Drawing on scientific research and empirical evidence about how people interact with robotic and autonomous systems, this book examines concerns about the deployment of AI and robots in society, including the risks of disruption and harm. The author argues that transparency should be a core design principle for Human-Computer Interaction (HCI) and AI systems. The book begins with a global overview of research on transparency, exploring its significance in the broader context of trust, control, and ethics. It then introduces a transparent robot control architecture and discusses the effects of transparency through real-time displays.
A case study featuring a “muttering robot” is presented, along with discussions on how appearance influences transparency, current and emerging standards, and future directions for designing, manufacturing, and operating autonomous robotic systems. Chapters cover topics such as transparency and trust, transparent control architectures, real-time and audio-based transparency (including the Muttering Robot), the role of appearance, and practical examples of Instinct reactive planner commands.
This book offers valuable insights into transparency in robots and autonomous systems for industry professionals, academic researchers, and engineers involved in intelligent system design, human-robot interaction, AI, and machine ethics. It is also relevant for those developing policies and standards for intelligent autonomous and AI systems, as well as government and standards organizations working in emerging AI applications.
