Difference between revisions of "AI in 15 Minutes or Less"
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| − | AI stands for artificial intelligence, which is the competency of a computer or a robot to perform not strictly pre-programmed tasks. Normally animals perform such tasks. They include (a) obtaining data through listening, reading, and graphic recognition, (b) processing data through its analysis and synthesis, and (c) representing the processed results through documents or behavior such as driving. | + | AI stands for [[artificial intelligence]], which is the competency of a computer or a robot to perform not strictly pre-programmed tasks. Normally animals perform such tasks. They include (a) obtaining data through listening, reading, and graphic recognition, (b) processing data through its analysis and synthesis, and (c) representing the processed results through documents, speech, or behavior such as driving. |
| − | Performing of "not strictly pre-programmed tasks" requires at least one specific capacity known as learning. | + | Performing of "not strictly pre-programmed tasks" requires at least one specific capacity known as [[learning]]. |
Revision as of 20:41, 29 December 2023
Contents
Introduction
What AI is
AI stands for artificial intelligence, which is the competency of a computer or a robot to perform not strictly pre-programmed tasks. Normally animals perform such tasks. They include (a) obtaining data through listening, reading, and graphic recognition, (b) processing data through its analysis and synthesis, and (c) representing the processed results through documents, speech, or behavior such as driving.
Performing of "not strictly pre-programmed tasks" requires at least one specific capacity known as learning.
Learning is the process of acquiring new understanding, knowledge, behaviors, skills, values, attitudes, and preferences. Learning can occur through different methods, such as instruction, study, observation, experience, or practice. Learning can also be influenced by factors such as motivation, curiosity, feedback, and memory. Learning is essential for human development, adaptation, and innovation.
AI can be divided into two types: narrow AI, which is designed for specific tasks, and general AI, which can learn and perform any task that humans can. AI is a rapidly evolving field that has many applications and challenges in the modern world.
why it is important, and how it is changing the world. Give some examples of AI applications in various domains, such as health, education, entertainment, etc.
AI Concepts
Introduce some key AI concepts, such as machine learning, deep learning, neural networks, natural language processing, computer vision, etc. Explain how they work and what they can do.
AI Implementations
Show some demonstrations of AI implementations, such as generative AI, chatbots, image recognition, speech synthesis, etc. Explain how they are built and what challenges they face.
AI Ethics
Discuss some ethical issues related to AI, such as bias, privacy, accountability, transparency, etc. Explain why they matter and how they can be addressed.
Conclusion
Summarize the main points of the training, highlight the benefits and limitations of AI, and encourage the participants to explore more AI resources and opportunities.
Courses
(1) Artificial Intelligence Fundamentals Certificate | ISACA. https://www.isaca.org/credentialing/artificial-intelligence-fundamentals-certificate. (2) 18 Best Free AI Training Courses for 2023: Build Skills Now - Tech.co. https://tech.co/news/best-free-ai-training-courses. (3) Generative AI for Everyone | Coursera. https://www.coursera.org/learn/generative-ai-for-everyone. (4) Introduction to Artificial Intelligence (AI) | Coursera. https://www.coursera.org/learn/introduction-to-ai. (5) How to Learn Artificial Intelligence: A Beginner’s Guide. https://www.coursera.org/articles/how-to-learn-artificial-intelligence.
