence (AI) technologies to complement and enhance human abilities, rather than replacing them entirely. This approach focuses on creating a symbiotic relationship between humans and AI, where the strengths of both are leveraged to achieve better outcomes.
Here’s why the other options are incorrect:
A. Machine learning algorithms: While machine learning is a subset of AI that enables systems to learn and improve from experience without being explicitly programmed, it does not necessarily act on behalf of people in the physical world or complement human abilities directly.
B. Expert systems: Expert systems are AI programs that emulate the decision-making ability of a human expert in a specific domain. Although they can assist in decision-making processes, they do not actively interact with the physical world on behalf of people.
C. Cognitive computing systems: Cognitive computing systems aim to simulate human thought processes in a computerized model, often using machine learning and natural language processing. While they can enhance decision-making, they do not necessarily act on behalf of people in the physical world.
Augmented intelligence, on the other hand, is designed to work alongside humans, enhancing their capabilities and decision-making processes in the physical world. Examples include:
- Assistive robots that help with physical tasks, such as lifting heavy objects or performing precise surgical procedures, under human guidance.
- Intelligent decision support systems that provide real-time insights and recommendations to professionals, such as doctors or financial analysts, to improve their decision-making abilities.
- Augmented reality (AR) applications that overlay relevant information onto the physical world, enhancing human perception and understanding of complex situations.
By leveraging augmented intelligence, humans can benefit from the speed, accuracy, and data processing capabilities of AI while retaining control over the decision-making process and applying their own judgment and expertise.
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