Bi-directionality in Human-AI Collaborative Systems

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