Overview

AI is not a magic bullet. It is a mirror. Artificial intelligence is transforming our world, but what happens when the very systems we build to improve our lives are shaped by and amplify human bias? From flawed hiring algorithms to discriminatory loan applications and biased medical diagnoses, the consequences of unchecked AI skew are already a reality. Responsible Innovation & Bias Mitigation: Detecting and Correcting AI Skew is your essential guide to navigating the ethical minefield of artificial intelligence. This book goes beyond the headlines and provides a clear, actionable framework for anyone involved in the design, development, or deployment of AI systems. You will learn to identify the root causes of bias, from skewed data and flawed algorithms to unconscious human prejudice, and implement proven strategies to detect and correct it. Through real-world case studies and practical techniques, you will discover how to: Build equitable and representative datasets from the ground up. Apply algorithmic fairness metrics to ensure unbiased outcomes. Establish robust governance and accountability frameworks. Integrate human oversight to maintain ethical control. Foster a culture of responsible AI innovation within your organization. Whether you are a data scientist, a product manager, a business leader, or a concerned citizen, this book empowers you to not just build smarter technology, but to build a more just and equitable future. Buy this book and learn how to build AI you can trust.

Full Product Details

9798262801817

Table of Contents

Reviews

Author Information

Tab Content 6

Countries Available