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.



Ethics and Responsible Practices in GenAI
This course is part of Generative AI Essentials Specialization

Instructor: Jillian Kowalchuk
Access provided by National Research Nuclear University MEPhI
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There are 4 modules in this course
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
What's included
17 videos3 readings1 assignment3 discussion prompts
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.
What's included
8 videos3 readings1 assignment2 discussion prompts
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.
What's included
12 videos3 readings1 assignment
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.
What's included
13 videos7 readings1 assignment1 peer review2 discussion prompts
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