AI for Social Sciences
With an Introduction to Security, Privacy, Ethics and Society Impacts
Buch in deiner Nähe kaufen
Beschreibung
The use of AI in social sciences is on the rise and gaining significant momentum. The book aims to demystify AI and its applications in social sciences by offering a straightforward description of its key concepts and tools, all in an easy-to-understand language.
The book delves into the fundamental elements of AI systems, shedding light on their capabilities as well as their inherent constraints. Moreover, the author explores AI tools that find applications in the realm of social sciences, including decision support systems rooted in machine learning, as well as knowledge-based. In addition, the book addresses the pertinent issues that, while not purely AI-related, are crucial in AI applications within the social sciences, most notably security and privacy considerations.
The content should be accessible to an audience ranging from undergraduate students to researchers and practitioners in the fields of AI and social sciences, assuming they possess a basic understanding of mathematics and a keen interest in the subject. This book is a bridge between the worlds of AI and social sciences, aiming to provide a fundamental understanding for those eager to explore the intersection of these two domains.
The use of AI in social sciences is on the rise and gaining significant momentum. The book aims to demystify AI and its applications in social sciences by offering a straightforward description of its key concepts and tools, all in an easy-to-understand language.
The book delves into the fundamental elements of AI systems, shedding light on their capabilities as well as their inherent constraints. Moreover, the author explores AI tools that find applications in the realm of social sciences, including decision support systems rooted in machine learning, as well as knowledge-based. In addition, the book addresses the pertinent issues that, while not purely AI-related, are crucial in AI applications within the social sciences, most notably security and privacy considerations.
The content should be accessible to an audience ranging from undergraduate students to researchers and practitioners in the fields of AI and social sciences, assuming they possess a basic understanding of mathematics and a keen interest in the subject. This book is a bridge between the worlds of AI and social sciences, aiming to provide a fundamental understanding for those eager to explore the intersection of these two domains.
Introduces AI in a broad yet rigorous way, without the level of mathematics or computer science needed in AI courses Discusses topics like knowledge representation, decision support systems, security, privacy, ethics and societal impacts Accessible to a wide audience, serves as reference for students and practitioners in social services and work management
Autor*in
Vicenç Torra
Themen in »AI for Social Sciences«
Social Sciences Machine Learning AI Ethics Decision Support Systems Trustworthy AI Security Data Science Large Language Models Intelligent Systems AI and Society Knowledge Representation