Machines We Trust: Perspectives on Dependable AI

In an era increasingly defined by artificial intelligence, a diverse group of scholars and practitioners wrestles with the implications of trusting machines. This collection brings together voices from computer science, philosophy, ethics, and social sciences, each contributing to a nuanced exploration of reliable AI and the philosophical questions surrounding its use.

Contributors unpack the complex relationship between humans and technology, highlighting the ethical dilemmas and societal impacts of AI integration. They discuss the criteria for machine trustworthiness, questioning not only the reliability of algorithms but also the moral responsibilities of their creators.

Through a blend of theoretical insights and practical considerations, the book invites readers to reflect on their own reliance on technology and the future of human-AI interactions. By engaging with various perspectives, it encourages a critical dialogue on how society can navigate the challenges and opportunities of dependable AI in everyday life.