Total Duration: 10–12 Weeks (Ideal for thoughtful learners)
Module 1: Understanding AI & Its Influence on Society
Duration: 1 Week
- What exactly is AI? (Simple explanation, no buzzwords)
- How AI is already affecting our everyday lives (jobs, ads, recommendations, etc.)
- History of AI and ethical dilemmas so far
- Why ethics in AI even matters?
- Global examples of both good and bad uses of AI
Module 2: Core Concepts of AI Ethics
Duration: 2 Weeks
- What is “Ethics” in tech?
- Transparency: Should people know how algorithms make decisions?
- Fairness: Can machines be biased? (Spoiler: yes!)
- Accountability: Who’s responsible when AI goes wrong?
- Data Privacy: How much does AI know about you?
- Consent: Do we know when we’re being tracked?
- Real-world case studies: Racist algorithms, surveillance AI, etc.
Module 3: Bias in AI & Real-World Discrimination
Duration: 1 Week
- What causes AI bias? (Hint: It’s us, not the robots)
- Types of bias: Gender, racial, age-related, etc.
- Examples: Hiring tools rejecting women, face recognition failing on dark skin
- How to detect and reduce bias in datasets
- The ethical responsibility of developers and companies
Module 4: AI & Human Rights
Duration: 1 Week
- How AI intersects with basic rights (freedom, dignity, equality)
- Social scoring systems & surveillance states (e.g., China’s credit system)
- Predictive policing – Can AI predict crime? Should it?
- Right to explanation – Should you know why AI rejected your loan?
- UN & EU guidelines on AI and human rights
Module 5: AI & The Changing Nature of Work
Duration: 2 Weeks
- Will robots take our jobs? Which ones are at risk?
- Automation vs augmentation: Working with AI vs being replaced by it
- Sectors hit hardest: Manufacturing, transport, customer service
- Sectors booming: Data science, AI ethics, automation management
- The rise of gig work & digital labor platforms (Uber, Upwork)
- Psychological impact of AI on workers (burnout, surveillance stress)
Module 6: Reskilling for the AI Future
Duration: 1 Week
- Why AI literacy is the new digital literacy
- Key skills to stay relevant in the AI age
- Soft skills AI can’t replace: empathy, creativity, critical thinking
- Lifelong learning & role of education
- Building a personal learning path
Module 7: Regulations, Laws & Global Frameworks
Duration: 1 Week
- Overview of current AI laws (GDPR, EU AI Act, India’s data protection bill)
- How different countries are tackling AI ethics
- Role of tech companies vs governments
- The case for AI Ethics Committees & Audits
- Emerging international standards
Module 8: Building Ethical AI
Duration: 2 Weeks
- Introduction to “Ethical AI design”
- Responsible data collection
- Fair model building (debiasing techniques)
- Explainable AI (XAI): Making AI’s decisions transparent
- Tools for ethical AI development (IBM AI Fairness 360, Google’s What-If tool)
- Project: Build a basic ethical checklist for an AI product
Module 9: AI Consciousness, Autonomy & Future Scenarios
Duration: 1 Week
- Can AI think or feel? Should it ever?
- The debate: Artificial General Intelligence (AGI) & its implications
- Killer robots, deepfakes & digital cloning – threats or tools?
- AI & philosophy: What makes us human?
- The role of humans in an AI-dominated future
Module 10: Future of Work – Preparing for the Next Decade
Duration: 1 Week
- Redefining success & careers in the AI era
- New age roles: AI Trainer, Prompt Engineer, Ethics Officer
- Remote work, hybrid jobs & virtual workplaces
- Balancing human values with machine capabilities
- Building a sustainable tech-driven world
- Final project: “Your Ethical AI Vision for 2035”
