Bi-directionality in Human-AI Collaborative Systems

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