Class 2 AI & Robotics

Intelligence

The ability to learn, reason, solve problems, and understand complex ideas, which can be assessed through various types of intelligence.

Types of Intelligence

Different categories of intelligence including linguistic, logical, spatial, bodily, musical, interpersonal, intrapersonal, and naturalist.

Turing Test

A test devised by Alan Turing to determine if a machine exhibits intelligent behavior indistinguishable from that of a human.

Artificial Intelligence (AI)

Systems or machines that mimic human intelligence and capabilities such as learning, reasoning, and problem-solving.

Intelligent Agents

Autonomous entities that perceive their environment and act to maximize their chances of success within that environment.

Deep Learning

A subset of machine learning utilizing neural networks with many layers to analyze various forms of data.

Autonomous Intelligence

AI that operates independently without human intervention, capable of making its own decisions.

Augmented Intelligence

AI that enhances human decision-making capabilities rather than replacing human judgment.

Impacts of AI

The significant effects of AI on productivity, job creation, economic growth, and innovation in various sectors.

Robotics

Machines that perform tasks with some level of autonomy, often utilizing AI for enhanced decision-making capabilities.

Decision Support Systems (DSS)

AI-driven tools that assist humans in making decisions by processing data and providing insights.

Natural Language Processing (NLP)

A field of AI that enables machines to understand and respond to human language.

Machine Learning

A branch of AI focusing on the development of algorithms that allow computers to learn from data.

Chatbots

AI applications designed to simulate conversation with users, often used for customer service or information retrieval.

Expert Systems

AI systems that leverage a knowledge base to emulate the decision-making ability of a human expert.

Economic Inequality

The disparity in economic resources and job opportunities intensified by the implementation of AI technologies.

Productivity Gains

Increases in efficiency and output driven by automation and the optimization of processes through AI.

Machine Vision

An application of AI that enables machines to interpret and make decisions based on visual input.

Predictive Analysis

Utilizing AI to analyze data patterns to predict future outcomes.

Robotic DSS

Systems that integrate robotics, AI, and data processes to automate decision-making in various tasks.

Neural Networks

Algorithms modeled after the human brain that are used for data processing and analysis in AI.

Simulated Environments

Artificial settings created to test and evaluate AI behaviors and performance in scenarios without real-world risks.

Smart Systems

AI-driven systems that can adapt and learn in real-time, enhancing decision-making processes.

AI Limitations

The constraints of AI systems, including lack of emotional understanding and potential over-reliance by humans.