Topics
Psychology : A Scientific Discipline
- Science of Psychology
- Key Features of Science
- History of Psychology as a Science
- Research Methods in Psychology> Experimental Method
- Research Methods in Psychology> Survey Method
- Research Methods in Psychology> Observation Method
- Research Methods in Psychology> Case Study Method
- Research Methods in Psychology> Correlation Studies
- Challenges in Establishing Psychology as a Science
- Importance of Rationality
Intelligence
- Concept of Intelligence
- Perspectives on Intelligence
- Intelligence as a Single, General Ability
- Theories of Intelligence
- E. L. Thorndike's Theory
- Louis Thurstone’s Multifactor Theory
- Charles Spearman's Two Factor Theory
- Theory of Intelligence by Cattell
- Howard Gardner's Multiple Intelligence Theory
- Measurement of Intelligence
- History of Measurement of Intelligence
- Mental Age
- Intelligence Quotient
- Types of Intelligence Tests
- Individual Test
- Group Test
- Verbal Test
- Non-Verbal Test
- Applications of Intelligence Testing
- New Trends in Intelligence> Social Intelligence
- New Trends in Intelligence> Emotional Intelligence
- New Trends in Intelligence> Artificial Intelligence
Personality
Cognitive Processes
Emotions
- Concept of Emotions
- History of Emotions
- Basic Emotions
- Plutchik’s Model
- Physiological Changes During Emotions
- Emotional Well-Being
- Achieving Emotional Well Being
- Benefits of Emotional Well-Being
- Emotional Abuse
- Managing Emotions
- Anger Management
- Anticipating and Managing Anger
- The 3 R's: Relax, Reassess, and Respond
Psychological Disorders
- Concept of Abnormal Behaviour
- Nature of Psychological Disorders
- Criteria for Psychological Disorders
- Concept of Mental Wellness
- Mental Disorders - Its Classification
- Major Psychological Disorder> Anxiety Disorders
- Depressive Disorders
- Major Psychological Disorder> Bipolar Disorder
- Major Psychological Disorder> Trauma and Stress Related Disorders
- Major Psychological Disorder> Substance-Related and Addictive Disorders
- Major Psychological Disorder> Schizophrenia
- Identifying and Treating Psychological Disorders
First Aid in Mental Health
Positive Psychology
Estimated time: 22 minutes
- Introduction
- Activity: Devices Using Artificial Intelligence
- Human Intelligence vs Artificial Intelligence
- Branches of AI
- AI Workflow
- Core Applications
- Limits & Ethical Considerations
- Key Points: Artificial Intelligence
CISCE: Class 12
Introduction
Artificial Intelligence (AI):
Machines that learn from data and make decisions resembling human reasoning, drawing on computer science, algorithms, linguistics, psychology, and philosophy.
CISCE: Class 12
Activity: Devices Using Artificial Intelligence
Discuss how the following devices use Artificial Intelligence:
Computers
- AI makes computers capable of learning, reasoning, and problem-solving.
- They can perform speech recognition, image processing, and predictive typing.
Self-driving Cars
- Use AI to process data from sensors and cameras.
- They detect obstacles, follow traffic rules, and make real-time driving decisions.
Robots
- AI allows robots to perform tasks like assembling, packaging, and even assisting in surgery.
- They can learn from data, recognize objects, and interact with humans.
Medical Diagnostic Tools
- AI helps in analyzing medical images (X-rays, MRI, CT scans).
- It assists doctors in diagnosing diseases early and suggesting treatments.
Translation Devices
- AI enables real-time language translation through natural language processing (NLP).
- Examples: Google Translate, AI-powered voice translators.
Automatic Missiles
- AI helps missiles track targets, adjust paths, and make accurate strikes.
- They can detect and adapt to changing conditions in the battlefield.
Chatbots
- AI enables chatbots to understand and respond to customer queries.
- They simulate human-like conversation and provide 24/7 assistance (e.g., customer service bots).
CISCE: Class 12
Human Intelligence vs. Artificial Intelligence
| Characteristic | Human Intelligence | Artificial Intelligence |
|---|---|---|
| Learning Source | Experience, emotions, intuition | Datasets, algorithms |
| Decision Factors | Ethics, values, common sense | Predefined rules, statistical patterns |
| Adaptability | High in novel situations | Limited to trained scenarios |
| Fatigue | Prone to tiredness | Operates continuously without fatigue |
CISCE: Class 12
Branches of AI
- Machine Learning (ML): Learns patterns from data.
- Deep Learning (DL): Multi-layer neural networks inspired by the brain.
- Natural Language Processing (NLP): Understanding and generating human language.
- Computer Vision (CV): Interpreting images and videos.
- Robotics: Sense–Plan–Act systems for physical tasks.
CISCE: Class 12
AI Workflow
- Data Collection: Gather raw data (text, images, numbers).
- Preprocessing: Clean and format data for training.
- Model Training: Algorithms learn patterns (e.g., neural networks).
- Evaluation: Test model accuracy on unseen data.
- Deployment: Integrate the model into real-world applications.
- Monitoring & Improvement: Continuously refine with new data.
CISCE: Class 12
Core Applications
| Application | AI Task Type | Real-Life Example |
|---|---|---|
| Speech Recognition | Classification | Voice assistants transcribe reminders |
| Natural Language Processing | Generation & Understanding | Chatbots handle customer queries |
| Spam Filtering | Classification | Email services sort spam from the inbox |
| Medical Diagnosis | Computer Vision | AI flags pneumonia in chest X-rays |
| Fraud Detection | Anomaly Detection | Banks flag suspicious card transactions |
| Weather Forecasting | Time-Series Prediction | Apps predict weekly rain probability |
CISCE: Class 12
Limits & Ethical Considerations
- Strengths: Speed, scalability, consistency, 24/7 operation.
- Limitations: Data dependence, embedded biases, lack of transparency, and no common sense.
- Trend: Human-in-the-Loop adds oversight to high-stakes AI decisions..
Maharashtra State Board: Class 12
CISCE: Class 12
CISCE: Class 12
Key Points: Artificial Intelligence
- Human intelligence is based on experience, emotion, and values, while AI learns from data, algorithms, and patterns.
- Humans use common sense and ethics for decisions; AI follows predefined rules and lacks emotional judgment.
- Humans adapt well in new situations, while AI works best in trained scenarios.
- AI-powered devices include self-driving cars, chatbots, medical tools, and translation apps.
- AI is fast and consistent, but has limits like bias, no common sense, and needs human oversight in sensitive areas.
