Bi-directionality in Human-AI Collaborative Systems
eBook - ePub

Bi-directionality in Human-AI Collaborative Systems

  1. English
  2. ePUB (mobile friendly)
  3. Available on iOS & Android
eBook - ePub

Bi-directionality in Human-AI Collaborative Systems

About this book

Bi-directionality in Human-AI Collaborative Systems investigates the foundations, metrics, and applications of human-machine systems, along with the legal ramifications of autonomy, including standards, trust by the public, and bidirectional trust by users and AI systems. The book addresses the challenges in creating synergistic human and AI-based autonomous system-of-systems by focusing on the underlying challenges associated with bi-directionality. Chapters cover advances in LLMs, logic, machine learning choices, the development of standards, as well as human-centered approaches to autonomous human-machine teams. This is a valuable resource for world-class researchers and engineers who are theorizing on, designing, and developing autonomous systems.It will also be useful for government scientists, business leaders, social scientists, philosophers, regulators and legal experts interested in the impact of autonomous human-machine teams and systems. - Investigates the challenges in creating synergistic human and AI-based autonomous system-of-systems - Integrates concepts from a wide range of disciplines, including applied and theoretical AI, quantum mechanics, social sciences, and systems engineering - Presents debates, models, and concepts of mutual dependency for autonomous human-machine teams, challenging assumptions across AI, systems engineering, data science, and quantum mechanics

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Yes, you can access Bi-directionality in Human-AI Collaborative Systems by William Lawless,Ranjeev Mittu,Donald Sofge,Marco Brambilla in PDF and/or ePUB format, as well as other popular books in Design & Human-Computer Interaction. We have over one million books available in our catalogue for you to explore.

Information

Publisher
Academic Press
Year
2025
eBook ISBN
9780443405549
Edition
0
Topic
Design
Subtopic
Human-Computer Interaction

Table of contents

  1. Title of Book
  2. 1: Introduction to bidirectionality in human–AI collaborative systems
  3. 2: Foundational approaches to post-hoc explainability for image classification
  4. 3: Explaining poisoned AI models
  5. 4: Desirability vs. feasibility: a research through design inquiry of explainable AI
  6. 5: Credition, uncertainty, consciousness, and communication
  7. 6: On the principles and effectiveness of gamification in bidirectional artificial intelligence and explainable AI
  8. 7: Employing Kolmogorov–Arnold network for man–machine collaboration
  9. 8: Collaborative communication for unnamable risks: a creative writing approach to aligning human–machine situation models in an open world
  10. 9: Not all explanations are created equal: investigating the pitfalls of current XAI evaluation
  11. 10: A mixture-of-experts flock: examining expert influence
  12. 11: On replacing humans with human simulators in human-in-the-loop systems built to interact with humans
  13. 12: Addressing procrastination and improving task completion efficiency through agent-based interventions
  14. 13: Navigating the sociotechnical labyrinth: dynamic certification for responsible embodied AI
  15. 14: Searching XAI collaborating with manager: bidirectional learning for human-tech applications
  16. 15: Natural perception-based control types for human/machine systems
  17. 16: Hybrid forums as a means to perceive bidirectional risks
  18. 17: Credit assignment: challenges and opportunities in developing human-like learning agents
  19. 18: Human–machine teams: advantages afforded by the quantum-likeness of interdependence
  20. Index