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.
Master Ethical AI: Analyze, Evaluate & Lead Responsibly
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Master Ethical AI: Analyze, Evaluate & Lead Responsibly
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
8 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
Recently updated!
January 2026
Assessments
15 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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- Gain a foundational understanding of a subject or tool
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There are 4 modules in this course
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
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
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
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.
What's included
10 videos4 assignments
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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.
When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile.
Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.
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