Human-Centered Autonomy: A Q&A with Madison Clark-Turner
A conversation highlighting how human-centered autonomy shapes trust, usability, and system performance as robotics move beyond the lab into real-world use. Madison Clark-Turner, PhD, is a deep learning and robotics research scientist in Charles River Analytics’ Sensing, Perception, and Applied Robotics division. His work focuses on how autonomous systems perceive, communicate with, and learn from […]
Earning critical trust in Defense AI: A Q&A with Kenneth Lu
A conversation on predictive maintenance, cybersecurity, and decision support in high-stakes defense environments, exploring how explainability, adaptability, and human-centered design underpin the creation of trustworthy AI. In defense environments where decisions carry real operational risk, AI must do more than make predictions—it has to earn trust. Kenneth Lu, Scientist at Charles River Analytics, has spent […]