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Responsible AI in the Enterprise : Practical AI Risk Management for Explainable, Auditable, and Safe Models with Hyperscalers and Azure OpenAI by Adnan Masood, Heather Dawe is a nonfiction available to read on EtoBox.

What is Responsible AI in the Enterprise : Practical AI Risk Management for Explainable, Auditable, and Safe Models with Hyperscalers and Azure OpenAI about?

Build and deploy your AI models successfully by exploring model governance, fairness, bias, and potential pitfalls Key Features Learn ethical AI principles, frameworks, and governance Understand the concepts of fairness assessment and bias mitigation Introduce explainable AI and transparency in your machine learning models Book DescriptionResponsible AI in the Enterprise is a comprehensive guide to implementing ethical, transparent, and compliant AI systems in an organization. With a focus on understanding key concepts of machine learning models, this book equips you with techniques and algorithms to tackle complex issues such as bias, fairness, and model governance. Throughout the book, you’ll gain an understanding of FairLearn and InterpretML, along with Google What-If Tool, ML Fairness Gym, IBM AI 360 Fairness tool, and Aequitas. You’ll uncover various aspects of responsible AI, including model interpretability, monitoring and management of model drift, and compliance recommendations. You’ll gain practical insights into using AI governance tools to ensure fairness, bias mitigation, explainability, privacy compliance, and privacy in an enterprise setting. Additionally, y

Who reads Responsible AI in the Enterprise : Practical AI Risk Management for Explainable, Auditable, and Safe Models with Hyperscalers and Azure OpenAI?

Author

Adnan Masood, Heather Dawe

Publisher

Packt Publishing, Limited

Published

2023

Language

EN

ISBN

9781803230528

Category

nonfiction

Subjects

Computer Science, Science, Artificial Intelligence (Ai)