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AI Ethics, Governance & Responsible AI Use
Rating: 5.0 out of 5(1 rating)
35 students

AI Ethics, Governance & Responsible AI Use

Get a brief overview of AI Ethics with various case studies to understand the ethics, principles, and governance.
Created byStudyopedia Trainings
Last updated 12/2025
English

What you'll learn

  • Learn AI Ethics from scratch
  • Get a quick overview of the governance of AI.
  • Learn about biasness in AI
  • Work with developing an AI Ethics Charter
  • Understand Explainability in AI
  • Learn why AI need ethics
  • Understand the case studies for AI Governance
  • Learn to work with the ethical AI
  • Understand some case studies related to AI Ethics and fairness

Course content

3 sections • 13 lectures • 1h 24m total length

  • About Course1:03

    In this video course, we will learn about the Ethics of AI. This course introduces the foundations of AI ethics and why ethical thinking matters in a rapidly evolving technological world. You’ll explore core principles, examine how bias emerges, and grapple with the challenges of transparency and trust.

  • Foundations: What are AI Ethics? Why AI Needs Ethics?7:43

    In this lesson, we will understand the foundations of AI Ethics so that the students can go through the critical, philosophically-informed perspective, establishing why ethical consideration isn’t an optional add-on but a core requirement for responsible development.


  • The AI Ethics Core Principles10:23

    In this lesson, we will understand a crucial bridge from high-level concerns to actionable principles.

  • When AI is Unfair: Understanding Bias9:50

    In this lesson, understand that fairness requires balancing metrics like statistical parity, equal opportunity, and predictive parity, each with its own trade-offs.

  • Transparency, Explainability, and Trust: Challenges in Deploying AI8:11

    In this lesson, explore the concepts, tools, and debates around making AI systems comprehensible to humans.

  • AI and Your Job: The Future of Work6:40

    In this lesson, examine the profound impact of AI and automation on the structure of work, the experience of labor, and the distribution of economic power.

  • AI in the Real World: High-Stakes Case Studies8:20

    In this lesson, examine how AI systems are deployed in sectors where errors, biases, or opaque decisions can lead to severe, irreversible harm; to individual rights, physical safety, economic stability, or life itself

  • AI, Society, and You: Truth, Democracy, and Rights6:18

    In this lesson, examine how AI technologies reshape the fundamental structures of society, public discourse, governance, and our relationship with the planet.

  • The Cutting Edge: AI That Creates and the Far Future7:27

    In this lesson, we will dive into the most cutting-edge and speculative ethical issues in AI, moving from present-day challenges to future philosophical dilemmas.

Requirements

  • Basic knowledge about AI

Description

Welcome to the AI Ethics courses. This course introduces the foundations of AI ethics and why ethical thinking matters in a rapidly evolving technological world. You’ll explore core principles, examine how bias emerges, and grapple with the challenges of transparency and trust. Together, we look at how AI reshapes work, power, and society, from everyday tools to high‑stakes systems. Real‑world case studies reveal how ethical decisions unfold inside major companies and public institutions. By the end, you’ll be ready to critically evaluate AI systems and contribute to building technology that serves people and protects society.

This tutorial on the “Ethics of AI” is not only timely but crucial. A well-structured ethics of AI tutorial should blend philosophical foundations, technical realities, and practical governance.

The core philosophy is to move from “What can we build?” to “What should we build?” and “How do we govern what we build?”

**Course Lessons**

Ethics of AI and Principles

1. Foundations: What are AI Ethics? Why AI Needs Ethics?

2. The AI Ethics Core Principles


AI Bias, Transparency, Explainability, and Trust

3. When AI is Unfair: Understanding Bias

4. Transparency, Explainability, and Trust: Challenges in Deploying AI


AI in Work and the Real World

5. AI and Your Job: The Future of Work

6. AI in the Real World: High-Stakes Case Studies


AI in Society and the Far Future

7. AI, Society, and You: Truth, Democracy, and Rights

8. The Cutting Edge: AI That Creates and the Far Future


AI Governance

9. Governance, Policy, and Building Ethical AI

10. Governance and practical structures to implement ethical AI principles


Case Study

11. Case Study: Amazon’s 2025 AI Ethics Letter from Employees

12. Case Study: Uber’s AI-Driven Pay Systems & Legal Action


The AI Ethics tutorial is prepared for students, engineers, and professionals. This tutorial will be useful for understanding the principles, governance, and ethics of AI.

Note: We will demonstrate how to work with AI Ethics to understand the principles and governance.

Who this course is for:

  • AI Engineers
  • Machine Learning Engineers
  • Data Science Enthusiasts
  • Data Analysts
  • Those who want to learn how to measure the fairness in AI
  • Those who works with the AI pipeline
  • Those who want to learn the process of Predictive Policing
  • For AI lovers, who understand AI ethics is an urgent, ongoing challenge.
  • Thos who want gain a deep understanding of Interpretability and Explainability

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