Name: Responsible ai: Implementing Ethical and Unbiased Algorithms (en Inglés)
Price: 2063.89 MXN
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Author: Agarwal, Sray ; Mishra, Shashin
ISBN: 9783030769772

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portada Responsible ai: Implementing Ethical and Unbiased Algorithms (en Inglés)

Formato

Libro Físico

Autor

Sray Agarwal

Shashin Mishra

Editorial

Springer

Año

2021

Idioma

Inglés

N° páginas

177

Encuadernación

Tapa Dura

Dimensiones

23.4 x 15.6 x 1.3 cm

Peso

0.46 kg.

ISBN13

9783030769772

N° edición

Categorías

Filosofía ética y moral
Tecnologías digitales: aspectos éticos y sociales
Inteligencia artificial

Responsible ai: Implementing Ethical and Unbiased Algorithms (en Inglés)

Sray Agarwal (Autor) · Shashin Mishra (Autor) · Springer · Tapa Dura

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Reseña del libro "Responsible ai: Implementing Ethical and Unbiased Algorithms (en Inglés)"

This book is written for software product teams that use AI to add intelligent models to their products or are planning to use it. As AI adoption grows, it is becoming important that all AI driven products can demonstrate they are not introducing any bias to the AI-based decisions they are making, as well as reducing any pre-existing bias or discrimination. The responsibility to ensure that the AI models are ethical and make responsible decisions does not lie with the data scientists alone. The product owners and the business analysts are as important in ensuring bias-free AI as the data scientists on the team. This book addresses the part that these roles play in building a fair, explainable and accountable model, along with ensuring model and data privacy. Each chapter covers the fundamentals for the topic and then goes deep into the subject matter - providing the details that enable the business analysts and the data scientists to implement these fundamentals. AI research is one of the most active and growing areas of computer science and statistics. This book includes an overview of the many techniques that draw from the research or are created by combining different research outputs. Some of the techniques from relevant and popular libraries are covered, but deliberately not drawn very heavily from as they are already well documented, and new research is likely to replace some of it.