Adnan Masood, Heather Dawe

Responsible AI in the Enterprise (eBook, ePUB)

Practical AI risk management for explainable, auditable, and safe models with hyperscalers and Azure OpenAI

• Format: ePub

Produktbeschreibung

Responsible 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, you’ll explore interpretability toolkits and fairness measures offered by major cloud AI providers like IBM, Amazon, Google, and Microsoft, while discovering how to use FairLearn for fairness assessment and bias mitigation. You’ll also learn to build explainable models using global and local feature summary, local surrogate model, Shapley values, anchors, and counterfactual explanations.
By the end of this book, you’ll be well-equipped with tools and techniques to create transparent and accountable machine learning models.

Produktdetails

• Verlag: Packt Publishing
• Seitenzahl: 318
• Erscheinungstermin: 31. Juli 2023
• Englisch
• ISBN-13: 9781803249667
• Artikelnr.: 70295380

Autorenporträt

Adnan Masood, PhD is a visionary leader practitioner in the field of artificial intelligence, with over 20 years of experience in financial technology and large-scale systems development. He drives the firm's digital transformation, machine learning, and AI strategy. Dr. Masood collaborates with renowned institutions like Stanford AI Lab and MIT CSAIL, holds several patents in AI and machine learning, and is recognized by Microsoft as an AI MVP and Regional Director. In addition to his work in the technology industry, Dr. Masood is a published author, international speaker, STEM robotics coach, and diversity advocate.