Master Ethical AI: Analyze, Evaluate & Lead Responsibly

This course is part of AI for Business Ethics & Financial Strategy Mastery Specialization

Instructor: EDUCBA

Access provided by SGCSRC

4 modules

Gain insight into a topic and learn the fundamentals.

Beginner level

Recommended experience

9 hours to complete

Flexible schedule

Learn at your own pace

4 modules

Gain insight into a topic and learn the fundamentals.

Beginner level

Recommended experience

9 hours to complete

Flexible schedule

Learn at your own pace

What you'll learn

Analyze emerging AI technologies and evaluate ethical, fairness, and transparency challenges.
Apply responsible AI frameworks to assess risks, bias, and regulatory requirements.
Design and lead ethical AI strategies that promote trustworthy and accountable innovation.

Skills you'll gain

Details to know

Shareable certificate

Add to your LinkedIn profile

Assessments

15 assignments

Taught in English

See how employees at top companies are mastering in-demand skills

Learn more about Coursera for Business

logos of Petrobras, TATA, Danone, Capgemini, P&G and L'Oreal

Build your subject-matter expertise

This course is part of the AI for Business Ethics & Financial Strategy Mastery Specialization

When you enroll in this course, you'll also be enrolled in this Specialization.

Learn new concepts from industry experts
Gain a foundational understanding of a subject or tool
Develop job-relevant skills with hands-on projects
Earn a shareable career certificate

There are 4 modules in this course

Learners will analyze emerging AI technologies, evaluate ethical challenges, apply fairness and transparency principles, and design responsible AI strategies that support trustworthy innovation. This comprehensive course equips learners with the critical skills needed to understand how AI shapes industries, influences society, and impacts global decision-making.

Throughout the program, learners explore real-world case studies, uncover sources of bias, interpret regulatory requirements, and practice explainability techniques that strengthen AI accountability. By the end of the course, participants will be able to confidently assess risks, implement ethical frameworks, and lead responsible AI initiatives within their organizations. What makes this course unique is its holistic blend of technical awareness, ethical reasoning, and practical leadership skills—supported by module-level quizzes, structured assessments, and scenario-based examples derived from real AI applications. Designed for professionals, students, and decision-makers, this course empowers learners not just to understand AI ethics, but to champion ethical AI development and governance in rapidly evolving digital environments.

This module introduces learners to the rapidly evolving landscape of artificial intelligence, exploring groundbreaking innovations, global applications, and the ethical foundations necessary for responsible AI adoption. Through real-world examples and emerging technologies, learners will gain a strong conceptual understanding of AI’s transformative potential across industries and society.

What's included

8 videos4 assignments

8 videos Total 38 minutes

Emerging Trends and Technologies 5 minutes
Challenges and Opportunities 5 minutes
AI in Space Exploration 6 minutes
AI for Climate Change Mitigation 6 minutes
What is Ethics in AI 4 minutes
The Importance of Ethics in Business AI 4 minutes
Overview of AI Applications in Business 3 minutes
Types of Bias in AI Models 5 minutes

4 assignments Total 75 minutes

The Expanding World of AI 30 minutes
Navigating the AI Frontier 15 minutes
AI for Global Good 15 minutes
AI’s Role in Modern Industries 15 minutes

This module explores the principles and practices required to ensure fairness, privacy, security, and legal compliance in AI systems. Learners examine real case studies, data management best practices, and regulatory considerations to build a responsible and ethical foundation for AI development and deployment.

What's included

7 videos4 assignments

7 videos Total 36 minutes

Ensuring Fairness in AI Decisions 5 minutes
Case Studies Bias in AI Applications Part 1 6 minutes
Case Studies Bias in AI Applications Part 2 2 minutes
Principles of Data Privacy in AI 7 minutes
Managing Data Security in AI Systems 7 minutes
Legal and Regulatory Considerations for AI Data Management Part 1 6 minutes
Legal and Regulatory Considerations for AI Data Management Part 2 3 minutes

4 assignments Total 75 minutes

Fairness, Privacy & Responsible Data Use 30 minutes
Toward Fair & Unbiased AI 15 minutes
Data Protection in Ethical AI 15 minutes
Laws, Rights & AI Governance 15 minutes

This module focuses on the importance of AI transparency, explainability, and trust. Learners explore practical tools, communication strategies, and ethical considerations that support clearer AI decision-making and responsible deployment across regulated and high-impact sectors.

What's included

5 videos3 assignments

5 videos Total 24 minutes

The Need for Transparency in AI 6 minutes
Strategies for Achieving AI Explainability 5 minutes
Tools and Techniques for Transparent AI Systems 5 minutes
AI and its Impact on Employment 4 minutes
AI's Role in Social Inequality 4 minutes

3 assignments Total 60 minutes

Transparent & Explainable AI 30 minutes
The Case for AI Transparency 15 minutes
Turning Explainability into Practice 15 minutes

This module examines advanced ethical considerations, leadership responsibilities, and future-oriented strategies for building a sustainable AI ecosystem. Learners explore ethical frameworks, real case studies, and organizational approaches for guiding AI innovations responsibly in a rapidly evolving digital landscape.