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.
Master Ethical & AI-Driven Market Decision-Making
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Master Ethical & AI-Driven Market Decision-Making
This course is part of AI for Business Ethics & Financial Strategy Mastery Specialization
Instructor: EDUCBA
Included with
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.
Skills you'll gain
Details to know
Shareable certificate
Add to your LinkedIn profile
Recently updated!
January 2026
Assessments
16 assignments
Taught in English
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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.
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There are 4 modules in this course
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
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
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
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
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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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