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AI GenAI Ethics & Responsible Use: Fundamentals for Everyone
Rating: 4.3 out of 5(19 ratings)
669 students

AI GenAI Ethics & Responsible Use: Fundamentals for Everyone

AI GenAI:: Introductory, non-technical overview of ethical AI principles, risks, and responsible use for all learners..
Created byMana Dowlatshahi Yeganeh
Last updated 8/2026
English

What you'll learn

  • AI GenAI Ethics
  • AI Responsible Use
  • Fundamentals for Everyone
  • AI GenAI:: Introductory, non-technical overview of ethical AI principles, risks, and responsible use for all learners..

Course content

9 sections • 39 lectures • 31h 43m total length

  • 01 AI and Generative AI What They Are and Why Ethics Matter14:08

    Explore what artificial intelligence and generative AI are, and why ethics matter for fair, responsible use. Learn about data bias, privacy, human oversight, and the environmental costs of training AI.

  • 02 AI and GenAI Bias Fairness and Inclusion14:35

    Explore how GenAI and artificial intelligence reflect and amplify biases, and learn strategies for fairness, equity, and inclusion through diverse data and responsible design.

  • 03 AI and Generative AI Privacy and Data Responsibility in the Age of Innovation14:26

    Discover how ai and generative ai raise privacy and data responsibility issues, mastering consent, access controls, anonymization, and encryption to protect personal information while enabling innovation.

  • 04 AI and GenAI Transparency Explainability and Trust16:29

    Explore how AI transparency and explainability reveal the reasoning behind AI recommendations to build trust, enable accountability, and support responsible use.

  • 05 AI and GenAI Accountability and Human Oversight Whos Really Responsible20:54

    Identify who is responsible for AI decisions, from developers to users, and embed human oversight, explainability, and ongoing monitoring to prevent bias and harm, per Europe’s new guidelines.

  • 06 Responsible Use of AI and Generative AI in Society Ethics Impact and Action25:19

    Explore UNESCO's guidelines for responsible AI and generative AI in society, grounding ethics in fairness, transparency, accountability, privacy, and human well-being.

  • 07 AI and GenAI and Human Rights Navigating Promise and Peril28:44

    Explore how AI and GenAI intersect with human rights, highlighting fairness, privacy, non-discrimination, and inclusive design. Develop governance strategies and transparent deployment to safeguard dignity in an AI-driven society.

  • 08 AI and Generative AI Environmental and Societal Impact28:00

    Explore the environmental and societal impact of generative AI, including energy use, data center footprints, water consumption, and shifts in jobs, fairness, authenticity, and responsible use.

  • 09 AI and Generative AI Misinformation and Content Responsibility27:09

    Explore how generative AI reshapes information with misinformation and deepfakes, and learn practical, ethical safeguards, fact-checking, and human oversight to build a trustworthy information landscape.

  • 10 AI and Generative AI Safety Security and Risk Management28:22

    Design, govern, and secure trustworthy AI and generative AI by applying risk management, robust safeguards, human oversight, transparency, and continuous learning across development and deployment.

  • 11 AI and GenAI Policy Regulation and Governance Guiding Responsible Innovation28:15

    Learn how AI governance shapes responsible innovation through global cooperation, national guardrails, and transparent, accountable practices. Explore safeguards that ensure fairness, safety, privacy, and trust in AI systems.

  • 12 AI and GenAI Literacy Empowering Everyone for an AI Driven Future25:21

    Build artificial intelligence and GenAI literacy to confidently use, evaluate outputs, spot biases, and engage ethically with intelligent tools in everyday life.

Requirements

  • This course has no technical or formal prerequisites and is designed to be accessible to all learners regardless of background or experience. Participants only need a basic level of digital literacy, such as familiarity with using computers, mobile devices, or common online tools, and an interest in understanding how AI is used in everyday life. No prior knowledge of artificial intelligence, programming, data science, or ethics is required. Learners should be willing to engage with real-world examples, reflect on ethical considerations, and think critically about the impact of technology on individuals and society. Access to the internet for viewing course materials is recommended, but no software installation, system configuration, or hands-on lab work is needed.

Description


Artificial Intelligence is increasingly shaping how we work, learn, and make decisions. This foundational course, AI Ethics & Responsible Use, introduces learners to the core concepts, principles, and responsibilities involved in using AI in a safe, fair, and trustworthy way. Designed as a no-configuration, no-lab, non-technical course, it focuses on understanding rather than building AI systems, making it accessible to learners from all backgrounds.

The course explains what AI ethics and responsible use mean in simple, practical terms. Learners explore key topics such as fairness, bias, transparency, privacy, accountability, and human oversight. Through real-world examples and everyday scenarios, the course shows how ethical challenges can arise in common AI applications and how responsible decision-making helps prevent harm and misuse.

Understanding AI ethics is important because AI systems increasingly influence people’s lives, opportunities, and rights. Poorly designed or irresponsibly used AI can reinforce bias, reduce trust, and create legal or social risks. This course helps learners recognize these risks early and understand why ethical thinking is essential for individuals, organizations, and society as a whole.

The advantages of learning AI ethics include better awareness, improved decision-making, and increased confidence when interacting with AI tools. Learners gain the ability to ask the right questions about AI use, identify potential ethical concerns, and follow best practices for responsible adoption. These skills support compliance, build trust, and encourage more inclusive and sustainable use of technology.

This course is ideal for all learners, including students, professionals, managers, educators, policy makers, and anyone who uses or is affected by AI systems. No technical or AI background is required. It is especially valuable for those involved in decision-making, communication, governance, or everyday use of AI-powered tools.

Looking ahead, AI will continue to expand across industries and daily life. Ethical awareness will become a core skill, not a specialist topic. This course prepares learners for the future by building a strong ethical foundation, helping them adapt to evolving AI technologies while ensuring responsible, human-centered use.



Who this course is for:

  • Students and Early-Career Learners To build early awareness of how AI impacts society, decision-making, and future careers, and to develop ethical thinking skills that complement any field of study.
  • Working Professionals and Managers To make informed, responsible decisions when using or approving AI tools, reduce risk, and promote trust, fairness, and compliance in the workplace.
  • Educators, Trainers, and Policy Influencers To better understand ethical AI principles, guide others responsibly, and support fair, transparent, and accountable use of AI in learning and governance.
  • General AI Users and the Public To use AI tools confidently and responsibly, recognize potential bias or misuse, and understand personal rights, privacy, and societal impact.

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