Book Image

Responsible AI in the Enterprise

By : Adnan Masood, Heather Dawe
5 (1)
Book Image

Responsible AI in the Enterprise

5 (1)
By: Adnan Masood, Heather Dawe

Overview of this book

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.
Table of Contents (16 chapters)
Part 1: Bigot in the Machine – A Primer
Part 2: Enterprise Risk Observability Model Governance
Part 3: Explainable AI in Action

Fairness in AI Systems with Microsoft Fairlearn

Artificial intelligence must be designed to be aligned with human values, be transparent and explainable, and be robust and secure. (Timnit Gebru, former AI researcher at Google)

AI has the potential to be the greatest force for good in the world, or it could be the greatest threat. It all depends on how we design it. (Mustafa Suleyman, co-founder of DeepMind)

In the development of AI, we must be mindful of the potential for unintended consequences and ensure that the technology is being developed in a way that is fair, just, and equitable for all people. (Jeff Dean, CEO of Google AI)

The use of AI must always be guided by human values and principles, including fairness, equality, and non-discrimination. (Amrita Khalid, AI researcher and author)

In recent decades, artificial intelligence (AI) has transformed our relationship with the world. Due to the unreasonable effectiveness of data1, automated decision-making is quickly...