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systems and its impact on human decision-making, trust, and regulatory design. The rapid evolution of AI, from generative models that produce text and recommendations to agentic AI systems that autonomously
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based on matched-filter statistics. Detecting the unknown relies on the development of complex algorithms at the forefront of statistics, machine learning, and data science. This multi-disciplinary
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achieve what neither a human being nor a machine can achieve on their own. The aim of this research is to develop cutting-edge Human-in-the-Loop Machine Learning algorithms that are able to avoid bias
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