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Alberta Machine Intelligence Institute via Coursera

Ethics and Responsible Practices in GenAI

Overview

Ethics and Responsible Practices in Generative AI is a self-paced course that helps you build a clear understanding of how to use generative AI in a thoughtful and responsible way. You do not need any technical background, just a curiosity about the role AI plays in our world and how to use it ethically.

In less than 10 hours, you will do more than explore what generative AI is. You will learn how to think critically about its impact across different fields, including media, education, healthcare, and business. You will discover how to recognize ethical risks, such as bias or misuse of data, and how to apply practical strategies to address them. This course is designed to support both professionals and learners who want to use AI in ways that are both effective and responsible.

You will also take a step back to consider the bigger questions. What does it mean to be human in a world where machines can create and decide? How is AI shaping our values, decisions, and society? Through reflection and real-world examples, you will explore how ethics and technology intersect in powerful ways.

By the end of this course, you will be able to:

• Explain the key ethical principles that guide the use of generative AI

• Identify ways to manage data privacy, fairness, and other challenges in AI projects

• Apply responsible AI practices using real case studies and examples

• Reflect on how generative AI influences human values and social norms

• Think ahead to the future of ethical challenges in AI

This course will help you gain the confidence to engage with AI technologies in a way that is informed, respectful, and centered on human responsibility.

Syllabus 4

  1. Foundations of Ethics in GenAI 3 hours

    This module introduces ethical frameworks to guide the utilization of GenAI, ensuring fair and transparent AI practices. Through lessons and case studies, students will learn to assess ethical considerations, implement best practices, and navigate the balance between innovation and ethical standards

  2. Data Privacy and Security in GenAI 2 hours

    In this module, we will dive deep into the world of data privacy and security, specifically exploring what privacy means in the age of GenAI and questioning how governments, organizations and individuals should address privacy concerns and issues. In this module you will be instructed on the key co…

  3. Global AI Regulations and Governance 2 hours

    In this module we will cover key international AI regulations, highlighting differences and similarities across regions. It emphasizes the importance of governance in ethical AI deployment and regulatory compliance. Learners will examine the regulatory framework for generative AI in Canada and othe…

  4. Societal Impacts of GenAI 5 hours

    In this module we will analyze the impact of generative AI on jobs, media, education, and global ethics. Learners will explore ethical concerns and governance approaches across cultures and develop skills to critically evaluate AI-generated content and its societal implications. The module also exp…

Advantages and disadvantages

Advantages

  • Structured courses with graded quizzes, assignments and deadlines you can reset.
  • A shareable certificate from the university or company when you pay.
  • Financial aid is often approved for students in India (apply 15 days before you need it).
  • Self-paced: start any time.
  • A clear syllabus (4 parts) you can see before you start.

Disadvantages

  • Paid after a 7-day free trial (Coursera Plus or per course).
  • Some courses can be audited for free, but graded work and certificates need payment.

Some points apply to every course of this kind; see how we rank.

This course is paid. Here is how to take it for free

  • Free trials: You can start a 7-day free trial for many individual courses, Specializations, or a Coursera Plus subscription to test full course features. Cancel before the seventh day if you do not want to be charged.
  • Financial aid: If you cannot afford the fee for a certificate, you can apply for financial aid through the link on the course home page by filling out an application about your background and goals.

Taught by

  • Jillian Kowalchuk

University of Alberta is in Tier 3: good universities, respected companies, nonprofits and well-known teachers of our institution ranking (76/100).

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