Trust in Artificial Intelligence
Organizational, Educational, Technical and Societal Perspectives
Buch in deiner Nähe kaufen
Beschreibung
In an age in which AI systems increasingly shape our everyday lives, our educational environments, and our workplaces, one question becomes central: How do we build trust in them?
An enhanced translation of the 2024 German edition published by Springer Vieweg Wiesbaden, this groundbreaking book offers a comprehensive exploration of trust in artificial intelligence from organizational, educational, technical, and societal perspectives, with a particular focus on the transformative role of AI in higher education.
As systems like ChatGPT and Claude raise fundamental questions about the evolving relationship between humans and machines, this book provides essential guidance for leaders, educators, developers, and policymakers in both German- and English-speaking contexts. Renowned experts contribute interdisciplinary insights that blend theory with practical case studies, ranging from AI-supported decision-making in organizations to trustworthy AI applications in universities, student support systems, and teaching-learning processes.
Of particular value are the concrete frameworks for human-centered AI design, in-depth analyses of fairness and transparency criteria, and cultural studies perspectives that illuminate the paradoxes of trusting technological systems. Readers will gain not only a deeper understanding of the psychological and ethical dimensions of AI trust, but also actionable strategies for designing and implementing trustworthy AI in their own fields – including practical approaches for higher-education institutions navigating the AI transformation.
While a certain familiarity with basic AI concepts would ease the reading experience, the book also provides accessible entry points for newcomers interested in understanding how trust can be built in the technologies that increasingly shape our future.
In an age in which AI systems increasingly shape our everyday lives, our educational environments, and our workplaces, one question becomes central: How do we build trust in them?
An enhanced translation of the 2024 German edition published by Springer Vieweg Wiesbaden, this groundbreaking book offers a comprehensive exploration of trust in artificial intelligence from organizational, educational, technical, and societal perspectives, with a particular focus on the transformative role of AI in higher education.
As systems like ChatGPT and Claude raise fundamental questions about the evolving relationship between humans and machines, this book provides essential guidance for leaders, educators, developers, and policymakers in both German- and English-speaking contexts. Renowned experts contribute interdisciplinary insights that blend theory with practical case studies, ranging from AI-supported decision-making in organizations to trustworthy AI applications in universities, student support systems, and teaching-learning processes.
Of particular value are the concrete frameworks for human-centered AI design, in-depth analyses of fairness and transparency criteria, and cultural studies perspectives that illuminate the paradoxes of trusting technological systems. Readers will gain not only a deeper understanding of the psychological and ethical dimensions of AI trust, but also actionable strategies for designing and implementing trustworthy AI in their own fields – including practical approaches for higher-education institutions navigating the AI transformation.
While a certain familiarity with basic AI concepts would ease the reading experience, the book also provides accessible entry points for newcomers interested in understanding how trust can be built in the technologies that increasingly shape our future.
Offers a unique perspective by examining trust in AI within specific cultural, societal and legal contexts Integrates technical, organizational, educational and societal viewpoints into a holistic understanding of AI trust Combines solid foundations with concrete use cases and actionable guidance for German- and English-speaking stakeholders
Autor*in
Janine Strotherm
Themen in »Trust in Artificial Intelligence«
Trustworthy AI Ethical AI Human-Computer Interaction AI Governance Transparency Responsible AI Risk Assessment Social Acceptance Digital Ethics Data Protection Algorithmic Accountability Fairness AI Discourse