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Responsible AI in the Enterprise

You're reading from  Responsible AI in the Enterprise

Product type Book
Published in Jul 2023
Publisher Packt
ISBN-13 9781803230528
Pages 318 pages
Edition 1st Edition
Languages
Authors (2):
Adnan Masood Adnan Masood
Profile icon Adnan Masood
Heather Dawe Heather Dawe
Profile icon Heather Dawe
View More author details

Table of Contents (16) Chapters

Preface 1. Part 1: Bigot in the Machine – A Primer
2. Chapter 1: Explainable and Ethical AI Primer 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

Summary

In this chapter, we covered a lot of ground exploring the governance, compliance, and regulatory landscape. We identified the key action items for an enterprise AI governance framework: identifying what data is available and how it can be used to improve decision-making; creating a governance structure that will ensure the responsible use of AI technologies; establishing clear goals and objectives for the implementation of AI technologies; allocating resources accordingly to support the development and deployment of AI applications; and finally, monitoring and evaluating the performance of AI technologies to ensure they are meeting business objectives.

We proposed the AI STEPS FORWARD framework as a comprehensive approach to responsible AI practices that emphasizes the importance of transparency, fairness, and ethical behavior in AI development and deployment. By offering customizable governance dashboards and checklists, as well as promoting diverse perspectives and continuous...

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