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⇱ Master Ethical & AI-Driven Market Decision-Making | Coursera


Master Ethical & AI-Driven Market Decision-Making

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Master Ethical & AI-Driven Market Decision-Making

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Gain insight into a topic and learn the fundamentals.
Beginner level

Recommended experience

9 hours to complete
Flexible schedule
Learn at your own pace

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 ethical risks, fairness, and governance considerations in real-world AI applications.

  • Apply responsible AI frameworks to ensure transparency, compliance, and sustainable AI adoption.

  • Use AI-driven analytics to interpret market insights and support informed strategic decisions.

Details to know

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Recently updated!

January 2026

Assessments

16 assignments

Taught in English

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 develop the ability to analyze ethical risks, evaluate AI fairness, apply governance frameworks, and use AI tools to interpret market insights and guide strategic decisions. This course equips professionals with the skills to confidently navigate the ethical, regulatory, and analytical dimensions of modern AI adoption.

Throughout the program, learners explore how AI impacts business operations, social systems, employment, and data management. They gain hands-on understanding of transparency, explainability, bias mitigation, and ethical leadershipβ€”ensuring AI is implemented responsibly and sustainably. The course also introduces essential AI-driven market research methods, including sentiment analysis, customer segmentation, and trend forecasting, enabling learners to make informed, data-backed strategic decisions. What makes this course unique is its integrated approach, combining ethical AI foundations with practical market analytics, preparing learners not only to use AI, but to lead responsible AI initiatives in real business environments. By the end, learners will be equipped to drive innovation while maintaining trust, compliance, and long-term organizational value.

This module introduces learners to the foundational concepts of ethical AI in business, including the role of ethics, common sources of bias, fairness considerations, data privacy principles, security requirements, and regulatory frameworks needed for responsible AI deployment.

What's included

11 videos4 assignments

11 videosβ€’Total 52 minutes
  • What is Ethics in AIβ€’4 minutes
  • The Importance of Ethics in Business AIβ€’4 minutes
  • Overview of AI Applications in Businessβ€’3 minutes
  • Types of Bias in AI Modelsβ€’5 minutes
  • Ensuring Fairness in AI Decisionsβ€’5 minutes
  • Case Studies Bias in AI Applications Part 1β€’6 minutes
  • Case Studies Bias in AI Applications Part 2β€’2 minutes
  • Principles of Data Privacy in AIβ€’7 minutes
  • Managing Data Security in AI Systemsβ€’7 minutes
  • Legal and Regulatory Considerations for AI Data Management Part 1β€’6 minutes
  • Legal and Regulatory Considerations for AI Data Management Part 2β€’3 minutes
4 assignmentsβ€’Total 75 minutes
  • Foundations of Ethical AI in Businessβ€’30 minutes
  • UntiUnderstanding AI Ethics and Business Applicationstledβ€’15 minutes
  • Bias, Fairness, and Real-World Case Studiesβ€’15 minutes
  • Data Privacy and Regulatory Foundationsβ€’15 minutes

This module explores the importance of transparency and explainability in AI systems, their impact on user trust, and the broader social and economic implications of AI. Learners also examine ethical decision-making frameworks that support fair and accountable AI use.

What's included

7 videos4 assignments

7 videosβ€’Total 36 minutes
  • The Need for Transparency in AIβ€’6 minutes
  • Strategies for Achieving AI Explainabilityβ€’5 minutes
  • Tools and Techniques for Transparent AI Systemsβ€’5 minutes
  • AI and its Impact on Employmentβ€’4 minutes
  • AI's Role in Social Inequalityβ€’4 minutes
  • Ethical Implications of AI in Decision-Makingβ€’6 minutes
  • Frameworks for Ethical AI Decision-Makingβ€’6 minutes
4 assignmentsβ€’Total 75 minutes
  • Transparency, Explainability & Social Impacts of AIβ€’30 minutes
  • Making AI Transparent and Explainableβ€’15 minutes
  • AI’s Social and Economic Effectsβ€’15 minutes
  • Ethical Decision-Making in Business AIβ€’15 minutes

This module focuses on establishing governance structures, policies, and leadership practices that promote responsible AI development and deployment. Learners examine ethical AI policies, best practices, successful implementation examples, and emerging challenges that future-proof AI initiatives.

What's included

8 videos4 assignments

8 videosβ€’Total 43 minutes
  • Balancing Profit and Ethics in AI Implementationsβ€’7 minutes
  • Ethical Leadership in AI Deploymentβ€’6 minutes
  • Developing an Ethical AI Policyβ€’5 minutes
  • Best Practices for Ethical AI Development and Deploymentβ€’5 minutes
  • Case Studies Successful Ethical AI Implementationsβ€’7 minutes
  • Emerging Ethical Challenges in AIβ€’4 minutes
  • Preparing for the Future of Ethical AIβ€’4 minutes
  • Continuous Learning and Improvement in AI Ethicsβ€’6 minutes
4 assignmentsβ€’Total 75 minutes
  • Responsible AI Governance & Future-Proof Leadershipβ€’30 minutes
  • Balancing Profitability and Ethical Responsibilityβ€’15 minutes
  • Governance, Policies, and Best Practicesβ€’15 minutes
  • Ethical AI Success Stories and Future Challengesβ€’15 minutes

This module covers how AI transforms market research, including tools, applications, customer segmentation, sentiment analysis, and competitor insights. Learners also examine how AI supports strategic decision-making and the future outlook of AI in business intelligence.

What's included

6 videos4 assignments

6 videosβ€’Total 33 minutes
  • Introduction to Courseβ€’1 minute
  • Impact and Features of Al in Market Researchβ€’3 minutes
  • Top Applications of Al Market Researchβ€’6 minutes
  • Essential AI Tools for Market Researchβ€’15 minutes
  • AI into Decision Making Processesβ€’7 minutes
  • Future Outlook of AI Market Researchβ€’1 minute
4 assignmentsβ€’Total 75 minutes
  • AI-Driven Market Research & Strategic Decision-Makingβ€’30 minutes
  • Introduction to AI in Market Researchβ€’15 minutes
  • Tools and Applications for Modern Market Insightβ€’15 minutes
  • AI-Powered Strategic Decision-Makingβ€’15 minutes

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Instructor

EDUCBA
1,591 Coursesβ€’326,930 learners

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Frequently asked questions

To access the course materials, assignments and to earn a Certificate, you will need to purchase the Certificate experience when you enroll in a course. You can try a Free Trial instead, or apply for Financial Aid. The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.

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