Interdependent Human-Machine Teams

<ol><li>Introduction to &ldquo;autonomous human-machine teams&rdquo;</li><li>Toward a new foundation for AI</li><li>Human-machine teaming using large language models</li><li>Development of a team cohesion scale for use in human-autonomy team research</li><li>Enabling human-machine symbiosis: Automated establishment of common ground and estimates of the topological structures of Commander&rsquo;s Intent</li><li>Measuring consequential changes in human-autonomous system interactions</li><li>User affordances to engineer open-world enterprise dynamics</li><li>Truth-O-Meter: Collaborating with LLM in fighting its hallucinations</li><li>Natural versus artificial intelligence: AI insights from the cognitive sciences</li><li>Intention when humans team with AI</li><li>Autonomy: A family resemblance concept? An exploration of human-robot teams</li><li>A theoretical approach to management of limited attentional resources to support the m:N operation in advanced air mobility ecosystem</li><li>Predicting workload of dispatchers supervising autonomous systems</li><li>The generative AI weapon of mass destruction: Evolving disinformation threats, vulnerabilities, and mitigation frameworks</li><li>Ethics for artificial agents</li><li>Self-visualization for the human-machine mind-body problem</li><li>Knowledge, consciousness, and debate: advancing the science of autonomous human-machine teams</li></ol>