Generative Artificial Intelligence

The text showcases the use of designing artificial intelligence-based models for the detection and generation of misleading information using generative artificial intelligence. It covers topics such as neural machine translation, multilingual text generation, blog post generation, and social media post-synthesis. This book comprehensively covers designing and implementing misinformation intervention strategies and risk communication approaches for generative artificial intelligence (AI) technologies. Key Features: Showcases cutting‑edge technology and offers insights into one of the most rapidly evolving fields in AI Provides a comprehensive understanding of the underlying principles, algorithms, and applications of this cutting‑edge technology, offering insights into both its theoretical foundations and practical implementations Discusses generative AI models, unraveling the contrasts between machine learning, deep learning, and generative AI Presents AI‑based models for the detection and generation of fraudulent content Covers topics such as speech generation, deepfake technology, pose synthesis for animation, and sports performance analysis This book is primarily written for senior undergraduates, graduate students, and academic researchers in the fields of electrical engineering, electronics and communications engineering, computer science and engineering, and information technology.

Pages: 424, Edition: 1, Hardcover, CRC Press