Artificial Intelligence Neural Networks And Privacy Striking A Balance Between Innovation Knowledge And Ethics In The Digital Age

Artificial Intelligence, Neural Networks and Privacy: Striking a Balance between Innovation, Knowledge, and Ethics in the Digital Age

This book offers a compelling journey through the history, current state, and future of privacy, personal data protection, and artificial intelligence, exploring societal changes and effects. The author takes us back to the ancient origins of privacy, showing how the concept has profoundly evolved through different eras and the complex international regulations that today govern the processing of our personal data, such as the GDPR. The role of privacy in everyday life is explored, paying particular attention not only to our control over personal data but also to the emotional and psychological dynamics that determine our willingness to share intimate information in the digital age. Privacy and artificial intelligence are increasingly interconnected, creating new and complex challenges. Starting from the AI Act, the European regulation on artificial intelligence, the interactions between AI and emerging phenomena such as emotions, digital twins, AI agents, and quantum privacy are described. The book explores emerging digital identity frontiers, examining today’s most advanced technologies’ social, ethical, and cultural impacts. Ample space is also reserved for artificial intelligence’s practical and legislative aspects, from LLM to managing security-related risks, algorithmic biases, hallucinations, and industry standards, thus fully providing the reader with the tools to understand this constantly evolving scenario.

Artificial Intelligence, Neural Networks and Privacy: Striking a Balance Between Innovation, Knowledge, and Ethics in the Digital Age

Responsible Artificial Intelligence

In this book, the author examines the ethical implications of Artificial Intelligence systems as they integrate and replace traditional social structures in new sociocognitive-technological environments. She discusses issues related to the integrity of researchers, technologists, and manufacturers as they design, construct, use, and manage artificially intelligent systems; formalisms for reasoning about moral decisions as part of the behavior of artificial autonomous systems such as agents and robots; and design methodologies for social agents based on societal, moral, and legal values. Throughout the book the author discusses related work, conscious of both classical, philosophical treatments of ethical issues and the implications in modern, algorithmic systems, and she combines regular references and footnotes with suggestions for further reading. This short overview is suitable for undergraduate students, in both technical and non-technical courses, and for interested and concerned researchers, practitioners, and citizens.