Publisher's Synopsis
The rise of Artificial Intelligence (AI) amidst the backdrop of a world that is changing at lightning speed presents a whole new set of challenges. One of our biggest hurdles is more transparency in AI solutions. It's a complex issue, but one that we need to address if we want to ensure that the benefits of AI are accessible to everyone. Across diverse sectors such as healthcare, surveillance, and human-computer interaction, the inability to understand and evaluate AI's decision-making processes hinders progress and raises concerns about accountability. Cross-Industry AI Applications is a groundbreaking solution to illuminate the mysteries of AI-driven human behavior analysis. This pioneering book addresses the necessity of transparency and explainability in AI systems, particularly in analyzing human behavior. Compiling insights from leading experts and academics offers a comprehensive exploration of state-of-the-art methodologies, benchmarks, and systems for understanding and predicting human behavior using AI. Each chapter delves into novel approaches and real-world applications, from facial expressions to gesture recognition, providing invaluable knowledge for scholars and professionals alike. With its focus on explainable AI and its implications for decision-making, Cross-Industry AI Applications serves as a roadmap for navigating the complexities of human behavior analysis in the age of AI. By offering clarity and insight into AI algorithms and their impact on diverse industries, this book empowers readers to harness the full potential of AI while ensuring accountability and ethical practice. Join the forefront of AI research and innovation - order your copy today and embark on a transformative journey into the future of human-AI interaction.
