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Applied Ethics for AI (Registration is now open) (Batch period: 12th May - 24th June 2025)

Intel via SWAYAM Plus

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Overview

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The course introduces some guiding principles of ethics for the application of AI in a responsible manner.

Different approaches for designing ethical AI and examining common ethical pitfalls are discussed.

Students get a chance to explore different ethical frameworks, which will help them navigate the pitfalls of unethical uses of AI and help evaluate the impact of unintended consequences of non-responsible use of AI.

Session timing: Monday to Friday (04:00 PM - 06:00 PM)

Intended audience

NA

Prerequisites

  • Students enrolled in a higher education institute with basic digital literacy

Assessment & certification

  • Assessment fee: Included — no extra fee
  • Assessment mode: Online
  • Assessment type: MCQ
  • Assessment provider: Intel
  • Certificate provider: NA

Syllabus

  • Week 1: Introduction to AI Ethics
  • Week 2: Role of Ethics in Responsible AI
  • Week 3: Common Ethical Pitfalls in AI
  • Week 4: Principles of Ethical AI
  • Week 5: Ethics-First approach in the AI Project Cycle
  • Week 6: Approaches for Designing Ethical AI
  • Week 7: Introduction to Ethical Frameworks
  • Week 8: Virtue-Based Ethics and Applying Bio-Ethics Framework in AIx
  • Week 9: Utilitarianism and Kantianism for Ethical AI
  • Week 10: Code of AI Ethics for Organizations
  • Week 11: Data Protection and AI
  • Week 12: Explainable AI
  • Week 13: Explainable AI In Practice
  • Week 14: Impact Assessment of AI Solutions
  • Week 15: Mitigating Ethical Issues Post Deployment
  • Week 16: Project Creation

Taught by

Multiple instructors with PG/ PhD experience in AI, Data Science, ML

Reviews

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