Название: The AI Revolution: How Technological Developments Affect the Audiovisual Sector
Автор: Antonio Baraybar-Fernández, Sandro Arrufat-Martín, Belén Díaz Díaz
Издательство: Springer
Год: 2025
Страниц: 111
Язык: английский
Формат: pdf (true), epub
Размер: 10.4 MB

This book presents an overview of the vast landscape of Artificial Intelligence (AI) in the media industry, more specifically in the audiovisual sector. Readers are guided through the fundamental pillars of AI, from Machine Learning algorithms to advanced neural networks, revealing the technological foundations that drive innovation in the field of communication and media. The possibilities of AI in this area are explored and discussed with real case studies. The book highlights not only the technological developments, but also the ethical dilemmas that arise. From privacy issues to equity in access to education, the book provides a comprehensive view of the challenges that must be addressed to ensure the ethical and sustainable development of Artificial Intelligence.

Artificial Intelligence (AI) has evolved significantly since its inception, transforming from a mere theoretical conceptualization to an integral tool in various areas, including communication. From the creation of the first algorithms to advances in Deep Learning and neural networks, AI has enabled the development of systems capable of performing complex tasks that previously required human intervention. AI, defined as the ability of a machine to mimic human intelligence through algorithms and mathematical models, has been adopted in multiple sectors, with communication being one of the fields that has experienced the greatest changes and benefits.

In terms of evolution, the first efforts in AI focused on solving specific problems through problem-solving programs and games. However, the development of Machine Learning techniques and advances in computational processing power have enabled the creation of more sophisticated and autonomous systems. Deep Learning, a sub-discipline of Machine Learning that uses multi-­layered artificial neural networks, has been particularly revolutionary, facilitating improved natural language processing (NLP) and understanding of complex contexts.