Putting Ai In The Critical Loop

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Putting Ai In The Critical Loop

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Author : Prithviraj Dasgupta
language : en
Publisher: Elsevier
Release Date : 2024-02-22

Putting Ai In The Critical Loop written by Prithviraj Dasgupta and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-02-22 with Computers categories.

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

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Author : Ahmed A Elngar
language : en
Publisher: CRC Press
Release Date : 2024-12-30

Artificial Intelligence Using Federated Learning written by Ahmed A Elngar and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-12-30 with Computers categories.

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

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Author : Leimin Tian
language : en
Publisher: CRC Press
Release Date : 2025-06-30

Experimental Methodology For Human Robot Interaction written by Leimin Tian and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-30 with Computers categories.

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.

Designing Human Swarm Interaction Systems

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Author : Oscar Bjurling
language : en
Publisher: Linköping University Electronic Press
Release Date : 2025-02-20

Designing Human Swarm Interaction Systems written by Oscar Bjurling and has been published by Linköping University Electronic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-20 with categories.

Swarms of Unmanned Aerial Vehicles (UAVs, or drones) are envisioned to transform various fields, from emergency response to law enforcement and military operations. Drone swarms provide scalable, adaptable, and decentralized solutions for dynamic work environments. However, the successful integration of these multi-agent systems into real-world settings presents significant challenges, particularly in terms of how humans can safely and effectively interact with and control these systems. Human-Swarm Interaction (HSI) aims to address these challenges by exploring how human operators can manage multiple drones in a cohesive manner, even under highly complex, uncertain conditions. This thesis studies the problem of designing effective interaction mechanisms and interfaces for human operators to command drone swarms, specifically addressing challenges such as managing a large number of drones, supporting operators’ situational awareness, and balancing between centralized and decentralized control. The research highlights the necessity of rethinking conventional approaches by introducing alternative conceptual models, such as the "choir" metaphor, which re-imagines drone swarms as coordinated, semi-centralized ensembles rather than purely emergent, decentralized collectives. This metaphor aims to balance the collective, often unpredictable behavior of drone swarms with the predictable, directed actions needed in operational environments. By demonstrating how this metaphor can be operationalized in an HSI system architecture, the thesis provides new avenues for conceptualizing human interaction with autonomous systems. Using a design research approach incorporating multiple-case study and scenario-based design activities to envision future swarm application in dialogue with prospective end users, the thesis develops and evaluates prototypes that embody these nuanced HSI concepts. The interface prototypes draw design inspiration from Real-Time Strategy (RTS) games. These elements include group commands, high-level mission planning, and resource pooling to create a hybrid interaction model that allows operators to maintain both a broad overview and precise control of multiple autonomous and collaborating drones. Domain expert evaluations of these prototypes in contexts such as firefighting and airport management validate the practical utility of these concepts. The findings emphasize the value of adopting a Human-Technology-Organization (HTO) perspective in the design of HSI systems. Rather than focusing solely on the interaction between humans and technology, this systems-thinking approach acknowledges that drone swarms must be integrated into larger organizational frameworks, such as emergency response command structures or airport ground operations teams. It demonstrates that successful deployment requires accounting for the broader organizational context, including roles, workflows, and coordination needs. This holistic approach to HSI system design ensures that drone swarms not only meet technical performance criteria, such as reliability, responsiveness, and scalability, but also align with human and organizational needs, facilitating their adoption and effective use in a wide range of real-world scenarios. Ultimately, these contributions are intended to bridge the gap between theoretical models of swarm control and practical deployment, advancing both the field of HSI and the broader adoption of drone swarm technologies. Svärmar av obemannade luftfarkoster (UAV, eller drönare) förväntas omvandla flera områden, exempelvis räddningsinsatser, brottsbekämpning, och militäroperationer. Drönarsvärmar innebar skalbara, anpassningsbara, och decentraliserade lösningar for dynamiska arbetsuppgifter. Den lyckade integreringen av dessa multi-agent-system i verkliga miljöer innebar dock betydande utmaningar, särskilt med avseende på hur människor säkert och effektivt interagerar med och kontrollerar dessa system. Forskningsfältet Människa-Svärm Interaktion (MSI) syftar till att möta dessa utmaningar genom att undersöka hur mänskliga operatorer kan hantera flera drönare på ett sammanhängande vis, även under komplexa och osäkra förhållanden. Denna avhandling utreder problemet att utforma effektiva och säkra interaktionsmekanismer och gränssnitt for mänskliga operatorer att leda drönarsvärmar, specifikt genom att adressera utmaningar som att hantera ett stort antal drönare, stödja operatorers situationsmedvetenhet, och balansera mellan centraliserad och decentraliserad kontroll. Avhandlingen betonar vikten av att ifrågasatta konventionella tillvägagångssätt genom att introducera alternativa konceptuella modeller, såsom "kör"-metaforen, som omtolkar drönarsvärmar som koordinerade, semicentraliserade ensembler snarare än rent decentraliserade kollektiv. Denna metafor syftar till att balansera det kollektiva, ofta oförutsägbara beteendet hos drönarsvärmar med de förutsägbara, riktade handlingar som behövs i operativa miljöer. Genom att visa hur denna metafor kan operationaliseras i en MSI-systemarkitektur, erbjuder avhandlingen nya sätt att konceptualisera mänsklig interaktion med autonoma system. Genom att tillämpa en designforskningsmetod som innefattar fallstudier och scenariobaserade designaktiviteter för att föreställa sig framtida svärmtillämpningar i dialog med potentiella slutanvändare, utvecklar och utvärderar avhandlingen prototyper som manifesterar dessa nyanserade MSI-koncept. Gränssnittens prototyper drar designinspiration från realtidsstrategispel (RTS). Dessa element inkluderar enhetshantering och kommandon på gruppnivå, strategisk uppdragsplanering, och resursdelning för att skapa en hybrid interaktionsmodell som gör det möjligt för operatörer att både bibehålla en bred lägesbild och utöva precis kontroll över flera autonoma och samverkande drönare. Domänexperters utvärderingar av dessa prototyper i arbetskontexter som brandbekämpning och flygplatsledning påvisar den praktiska användbarheten av dessa koncept. Resultaten betonar värdet av att anta ett Människa-Teknik-Organisation (MTO)-perspektiv vid utformningen av MSI-system. Snarare än att enbart fokusera på interaktionen mellan människor och teknik, erkänner detta systemtänkande tillvägagångssätt att drönarsvärmar måste integreras i större organisatoriska ramar, såsom ledningsstrukturer for räddningsinsatser eller markoperativa team på flygplatser. Det visar att framgångsrik implementering av drönarsvärmar kräver att systemutvecklare tar hänsyn till det bredare organisatoriska sammanhanget, inklusive roller, arbetsflöden, och samverkansbehov. Detta holistiska tillvägagångssatt för utformningen av MSI-system säkerställer att drönarsvärmar inte bara uppfyller tekniska prestandakriterier, såsom tillförlitlighet, responsivitet, och skalbarhet, utan också överensstämmer med mänskliga och organisatoriska behov, vilket underlättar deras införande och effektiv användning i en mängd olika tillämpningsscenarier. Över lag är dessa forskningsbidrag avsedda att överbrygga gapet mellan teoretiska modeller för svärmstyrning och praktisk implementering, och därmed avancera och främja både MSI-området och den bredare användningen av svärmteknologier.

Fundamentals And Frontiers Of Medical Education And Decision Making

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Author : Jordan Richard Scheonherr
language : en
Publisher: Taylor & Francis
Release Date : 2024-07-22

Fundamentals And Frontiers Of Medical Education And Decision Making written by Jordan Richard Scheonherr and has been published by Taylor & Francis this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-07-22 with Medical categories.

Fundamentals and Frontiers of Medical Education and Decision-Making brings together international experts to consider the theoretical, practical, and sociocultural foundations of health professions education. In this volume, the authors review the foundational theories that have informed the early transition to competency-based education. Moving beyond these monolithic models, the authors draw from learning and psychological sciences to provide a means to operationalize competencies. The chapters cover fundamental topics including the transition from novices to experts, the development of psychomotor skills in surgery, the role of emotion and metacognition in decision-making, and how practitioners and laypeople represent and communicate health information. Each section provides chapters that integrate and advance our understanding of health professions education and decision- making. Grounded in psychological science, this book highlights the fundamental issues faced by healthcare professionals, and the frontiers of learning and decision-making. It is important reading for a wide audience of healthcare professionals, healthcare administrators, as well as researchers in judgment and decision-making.

Interdisciplinary Approaches To The Structure And Performance Of Interdependent Autonomous Human Machine Teams And Systems A Hmt S

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Author : William Frere Lawless
language : en
Publisher: Frontiers Media SA
Release Date : 2023-03-30

Interdisciplinary Approaches To The Structure And Performance Of Interdependent Autonomous Human Machine Teams And Systems A Hmt S written by William Frere Lawless and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-03-30 with Science categories.

Artificial Intelligence For Robotics

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Author : Francis X. Govers
language : en
Publisher: Packt Publishing Ltd
Release Date : 2018-08-30

Artificial Intelligence For Robotics written by Francis X. Govers and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-08-30 with Computers categories.

Bring a new degree of interconnectivity to your world by building your own intelligent robots Key Features Leverage fundamentals of AI and robotics Work through use cases to implement various machine learning algorithms Explore Natural Language Processing (NLP) concepts for efficient decision making in robots Book DescriptionArtificial Intelligence for Robotics starts with an introduction to Robot Operating Systems (ROS), Python, robotic fundamentals, and the software and tools that are required to start out with robotics. You will learn robotics concepts that will be useful for making decisions, along with basic navigation skills. As you make your way through the chapters, you will learn about object recognition and genetic algorithms, which will teach your robot to identify and pick up an irregular object. With plenty of use cases throughout, you will explore natural language processing (NLP) and machine learning techniques to further enhance your robot. In the concluding chapters, you will learn about path planning and goal-oriented programming, which will help your robot prioritize tasks. By the end of this book, you will have learned to give your robot an artificial personality using simulated intelligence.What you will learn Get started with robotics and artificial intelligence Apply simulation techniques to give your robot an artificial personality Understand object recognition using neural networks and supervised learning techniques Pick up objects using genetic algorithms for manipulation Teach your robot to listen using NLP via an expert system Use machine learning and computer vision to teach your robot how to avoid obstacles Understand path planning, decision trees, and search algorithms in order to enhance your robot Who this book is for If you have basic knowledge about robotics and want to build or enhance your existing robot’s intelligence, then Artificial Intelligence for Robotics is for you. This book is also for enthusiasts who want to gain knowledge of AI and robotics.

Artificial Intelligence For Robotics

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Author : Francis X. Govers III
language : en
Publisher: Packt Publishing Ltd
Release Date : 2024-03-29

Artificial Intelligence For Robotics written by Francis X. Govers III and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-03-29 with Technology & Engineering categories.

Let an AI and robotics expert help you apply AI, systems engineering, and ML concepts to create smart robots capable of interacting with their environment and users, making decisions, and navigating autonomously Key Features Gain a holistic understanding of robot design, systems engineering, and task analysis Implement AI/ML techniques to detect and manipulate objects and navigate robots using landmarks Integrate voice and natural language interactions to create a digital assistant and artificial personality for your robot Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionUnlock the potential of your robots by enhancing their perception with cutting-edge artificial intelligence and machine learning techniques. From neural networks to computer vision, this second edition of the book equips you with the latest tools, new and expanded topics such as object recognition and creating artificial personality, and practical use cases to create truly smart robots. Starting with robotics basics, robot architecture, control systems, and decision-making theory, this book presents systems-engineering methods to design problem-solving robots with single-board computers. You'll explore object recognition using YOLO and genetic algorithms to teach your robot to identify and pick up objects, leverage natural language processing to give your robot a voice, and master neural networks to classify and separate objects and navigate autonomously, before advancing to guiding your robot arms using reinforcement learning and genetic algorithms. The book also covers path planning and goal-oriented programming to prioritize your robot's tasks, showing you how to connect all software using Python and ROS 2 for a seamless experience. By the end of this book, you'll have learned how to transform your robot into a helpful assistant with NLP and give it an artificial personality, ready to tackle real-world tasks and even crack jokes.What you will learn Get started with robotics and AI essentials Understand path planning, decision trees, and search algorithms to enhance your robot Explore object recognition using neural networks and supervised learning techniques Employ genetic algorithms to enable your robot arm to manipulate objects Teach your robot to listen using Natural Language Processing through an expert system Program your robot in how to avoid obstacles and retrieve objects with machine learning and computer vision Apply simulation techniques to give your robot an artificial personality Who this book is for This book is for practicing robotics engineers and enthusiasts aiming to advance their skills by applying AI and ML techniques. Students and researchers looking for practical guidance for solving specific problems or approaching a difficult robot design will find this book insightful. Proficiency in Python programming, familiarity with electronics and wiring, single board computers, Linux-based command-line interface (CLI), and knowledge of AI/ML concepts are required to get started with this book.

Digital Twin Technology For The Energy Sector

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Author : Mohammadreza Aghaei
language : en
Publisher: Elsevier
Release Date : 2024-11-14

Digital Twin Technology For The Energy Sector written by Mohammadreza Aghaei and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-11-14 with Business & Economics categories.

Digital Twin Technology for the Energy Sector: Fundamental, Advances, Challenges, and Applications introduces the energy sector to this innovative technology and its potential for supporting energy transition. The book outlines the fundamentals of digital twin technology (DTT), giving readers a thorough grounding in its theory and use. Additional chapters provide practical, real-world options for applying the technology in a variety of energy sectors, from wind, solar, and hydropower, to the electrical industry and mobility. Its potential uses for energy flexibility, managing supply and demand in electric grids, and energy modeling in real time are also given significant attention.Including insights from a wide range of expert researchers and industry professionals, this book will guide readers from their first steps in DTT to developing innovative applications for the energy sector of the future. - Provides a clear grounding in the fundamentals of DTT and opportunities for this innovative method in the energy industry - Guides students and industry practitioners step-by-step from the discovery of techniques to practical model building - Includes examples and case studies presented by a range of global experts - Led by an experienced editorial team of educators and industry professionals

Towards Ethical And Socially Responsible Explainable Ai

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Author : Mohammad Amir Khusru Akhtar
language : en
Publisher: Springer Nature
Release Date : 2024-08-30

Towards Ethical And Socially Responsible Explainable Ai written by Mohammad Amir Khusru Akhtar and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-08-30 with Technology & Engineering categories.

"Dive deep into the evolving landscape of AI with 'Towards Ethical and Socially Responsible Explainable AI'. This transformative book explores the profound impact of AI on society, emphasizing transparency, accountability, and fairness in decision-making processes. It offers invaluable insights into creating AI systems that not only perform effectively but also uphold ethical standards and foster trust. Essential reading for technologists, policymakers, and all stakeholders invested in shaping a responsible AI future."