This eCourse consists of two modules on AI Ethics. Module 1 examines the key ethical risks and challenges posed by GenAI, including issues such as misinformation/disinformation, harmful misuse, intellectual property, bias and discrimination, and the impact on jobs and skills development. While the use of AI has raised ethical concerns for decades, the emergence of GenAI into the public domain and the widespread adoption of various GenAI tools in more recent times has introduced further ethical concerns and risks into the mix. GenAI is transforming society in several ways, bringing both opportunities and risks.

Module 2 covers cases where AI has failed, leading to ethical, operational, reputational, and financial consequences. These failures offer important lessons for the organizations involved as well as governments, regulators, AI developers, and ethicists. This module describes some of these cases in detail and the key takeaways from them.

On completion of this eCourse, you will be able to:

• Identify what GenAI is and what it is not
• Recognize the key ethical challenges associated with the use of GenAI
• List some of the applications and use cases of AI technology across multiple industries
• Identify some cases where AI chatbots have gone wrong and the lessons to be learned from these cases
• Recognize some controversies where audio and visual outputs from GenAI systems have not been as expected and the lessons to be learned from these events

Module 1: AI Ethics - Generative AI
Topic 1: GenAI Overview
Topic 2: Misinformation & Disinformation
Topic 3: Harmful Misuse
Topic 4: Intellectual Property
Topic 5: Privacy
Topic 6: Bias & Discrimination
Topic 7: Transparency & Accountability
Topic 8: Labor Displacement
Topic 9: Sustainability
Topic 10: Education & Training

Module 2: AI Ethics - Case Studies
Topic 1: GenAI Applications
Topic 2: Misbehaving Chatbots
Topic 3: Controversial Audiovisual GenAI Cases