Marching towards excellence in life and learning
Description
Artificial Intelligence (AI) is transforming our world, but with great power comes great responsibility. This course examines the ethical implications of AI in society, enabling learners to understand both the promises and challenges of this revolutionary technology. From bias in algorithms to privacy concerns and the future of human-AI collaboration, this course equips individuals with the knowledge to navigate the ethical landscape of AI. Whether you’re a student, professional, or AI enthusiast, this course will empower you to think critically about the role of AI in our future. SOME OF THE RESOURCES HAVE BEEN DESIGNED USING AI. Hope you all will love it as well.
Course Outline:
Module 1: Introduction to AI and Ethics
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What is AI? An Overview
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Why Ethics Matter in AI
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The Relationship Between AI and Society
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Case Studies of Ethical Dilemmas in AI
Module 2: Bias and Fairness in AI
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Understanding Algorithmic Bias
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Case Studies: Discriminatory AI
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Strategies for Fair and Inclusive AI Systems
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AI and Social Justice: The Road Ahead
Module 3: Privacy, Surveillance, and Data Ethics
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AI and Personal Data: How Much is Too Much?
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Government and Corporate Surveillance
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Ethical Data Collection and Usage
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Regulations and Policies (GDPR, CCPA, etc.)
Module 4: AI in Decision-Making and Accountability
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AI in Hiring, Law Enforcement, and Healthcare
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Who is Responsible When AI Goes Wrong?
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Explainability and Transparency in AI Systems
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Building Ethical AI Governance Frameworks
Module 5: The Future of AI and Ethical Considerations
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The Role of AI in the Future of Work
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Ethical Challenges in Autonomous Systems (Self-Driving Cars, Robots, etc.)
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The AI-Human Collaboration: Ethical Boundaries
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AI for Good: How Can We Ensure Positive Impact?
Total Students | 17 |
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Duration | 33 mins |
Language | English (US) |
Number of lectures | 7 |
Number of quizzes | 0 |
Total Reviews | 0 |
Global Rating | 0 |
Instructor Name | Dr. Dheeraj Mehrotra |
Course Insights (for Students)
Actionable, non-generic pointers before you enroll
Student Satisfaction
78% positive recent sentiment
Momentum
Steady interest
Time & Value
- Est. time: 33 mins
- Practical value: 5/10
Roadmap Fit
- Beginner → → Advanced
Key Takeaways for Learners
- Hands-on practice
- Real-world examples
- Project-based learning
Course Review Summary
Signals distilled from the latest Udemy reviews
What learners praise
Clear explanations and helpful examples.
Watch-outs
No consistent issues reported.
Difficulty
Best suited for
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