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Showing 1 to 4 of 4 for “"AI Assurance"”.

  1. Evaluating Trust in AI-Assisted Bridge Inspection through VR

    The integration of Artificial Intelligence (AI) in collaborative tasks has gained momentum, with particular implications for critical infrastructure maintenance. This study examines the assurance goals of AI—security, explainability, and trustworthiness—within Virtual Reality (VR) environments for …

    vt Repository record for Evaluating Trust in AI-Assisted Bridge Inspection through VR (opens in a new tab)

  2. Human-AI Handshaking: Supporting Extreme Sensemaking through Trustworthy Shared Perception

    … operations. These contexts are marked by uncertainty, fragmented information, and time-critical decisions that stretch human cognitive and physical limits. Artificial intelligence (AI) offers potential assistance, but distributed AI systems that rely on object detection, such as drone swarms, …

    vt Repository record for Human-AI Handshaking: Supporting Extreme Sensemaking through Trustworthy Shared Perception (opens in a new tab)

  3. Bridging Machine Learning and Experimental Design for Enhanced Data Analysis and Optimization

    … Specifically within Artificial Intelligence (AI), the challenge lies in assessing the impacts of model structures and training strategies on task performances with a limited number of trials. This shortfall underscores the necessity for the development of novel approaches. On the other side, …

    vt Repository record for Bridging Machine Learning and Experimental Design for Enhanced Data Analysis and Optimization (opens in a new tab)

  4. AI Methods for Anomaly Detection in Cyber-Physical Systems: With Application to Water and Agriculture

    … Systems (CPSs) play a critical role in domains including water distribution, agricultural production, and energy management. Modern infrastructures rely on a network of cyber-physical components—mechanical actuators, electrical sensors, and internet-connected devices—to supervise and manage …

    vt Repository record for AI Methods for Anomaly Detection in Cyber-Physical Systems: With Application to Water and Agriculture (opens in a new tab)