Putting Ai In The Critical Loop
Download Putting Ai In The Critical Loop PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Putting Ai In The Critical Loop book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages.
Putting AI in the Critical Loop
Putting AI in the Critical Loop: Assured Trust and Autonomy in Human-Machine Teams takes on the primary challenges of bidirectional trust and performance of autonomous systems, providing readers with a review of the latest literature, the science of autonomy, and a clear path towards the autonomy of human-machine teams and systems. Throughout this book, the intersecting themes of collective intelligence, bidirectional trust, and continual assurance form the challenging and extraordinarily interesting themes which will help lay the groundwork for the audience to not only bridge knowledge gaps, but also to advance this science to develop better solutions. The distinctively different characteristics and features of humans and machines are likely why they have the potential to work well together, overcoming each other's weaknesses through cooperation, synergy, and interdependence which forms a "collective intelligence.” Trust is bidirectional and two-sided; humans need to trust AI technology, but future AI technology may also need to trust humans.
Artificial Intelligence Using Federated Learning
Federated machine learning is a novel approach to combining distributed machine learning, cryptography, security, and incentive mechanism design. It allows organizations to keep sensitive and private data on users or customers decentralized and secure, helping them comply with stringent data protection regulations like GDPR and CCPA. Artificial Intelligence Using Federated Learning: Fundamentals, Challenges, and Applications enables training AI models on a large number of decentralized devices or servers, making it a scalable and efficient solution. It also allows organizations to create more versatile AI models by training them on data from diverse sources or domains. This approach can unlock innovative use cases in fields like healthcare, finance, and IoT, where data privacy is paramount. The book is designed for researchers working in Intelligent Federated Learning and its related applications, as well as technology development, and is also of interest to academicians, data scientists, industrial professionals, researchers, and students.
Experimental Methodology for Human–Robot Interaction
Leading figures in Australian robotics research provide an overview and guidance for human–robot interaction (HRI) experimental design and evaluation methodologies that consider the ethical implications of the research and its applications from a human-centred and contextual perspective. The authors explain introductory and advanced topics in HRI with a focus on human-centred evaluation and ethical practices. They also provide an online interactive checklist tool for novice HRI researchers and students to deploy when designing their own studies. The book is structured into three parts. In Part I, the authors first review fundamental methodologies and provide an interactive checklist tool of the HRI experimental study life cycle to guide beginners to the field. Part II introduces an expanded set of approaches to support researchers and practitioners to create high-quality study designs that draw on practices from human-computer interaction, human-centred artificial intelligence, psychology and social science, and advance ethical HRI research. Finally, in Part III, the authors discuss a selection of HRI studies as examples of how the introduced methodologies are adopted, which will support the readers to further understand the fundamental and advanced methodologies described in Parts I and II. The diverse collection of case studies enables readers to grasp the state of the art and apply what they have learned in their own practices. This book is a vital resource for both students new to the field and experienced researchers and practitioners. The book’s practical focus and clear elucidation of relevant case studies, from its introduction to the HRI experimental study life cycle through to advanced methods emerging in the field, ensures that this will greatly benefit progress in the field with human-centred and ethical experimental methodology.