Elsevier Bi-directionality in Human-AI Collaborative Systems - Academic Press

Bi-directionality in Human-AI Collaborative Systems explores the essential foundations and metrics for effective human-machine partnerships, addressing how autonomous systems can work synergistically with human operators. This comprehensive guide examines the legal ramifications of AI autonomy, public trust mechanisms, and bidirectional trust between users and AI systems. The book covers advances in large language models, logic-based approaches, machine learning methodologies, and standards development, whilst emphasising human-centred design principles for autonomous system-of-systems. Discover how to overcome the fundamental challenges in creating truly collaborative AI environments where both human and artificial intelligence contribute meaningfully to system performance and decision-making.