AI for Psychological and Behavioral Analysis

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Mentor Based

Program Syllabus

Module 1

About This Course

This program explores the intersection of psychology and AI, focusing on tools that analyze human emotions, behaviors, and decision-making. It covers sentiment analysis, facial expression recognition, and natural language processing for psychological assessment.

Module 2

Aim

To introduce participants to how AI can be applied to psychological and behavioral analysis, including emotional detection, personality assessment, and behavioral predictions. This course teaches the use of AI for understanding human behavior through data analysis.

Module 3

Program Objectives

Master AI techniques for analyzing emotions and behaviors.
Understand how AI can assess personality traits and psychological conditions.
Develop AI models to predict human decisions and behaviors.
Learn ethical considerations in using AI for psychological analysis.
Gain hands-on experience with AI-powered tools for mental health and therapy.

Module 4

Program Structure

Introduction to AI in Psychology and Behavioral Analysis
- Overview of AI Applications in Psychology
- Use Cases: Mental Health Monitoring, Personality Detection, Behavioral Prediction
- Ethical Considerations in AI for Behavioral Analysis
Fundamentals of Behavioral Data Collection
- Sources of Behavioral Data: Social Media, Surveys, Wearables
- Techniques for Data Collection in Behavioral Studies
- Ethical Guidelines for Collecting and Using Behavioral Data
Natural Language Processing (NLP) for Behavioral Analysis
- NLP Techniques for Analyzing Text-Based Behavior
- Sentiment Analysis, Emotion Detection, and Personality Assessment
- Case Studies: Analyzing Social Media for Mental Health Signals
AI for Personality Analysis
- Introduction to Personality Models (Big Five, Myers-Briggs)
- AI Techniques for Detecting Personality Traits from Text and Social Media
- Applications in Marketing, Human Resources, and Psychotherapy
Emotion Recognition with AI
- AI Techniques for Emotion Detection from Text, Voice, and Video
- Sentiment and Emotion Analysis in Real-Time Applications
- Case Studies: AI-Driven Mental Health Monitoring Systems
Behavioral Prediction with AI
- Predicting Human Actions and Behaviors Using AI Models
- AI for Analyzing Behavioral Data from Wearables (e.g., Fitbit, Smartwatches)
- AI for Predicting Consumer Behavior and Decision Making
Facial Recognition and Body Language Analysis
- AI for Analyzing Facial Expressions and Body Language
- Deep Learning Techniques for Human Emotion and Behavioral Recognition
- Use Cases: AI for Detecting Deception, Stress, and Anxiety
AI for Mental Health Diagnostics
- AI-Driven Tools for Diagnosing Mental Health Disorders
- Predicting Depression, Anxiety, and PTSD from Social Media and Behavioral Data
- Applications of AI in Therapeutic Interventions
AI and Behavioral Economics
- AI for Understanding Human Decision-Making and Preferences
- Applications of AI in Behavioral Finance
- Predicting Economic Behavior through AI Analysis
AI and Cognitive Science
- Cognitive Models and AI Techniques for Understanding Human Thought
- AI for Modeling Cognitive Processes: Attention, Memory, and Learning
- AI Applications in Cognitive Behavioral Therapy (CBT)
Ethics and Privacy in AI-Driven Behavioral Analysis
- Addressing Ethical Issues in AI for Psychological Analysis
- Privacy Concerns in Behavioral Data Collection and Analysis
- AI Bias and Its Impact on Psychological Assessments

Lead Instructor

Dr. Sarah Chen

PhD in Computational Mechanics from MIT with 15+ years of experience in Industrial AI. Former Lead Data Scientist at Tesla and current advisor to Fortune 500 manufacturing firms.