This book examines ways to regulate generative AI to reduce online hate and secure justice in a digital environment. Featuring research and offering practical guidelines, the book presents tangible guidelines for regulating generative AI models so they do not contribute to online hate disinformation and imagery.
This book examines ways to regulate generative AI to reduce online hate and secure justice in a digital environment. Featuring research and offering practical guidelines, the book presents tangible guidelines for regulating generative AI models so they do not contribute to online hate disinformation and imagery.Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
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.
Inhaltsangabe
1. Generative AI and Social Engines of Hate 2. Generative Artificial Intelligence: Introduction, Application, Trends, and Ethics 3. The Mechanics and Validation of Generative AI Outcomes 4. Generative AI for Hate Speech Detection: Evaluation and Findings 5. Best Practices and Key Considerations for Artificial Intelligence Regulation 6. The Use of Generative Artificial Intelligence (GenAI) Capabilities for Early Detection of Threats in the Digital Environment: The Good Side of GenAI 7. Unwanted Psychological Diagnoses: Discriminative Dangers of Generative AI 8. The Changing Landscape of the World Influenced by the Impact of Technology Driven by Artificial Intelligence 9. Stochastic Parroting: Leaders Versus the Artificial Intelligence Echo Chamber 10. Minimizing Hate Speech in Academic Environments with Artificial Intelligence Techniques
1. Generative AI and Social Engines of Hate 2. Generative Artificial Intelligence: Introduction, Application, Trends, and Ethics 3. The Mechanics and Validation of Generative AI Outcomes 4. Generative AI for Hate Speech Detection: Evaluation and Findings 5. Best Practices and Key Considerations for Artificial Intelligence Regulation 6. The Use of Generative Artificial Intelligence (GenAI) Capabilities for Early Detection of Threats in the Digital Environment: The Good Side of GenAI 7. Unwanted Psychological Diagnoses: Discriminative Dangers of Generative AI 8. The Changing Landscape of the World Influenced by the Impact of Technology Driven by Artificial Intelligence 9. Stochastic Parroting: Leaders Versus the Artificial Intelligence Echo Chamber 10. Minimizing Hate Speech in Academic Environments with Artificial Intelligence Techniques
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