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

Foundations of Ethics in GenAI

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

Data Privacy and Security in GenAI

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 components of a bias mitigation plan when utilizing GenAI, specifically focusing on the importance of transparency and accountability in GenAI systems.

Global AI Regulations and Governance

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 other Western countries and critically analyze various viewpoints on AI regulation, considering ethical, economic, and technological aspects.

Societal Impacts of GenAI

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 explores foundational philosophical concepts of technology relevant to GenAI. Through lessons and case studies, students will examine the influence of generative AI across various sectors, ethical considerations beyond data privacy, and the philosophical underpinnings shaping AI ethics.