Avoiding AI Harm

This course is designed for those in roles with decision making power, to help them understand major topics to consider for using and developing Artificial Intelligence (AI) responsibly, including popular Generative AI tools like ChatGPT and others. It covers real-world examples of situations where AI was used in variety of fields and situations in ways hat revealed ethical concerns. Strategies are suggested to avoid doing harm working with AI, including a framework for working responsibly with AI. Unique Features of this Course - Broadly applicable to audiences of any field - Efficient yet effective overview of major ethical concerns - Beginner friendly for those who want to get started using generative AI tools - Practical tips for how to work with and develop AI tools more consciously - Examples of real-world uses of AI which have raised ethical debate Key Words Artificial Intelligence (AI), Ethics, Generative AI, Large Language Models (LLMs), Data Science Intended Audience - Professionals looking for an introduction to AI Ethics - Decision makers who may have to help write AI policies or determine how AI will be used at an institute - Anyone curious about how we can use AI more responsibly Note: It is helpful to have some fundamental knowledge about what AI is and how it works. This course is not intended as legal advice, we advise that learners seek expert ethical and legal guidance when writing policies or launching new AI projects . Learning Objectives - Describe key ethical concerns for using AI tools - Explain why AI should be thought of as a better computer, not a human replacement - Discuss the potential benefits of being transparent about the use of AI tools - Recognize real-world examples of AI usage that has resulted in ethical debate - Explain the necessity for independent validation of AI models - Identify possible mitigation strategies for major ethical concerns with regard to the algorithms underlying AI tools - Describe practices th