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

Autonomous weapon systems and military

Military use of AI is an area of major concern, and some believe that the ship on autonomous weapon systems has already sailed. These AI systems can target and engage without human control51 and, therefore, can potentially be one step away from starting a nuclear catastrophe. There have been known incidents of using these weapons in the field, such as the satellite-controlled machine gun with AI that was used to kill Iran’s top nuclear scientist, Mohsen Fakhrizadeh,52 without injuring his wife beside him. It shows the lethal precision of such weapons. There are known autonomous weapons projects including SGR-A153, armed unmanned aerial vehicles (UAVs) (commonly known as drones) that can carry automatic weapons54, autonomous tanks and unmanned combat ground vehicles (UCCGs) such as Uran-9 55, and Ghost Robotics quadrupedal robots (also known as robot dogs) with guns56.

The list we’ve just reviewed, though disheartening and far...