{"id":1417,"date":"2025-06-29T12:04:20","date_gmt":"2025-06-29T12:04:20","guid":{"rendered":"https:\/\/itxperts.co.in\/blog\/?p=1417"},"modified":"2025-08-02T09:10:00","modified_gmt":"2025-08-02T09:10:00","slug":"cbse-class-10-ai-unit-1-revisiting-ai-project-cycle-ethical-frameworks-for-ai","status":"publish","type":"post","link":"https:\/\/itxperts.co.in\/blog\/cbse-class-10-ai-unit-1-revisiting-ai-project-cycle-ethical-frameworks-for-ai\/","title":{"rendered":"CBSE Class 10 AI \u2013 Unit 1: Revisiting AI Project Cycle &#038; Ethical Frameworks for AI"},"content":{"rendered":"\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>A. Introduction to AI Project Cycle<\/strong><\/h2>\n\n\n\n<p>Artificial Intelligence (AI) is the ability of machines to perform tasks that usually require human intelligence, such as learning, decision-making, and problem-solving.<\/p>\n\n\n\n<p>To create any AI solution, we follow a proper method known as the <strong>AI Project Cycle<\/strong>. It consists of five important stages:<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>B. Five Stages of the AI Project Cycle<\/strong><\/h2>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>1. Problem Scoping<\/strong><\/h3>\n\n\n\n<p><strong>Meaning<\/strong>: Identifying and understanding the real-world problem that we want to solve using AI.<\/p>\n\n\n\n<p><strong>Steps in Problem Scoping<\/strong>:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Understand the <strong>problem<\/strong>.<\/li>\n\n\n\n<li>Identify the <strong>goal<\/strong>.<\/li>\n\n\n\n<li>Know the <strong>stakeholders<\/strong> (people who are affected by the problem).<\/li>\n\n\n\n<li>Define <strong>constraints<\/strong> (limitations like budget, time, tools).<\/li>\n<\/ul>\n\n\n\n<p><strong>SDGs (Sustainable Development Goals)<\/strong>: While identifying problems, we can connect them to global goals like Zero Hunger, Clean Water, Quality Education, etc.<\/p>\n\n\n\n<p><strong>Example<\/strong>: In a school canteen, students waste a lot of food. We want to reduce this food wastage.<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>2. Data Acquisition<\/strong><\/h3>\n\n\n\n<p><strong>Meaning<\/strong>: Gathering the correct data that is related to the problem.<\/p>\n\n\n\n<p><strong>Sources of Data<\/strong>:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Surveys<\/li>\n\n\n\n<li>Internet<\/li>\n\n\n\n<li>Sensors<\/li>\n\n\n\n<li>School records<\/li>\n\n\n\n<li>Social media<\/li>\n<\/ul>\n\n\n\n<p><strong>Types of Data<\/strong>:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Structured data<\/strong>: Tables, Excel sheets, rows and columns (e.g., student marks)<\/li>\n\n\n\n<li><strong>Unstructured data<\/strong>: Images, videos, audio, free text (e.g., photos, YouTube videos)<\/li>\n<\/ul>\n\n\n\n<p><strong>Example<\/strong>: Collect data of daily food cooked and wasted in the canteen over the last 30 days.<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>3. Data Exploration<\/strong><\/h3>\n\n\n\n<p><strong>Meaning<\/strong>: Understanding and preparing the data for training.<\/p>\n\n\n\n<p><strong>Main Tasks<\/strong>:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Cleaning the data<\/strong>: Removing errors or missing values.<\/li>\n\n\n\n<li><strong>Visualizing the data<\/strong>: Using graphs and charts to understand patterns.<\/li>\n\n\n\n<li><strong>Identifying features and labels<\/strong>:\n<ul class=\"wp-block-list\">\n<li><strong>Feature<\/strong>: Input value (e.g., day of the week)<\/li>\n\n\n\n<li><strong>Label<\/strong>: Output value (e.g., amount of food wasted)<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n\n\n\n<p><strong>Example<\/strong>: Check which days food is wasted more and why. You may find that Mondays have more wastage than Fridays.<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>4. Modelling<\/strong><\/h3>\n\n\n\n<p><strong>Meaning<\/strong>: Using machine learning algorithms to train a model on the data so it can make predictions.<\/p>\n\n\n\n<p><strong>Steps in Modeling<\/strong>:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Choose the type of model:\n<ul class=\"wp-block-list\">\n<li><strong>Supervised learning<\/strong> (when data has labels)<\/li>\n\n\n\n<li><strong>Unsupervised learning<\/strong> (when data has no labels)<\/li>\n<\/ul>\n<\/li>\n\n\n\n<li>Feed the training data into the model.<\/li>\n\n\n\n<li>Train the model to learn from the data.<\/li>\n<\/ul>\n\n\n\n<p><strong>Example<\/strong>: Train the model to predict food requirement based on previous records of meals.<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>5. Evaluation<\/strong><\/h3>\n\n\n\n<p><strong>Meaning<\/strong>: Checking whether the AI model is giving correct and useful results.<\/p>\n\n\n\n<p><strong>Methods of Evaluation<\/strong>:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Accuracy score<\/li>\n\n\n\n<li>Confusion matrix<\/li>\n\n\n\n<li>Precision and Recall<\/li>\n\n\n\n<li>Cross-validation<\/li>\n<\/ul>\n\n\n\n<p><strong>Example<\/strong>: Test if the food prediction model is actually reducing food wastage. If it works correctly in most cases, the model is successful.<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>C. Summary of the AI Project Cycle<\/strong><\/h2>\n\n\n\n<figure class=\"wp-block-table\"><table class=\"has-fixed-layout\"><thead><tr><th>Stage<\/th><th>Description<\/th><\/tr><\/thead><tbody><tr><td>Problem Scoping<\/td><td>Identify the real-world problem<\/td><\/tr><tr><td>Data Acquisition<\/td><td>Collect data related to the problem<\/td><\/tr><tr><td>Data Exploration<\/td><td>Understand and clean the data<\/td><\/tr><tr><td>Modelling<\/td><td>Train the AI model using data<\/td><\/tr><tr><td>Evaluation<\/td><td>Test the model and measure its performance<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>D. Training and Testing Data<\/strong><\/h2>\n\n\n\n<p>To train and test the model, we divide data into two parts:<\/p>\n\n\n\n<ol class=\"wp-block-list\">\n<li><strong>Training Data<\/strong> \u2013 Used to teach the model.<\/li>\n\n\n\n<li><strong>Testing Data<\/strong> \u2013 Used to check how well the model performs.<\/li>\n<\/ol>\n\n\n\n<p>Example: Out of 100 records, 80 can be used for training and 20 for testing.<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>E. Introduction to AI Ethics<\/strong><\/h2>\n\n\n\n<p>AI must be used responsibly. It should not cause harm, cheat people, or invade privacy.<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>F. Principles of Ethical AI<\/strong><\/h2>\n\n\n\n<ol class=\"wp-block-list\">\n<li><strong>Bias<\/strong> \u2013 AI should not favor any group or individual unfairly.<\/li>\n\n\n\n<li><strong>Fairness<\/strong> \u2013 Everyone should get equal and just treatment.<\/li>\n\n\n\n<li><strong>Transparency<\/strong> \u2013 People should know how decisions are made by AI.<\/li>\n\n\n\n<li><strong>Accountability<\/strong> \u2013 Humans should be responsible for what AI does.<\/li>\n\n\n\n<li><strong>Privacy<\/strong> \u2013 Personal data should be protected and not misused.<\/li>\n<\/ol>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>G. Examples of Ethical Issues in AI<\/strong><\/h2>\n\n\n\n<ul class=\"wp-block-list\">\n<li>A recruitment AI that always selects men is biased and unfair.<\/li>\n\n\n\n<li>A face-recognition app that uses people\u2019s photos without permission violates privacy.<\/li>\n\n\n\n<li>A chatbot spreading fake news causes misinformation and harm.<\/li>\n<\/ul>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>H. Responsible Use of AI<\/strong><\/h2>\n\n\n\n<p>Before creating or using any AI system, we must ask:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Is it fair?<\/li>\n\n\n\n<li>Is it safe?<\/li>\n\n\n\n<li>Is it private?<\/li>\n\n\n\n<li>Can I explain how it works?<\/li>\n\n\n\n<li>Am I using the data legally?<\/li>\n<\/ul>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>I. Case Study Activity for Students (Suggested)<\/strong><\/h2>\n\n\n\n<p><strong>Situation<\/strong>: An AI system used by a school to award scholarships starts rejecting female students more than males.<\/p>\n\n\n\n<p><strong>Ask Students<\/strong>:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Is the AI model biased?<\/li>\n\n\n\n<li>Which ethics principles are being violated?<\/li>\n\n\n\n<li>How would you correct the AI system?<\/li>\n<\/ul>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>J. Keywords to Remember<\/strong><\/h2>\n\n\n\n<figure class=\"wp-block-table\"><table class=\"has-fixed-layout\"><thead><tr><th>Term<\/th><th>Meaning<\/th><\/tr><\/thead><tbody><tr><td>Feature<\/td><td>Input variable used to train the model<\/td><\/tr><tr><td>Label<\/td><td>Output value we want the model to predict<\/td><\/tr><tr><td>Dataset<\/td><td>Collection of data used for AI<\/td><\/tr><tr><td>Model<\/td><td>The machine learning program trained on data<\/td><\/tr><tr><td>Evaluation<\/td><td>Measuring how well the model is working<\/td><\/tr><tr><td>Ethics<\/td><td>Rules about right and wrong behavior<\/td><\/tr><tr><td>Bias<\/td><td>Favoring or harming a group unfairly<\/td><\/tr><\/tbody><\/table><\/figure>\n","protected":false},"excerpt":{"rendered":"<p>A. Introduction to AI Project Cycle Artificial Intelligence (AI) is the ability of machines to perform tasks that usually require human intelligence, such as learning, decision-making, and problem-solving. To create any AI solution, we follow a proper method known as the AI Project Cycle. It consists of five important stages: B. Five Stages of the [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"googlesitekit_rrm_CAow44u0DA:productID":"","footnotes":""},"categories":[210,212],"tags":[201],"class_list":["post-1417","post","type-post","status-publish","format-standard","hentry","category-class-10th","category-subject-specific-skills-class-10th","tag-aiclass-x"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v26.9 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>CBSE Class 10 AI \u2013 Unit 1: Revisiting AI Project Cycle &amp; Ethical Frameworks for AI - Itxperts<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/itxperts.co.in\/blog\/cbse-class-10-ai-unit-1-revisiting-ai-project-cycle-ethical-frameworks-for-ai\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"CBSE Class 10 AI \u2013 Unit 1: Revisiting AI Project Cycle &amp; Ethical Frameworks for AI - Itxperts\" \/>\n<meta property=\"og:description\" content=\"A. Introduction to AI Project Cycle Artificial Intelligence (AI) is the ability of machines to perform tasks that usually require human intelligence, such as learning, decision-making, and problem-solving. To create any AI solution, we follow a proper method known as the AI Project Cycle. It consists of five important stages: B. 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