Название: Responsible AI: Best Practices for Creating Trustworthy AI Systems (Early Release)Автор: Qinghua Lu, Liming Zhu, Jon Whittle, Xiwei Xu
Издательство: Addison-Wesley Professional/Pearson
Год: 2023
Страниц: 702
Язык: английский
Формат: epub (true), mobi
Размер: 12.2 MB
The first practical guide for operationalizing responsible AI-from multi-level governance mechanisms to concrete design patterns and software engineering techniques. AI is solving real-world challenges and transforming industries, yet there are serious concerns about its ability to behave and make decisions in a responsible way. Operationalizing responsible AI is about providing concrete guides to a wide range of decision-makers and technologists on how to govern, design, and build responsible AI systems. These include governance mechanisms at the industry, organization and team level, software engineering best practices, architecture styles and design patterns, system-level techniques connecting code with data and model, and the trade-offs in decisions. Responsible AI includes a set of practices that technologists (e.g., technology-conversant decision-makers, software developers, and AI practitioners) can undertake to ensure that the developed AI systems are trustworthy throughout the entire lifecycle and trusted by those who use and rely on them. The book offers guidelines and best practices not just for the AI, which is typically a small part of a larger system, but also for the systems engineering process and organizational governance.
Название: Modell Fahrzeug