Ethics and AI in Society

Name: Ethics and AI in Society
Rating: 4.7 (3 reviews)

Marching towards excellence in life and learning

Created byDr. Dheeraj Mehrotra

Last updated 8/2025

English

English [Auto],

What you'll learn

Introduction to AI and Ethics
Bias and Fairness in AI
Privacy, Surveillance and Data Ethics
AI in Decision-Making and Accountability

Course content

1 section • 7 lectures • 33m total length

Introduction To AI and Ethics2:01
Examine the ethical use of artificial intelligence, focusing on preventing harm, ensuring fairness, and upholding societal values in machine learning, natural language processing, computer vision, and robotics.
Bias and Fairness in AI1:36
Explore bias and fairness in ai, how data and training shape decisions, and how unrepresentative data can produce unfair outcomes, illustrated by a school team example.
Privacy, Surveillance and Data Ethics4:40
Analyze privacy, surveillance, and data ethics in education, focusing on consent, data minimization, purpose limitation, security, and transparency to balance safety with trust and fairness.
AI In Decision- Making and Accountability5:21
Explore how AI influences decision making across education, healthcare, business, and governance, and how transparency, fairness, and human oversight shape accountability frameworks and redress mechanisms.
The Future of AI and Ethical Considerations5:32
Explore how AI evolves toward general autonomy, with opportunities in personalized learning and real-time services, while addressing bias, transparency, accountability, data privacy, human oversight, and global governance.
Making a difference3:12
Champion ai ethics in society by centering design on people and upholding fairness, privacy, transparency, and accountability, while uniting government, industry, educators, and citizens to define what ai should do.
Re-visit10:47
Revisit how smartphones and digital devices shape our attention and wellbeing, and learn practical steps for a digital detox, including setting limits and device-free zones to reclaim time and focus.

Requirements

A passion to learn and explore AI

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

What is AI? An Overview
Why Ethics Matter in AI
The Relationship Between AI and Society
Case Studies of Ethical Dilemmas in AI

Module 2: Bias and Fairness in AI

Understanding Algorithmic Bias
Case Studies: Discriminatory AI
Strategies for Fair and Inclusive AI Systems
AI and Social Justice: The Road Ahead

Module 3: Privacy, Surveillance, and Data Ethics

AI and Personal Data: How Much is Too Much?
Government and Corporate Surveillance
Ethical Data Collection and Usage
Regulations and Policies (GDPR, CCPA, etc.)

Module 4: AI in Decision-Making and Accountability

AI in Hiring, Law Enforcement, and Healthcare
Who is Responsible When AI Goes Wrong?
Explainability and Transparency in AI Systems
Building Ethical AI Governance Frameworks

Module 5: The Future of AI and Ethical Considerations

The Role of AI in the Future of Work
Ethical Challenges in Autonomous Systems (Self-Driving Cars, Robots, etc.)
The AI-Human Collaboration: Ethical Boundaries
AI for Good: How Can We Ensure Positive Impact?

Who this course is for:

All Individuals with a vision to explore learning.