In this module, you will begin exploring a specific type of artificial intelligence - generative AI. You will explore the recent history and evolution of generative AI - where it began to where it is currently in society. You will learn about the benefits, uses, and the misuses of this type of AI technology. As you learn about generative AI keep in mind what you have learned thus far about emerging technologies and ethical considerations for adoption.

In this module you will explore the basic technical foundations of generative AI and how it differs from predictive AI models. You will learn about neural networks and deep learning models which will then prepare you to develop a grasp on how generative AI works from a technical perspective. Once you have this foundational knowledge, you will then reflect on the current state of AI, how it is being used in industry, and potential challenges associated with this technology.

This module begins our exploration of RAI and generative AI, beginning first with learning about the scope of RAI and how it applies specifically to generative AI. Next, you will explore the metrics and benchmarking used to evaluate training data. This module focuses on bias within data and algorithmic fairness. By the end of your time in this module, you will be able to list and understand various other metrics used to evaluate the quality of generative AI models and assess the fairness and ethical considerations of each.

So far you have learned about what generative AI is and some of the fairness issues that you might encounter, as well as metrics you can use to evaluate your models. In this module we’ll talk about the actual model development lifecycle and how responsible AI practices might fit into it. You will explore different benchmarks and assessment tools and examine different RAI workflows. By the end of this module, you will have a better understanding about the development lifecycle and how to approach design more responsibly.

In this module you will be introduced to emerging technologies and the impact they have on technological change in society. You will be introduced to the ethics of these technologies and reflect on the myths and misconceptions surrounding them as well as the limitations to the development of these technologies.