Digital Skills Course - Chapter 3: Understanding Artificial Intelligence (PDF)

10/19/2024 DIGITAL SKILLS COURSE CHAPTER 3 :UNDERSTANDING ARTIFICIAL INTELLIGENCE (AI) AN OVERVIEW OF AI CONCEPTS, APPLICATIONS, AND IMPLICATIONS. CONTENTS 1. What is Intelligence? 2. What is Artificial I...

10/19/2024 DIGITAL SKILLS COURSE CHAPTER 3 :UNDERSTANDING ARTIFICIAL INTELLIGENCE (AI) AN OVERVIEW OF AI CONCEPTS, APPLICATIONS, AND IMPLICATIONS. CONTENTS 1. What is Intelligence? 2. What is Artificial Intelligence (AI)? 3. Types of AI 4. Weak AI 5. Some Benefits and applications of AI 6. Ethical considerations in AI 7. The Future of AI 8. Current state of AI 9. Generative AI example: ChatGPT Start using ChatGPT Prompt examples 1  10/19/2024 What is Intelligence? Intelligence is the capacity for abstraction, logic, understanding, self-awareness, learning, emotional knowledge, reasoning, planning, creativity, critical thinking, and problem-solving. Human intelligence is unique because it involves self-awareness, consciousness, intuition, and creativity. What is Artificial Intelligence (AI) ? Artificial Intelligence (AI) is a branch of computer science, and it refers to the simulation of human intelligence in machines, enabling them to perform tasks that typically require human intelligence. 2  10/19/2024 Types of AI Types of AI General AI (Strong AI or Narrow AI (Weak AI) AGI) Superintelligent AI (ASI) Hypothetical AI that possesses A theoretical form of AI that AI systems designed and the ability to understand, learn, surpasses human trained to perform specific and apply knowledge across a tasks. intelligence in all aspects wide range of tasks, much like a (Chatgpt , siri) human. (doesn't exist yet). (doesn't exist yet) Weak AI Artificial intelligence today is called weak AI because it simulates thinking and did not reach to the level of human intelligence yet. 3  10/19/2024 Weak AI tasks Weak AI can only perform specific tasks such as: problem- Learning Perception solving Natural Reasoning Language processing Weak AI tasks an act of defining a problem; determining the cause of the problem; identifying, Problem prioritizing, and selecting alternatives for a solution; and implementing a solution. solving: (example: Google maps) Logical deriving new information from existing information using logical rules and principles. Reasoning: (example: Computer Chess game) It is the acquisition of information, knowledge, and skills resulted from experience. Learning: (example: social media algorithms) is the process of interpreting the environment to produce a meaningful experience of Perception: the world. Intelligent agents can perceive their environment, learn from experience, and take actions to achieve specific goal (example: self driving cars) Natural language the ability to interpret, manipulate, and comprehend human language processing (example: ChatGPT) (NLP): 4  10/19/2024 Some benefits and applications of AI Applications of AI Healthcare: AI helps doctors find diseases earlier and suggest better Faster Work: AI can do tasks much Benefits of AI treatments quicker than humans, like solving problems or analyzing data. Pharmacy: AI can help in the Helps in Daily Life: AI powers medication discovery process. things like voice assistants (Siri, Alexa), which make our lives easier by answering questions or helping Customer Service: Chatbots with tasks. powered by AI can answer our questions and solve problems Better Decisions: AI can help online, day or night. people make better decisions by giving useful suggestions, like showing us what to watch or buy Education: AI automates the based on our interests. grading process. Ethical Considerations in AI 5  10/19/2024 The Future of AI AI is increasingly influencing daily life, and it will lead to breakthroughs in various fields. 1. Ethical guidelines: We need to develop global standards and frameworks for the ethical guidelines for using AI. These ethical guidelines should be based on moral values that are broadly accepted across societies, ensuring an unbiased and equitable approach. 2. Human and AI: Humans should understand that AI will never replace them except when they decide to be replaced. Humans should understand that they are unique and should not depend on AI in all tasks. The future involves collaboration between humans and AI. Current state of AI Deeper Look to AI Term Definition Artificial Artificial Intelligence (AI): Teaching machines Intelligence to act like humans. Machine Learning (ML): This is a type of AI where Machine machines learn from data. they analyze data to find Learning patterns and make decisions using algorithms. Deep Learning : advanced type of Machine Deep Learning Learning. 6  10/19/2024 Current state of AI Important Terms Term Definition Examples Generative AI: This is a type of AI that can create new  GPT Generative AI content, like images, text, or music. It learns from  DALL-E (specialized for images) (Gen AI) existing data and then generates something similar but  LLMs ( specialized for generating text new, often using techniques from deep learning.  ChatGPT (OpenAI) Chatbots: AI tools that use Generative AI to mimic  Gemini (Google)  Copilot (Microsoft) Chatbots human conversation and answer questions  Poe Assistant (Anthropic) automatically.  Claude (Anthropic) Prompt A prompt is the input or question given to a chatbot for a response. Prompt Engineering Prompt Engineering involves writing prompts to get the best answers. Current state of AI Example Artificial Intelligence : We want the computer to recognize a cat picture, we use AI techniques to help the computer to understand what a cat by programming. Machine Learning (ML): With machine learning, we take a large number of cat pictures and let the computer analyze them. It learns to recognize patterns, like the shape of a cat's ears or the texture of its fur, and eventually can decide whether a new picture is likely to be a cat or not. Deep Learning: For deep learning, we would use a complex structure called a Neural Network to analyze the cat pictures​ Generative AI: we want the computer to create new cat pictures instead of just recognizing them, we’d use generative AI. It learns from a large dataset of cat images and then can produce entirely new, unique pictures of cats that didn’t exist before. So instead of just saying, “Yes, this is a cat,” it can actually draw you a picture of one!​ 7  10/19/2024 Current state of AI: Generative AI Generative AI example ChatGPT chatbot ChatGPT uses: Offering information on various topics. helping with writing like summarizing and paraphrasing Helping in brainstorming and problem-solving. Preparing plans and presentations Giving information about images and files Content creation Translation 8  10/19/2024 Generative AI example Start using ChatGPT Visit chat.openai.com or download the mobile app or open https://chatgpt.com/ Sign up for a free OpenAI account. Click 'New Chat' to start a conversation. Type your message or question into the chat interface. ChatGPT will generate a response in real-time. Continue the conversation or ask follow-up questions. Generative AI example Chatbot: prompt examples (ChatGPT, Copilot, Gemini, Claude) Use the following prompts: 1. Translate this paragraph to Arabic ( use ChatGPT, Copilot, Gemini): Deep learning is a subset of machine learning that uses neural networks with many layers (hence "deep") to model and understand complex patterns in large datasets. These neural networks are inspired by the structure and function of the human brain, with interconnected nodes (neurons) working together to process information. Deep learning algorithms excel in tasks such as image and speech recognition, natural language processing, and game playing, by automatically learning to extract relevant features from raw data. This approach reduces the need for manual feature engineering, making it highly effective for solving complex problems. Its success is largely due to advances in computational power, the availability of large datasets, and improvements in training algorithms. 2. Summarize this article: https://www.edutopia.org/article/5-blended-learning-strategies-middle-high-school/ 3. Explain the concept of Artificial Intelligence 4. (Enhanced prompt) Explain the concept of Artificial Intelligence in simple terms suitable for a high school student, and use headings 5. Prepare a presentation of 6 slides about Healthy life 6. Generate a diagram for water cycle in nature (Use ChatGPT, Claude) 7. Generate a picture for water cycle in nature (Use Gemini) 8. Explain the following image (use Claude, ChatGPT) 9