Regulating Hate Speech Created by Generative AI

Jay Liebowitz

• Publisher: Auerbach Publications
• Year: 2024
• Print ISBN: 9781032644349
• eBook ISBN: 9781040130247
• Topic: Computer Science
• Subtopic: Digital Marketing
• Index: Computer Science

Regulating Hate Speech Created by Generative AI explores the new hybrid space of Human Machine Interaction (HMI) in which hate speech is represented and computed through algorithms and AI generative systems. The book is exploratory because there are still many problem-solving challenges to be faced. It is also innovative because it is not assuming that solutions lie only in technological advancements but on a broader scale. In this sense, large language models can and are being considered from a holistic view (i.e., from the different dimensions and layers of regulatory and legal governance). Highlights of the book include:

• Generative AI and social engines of hate
• An introduction to generative Artificial Intelligence application, trends, and ethics
• The mechanics and validation of generative AI outcomes
• An evaluation of Generative AI for hate speech detection
• Best practices and key considerations for AI regulation
• Using GenAI capabilities for early detection of threats in the digital environment.

This book is a hard look at ways to regulate generative AI to reduce online hate and secure justice in a digital environment. Featuring research and offering practical guidelines, the book examines guidelines for regulating generative AI models, so they do not contribute to online hate disinformation and imagery.

Table of contents

• Cover Page
• Half Title page
• Title Page
• Copyright Page
• Trademarks Used in This Book
• Contents
• List of Figures and Tables
• Foreword: A Holistic Framework for Hate Speech Modelling
• Preface
• List of Contributors
• About the Editor
• Chapter 1 Generative AI and Social Engines of Hate
• Chapter 2 Generative Artificial Intelligence: Ontroduction, Application, Trends, and Ethics
• Chapter 3 The Mechanics and Validation of Generative AI Outcomes
• Chapter 4 Generative AI for Hate Speech Detection: Evaluation and Findings
• Chapter 5 Best Practices and Key Considerations for Artificial Intelligence Regulation
• Chapter 6 The Use of Generative Artificial Intelligence (GenAI) Capabilities for Early Detection of Threats in the Digital Environment: The Good Side of GenAI
• Chapter 7 Unwanted Psychological Diagnoses: Discriminative Dangers of Generative AI
• Chapter 8 The Changing Landscape of the World Influenced by the Impact of Technology Driven by Artificial Intelligence
• Chapter 9 Stochastic Parroting: Leaders Versus the Artificial Intelligence Echo Chamber
• Chapter 10 Minimizing Hate Speech in Academic Environments with Artificial Intelligence Techniques
• Index