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Responsible AI in the Enterprise

You're reading from   Responsible AI in the Enterprise Practical AI risk management for explainable, auditable, and safe models with hyperscalers and Azure OpenAI

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Product type Paperback
Published in Jul 2023
Publisher Packt
ISBN-13 9781803230528
Length 318 pages
Edition 1st Edition
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Authors (2):
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Heather Dawe Heather Dawe
Author Profile Icon Heather Dawe
Heather Dawe
Adnan Masood Adnan Masood
Author Profile Icon Adnan Masood
Adnan Masood
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Toc

Table of Contents (16) Chapters Close

Preface 1. Part 1: Bigot in the Machine – A Primer
2. Chapter 1: Explainable and Ethical AI Primer FREE CHAPTER 3. Chapter 2: Algorithms Gone Wild 4. Part 2: Enterprise Risk Observability Model Governance
5. Chapter 3: Opening the Algorithmic Black Box 6. Chapter 4: Robust ML – Monitoring and Management 7. Chapter 5: Model Governance, Audit, and Compliance 8. Chapter 6: Enterprise Starter Kit for Fairness, Accountability, and Transparency 9. Part 3: Explainable AI in Action
10. Chapter 7: Interpretability Toolkits and Fairness Measures – AWS, GCP, Azure, and AIF 360 11. Chapter 8: Fairness in AI Systems with Microsoft Fairlearn 12. Chapter 9: Fairness Assessment and Bias Mitigation with Fairlearn and the Responsible AI Toolbox 13. Chapter 10: Foundational Models and Azure OpenAI 14. Index 15. Other Books You May Enjoy

Azure Machine Learning model interpretability

Microsoft Azure Machine Learning is a cloud-based service that provides data scientists with the ability to build, train, and deploy ML models. Azure Machine Learning makes it easy to track experiments, manage datasets, and collaborate with other data scientists. With this cloud ML platform, Azure Machine Learning offers tools for building and managing bespoke ML projects using managed Jupyter notebooks, Azure Machine Learning Designer (for drag-and-drop ML pipelines), and an automated ML UI. Microsoft also offers Azure Cognitive Services, which developers can use with no specific ML knowledge to use prebuilt AI as a service for use cases in speech, language, vision, and decision-making. Developers and data scientists can also use Azure’s OpenAI Service, which is in preview at the time of writing, to experiment with the most sophisticated language model technologies in the world.

Microsoft’s responsible AI ecosystem can...

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