What you would learn in Responsible AI course?
His book is for software product managers who use AI to create intelligent models or plan to use them. AI-driven products must demonstrate that they do not introduce bias in AI-based decisions.
Data scientists are not the only ones responsible for ensuring that AI models make ethical decisions and follow the rules. Product owners and business analysts play a crucial role in making sure that AI is free from bias. This book focuses on these roles in creating a fair, transparent, and accountable model. It also addresses data privacy and model construction. Each chapter begins with the basics of the topic and then delve into the specifics. This allows the business analysts to understand the issues and data scientists to implement them.
AI research is one of the fastest-growing areas in computer science and statistics. This book provides an overview of many techniques derived from research or created by combining research outputs. Although some methods are drawn from popular and relevant libraries, they are not heavily covered as many of them are well-documented and will likely be replaced by new research.
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