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.
1. Generative AI and Social Engines of Hate
Răzvan Rughiniș, Cosima Rughiniș, and Emanuela Bran
2. Generative Artificial Intelligence: Introduction, Application, Trends, and Ethics
Francisco J. Cantu-Ortiz
3. The Mechanics and Validation of Generative AI Outcomes
Andreas Oranje
4. Generative AI for Hate Speech Detection: Evaluation and Findings
Sagi Pendzel, Tomer Wullach, Amir Adler, and Einat Minkov
5. Best Practices and Key Considerations for Artificial Intelligence Regulation
Patricia de Sá Freire and Ana Donner Abreu
6.. The Use of Generative Artificial Intelligence (GenAI) Capabilities for Early Detection of Threats in the Digital Environment: The Good Side of GenAI
Edyta Skarzynska and Joanna Paliszkiewicz
7. Unwanted Psychological Diagnoses: Discriminative Dangers of Generative AI
Mirko Farina, Xiao Yu, and Andrea Lavazza
8. The Changing Landscape of the World Influenced by the Impact of Technology Driven by Artificial Intelligence
Moti Zwilling, Idit Yutav Sohlberg, and Avi Zigdon
9. Stochastic Parroting: Leaders Versus the Artificial Intelligence Echo Chamber
Joseph Crawford and Michael Cowling
10. Minimizing Hate Speech in Academic Environments with Artificial Intelligence Techniques
Ricardo Pereira, Florinda Matos, Neri dos Santos, and Roberto Carlos dos Santos Pacheco
Biography
Dr. Jay Liebowitz is the Professor of Business Innovation and Industry Transformation and Director of a new AI-EDGE Center in the Crummer Graduate School of Business at Rollins College in Winter Park, Florida. He has recently served as the inaugural Executive-in-Residence for Public Service at Columbia University’s Data Science Institute. He was previously a Visiting Professor in the Stillman School of Business and the MS-Business Analytics Capstone & Co-Program Director (External Relations) at Seton Hall University. De Liebowitz previously served as the Distinguished Chair of Applied Business and Finance at Harrisburg University of Science and Technology. Before HU, he was the Orkand Endowed Chair of Management and Technology in the Graduate School at the University of Maryland University College (UMUC). He served as a Full Professor in the Carey Business School at Johns Hopkins University.
