Martin Gubri is a Research Lead at Parameter Lab, specializing in Trustworthy AI. Holding a PhD in Machine Learning from the University of Luxembourg, his research focuses on auditing the risks of black-box AI systems to enhance their safety, transparency, and accountability, particularly in Large Language Models.
He is deeply committed to digital rights and open-source principles, serving as a Board Member for Framasoft, a French non-profit that promotes digital commons. This long-standing involvement reflects a core value of leveraging technology for public good, bridging his professional expertise with community advocacy.
Unique fact: As a Ford–Mozilla Technology Exchange Fellow, he conducted studies on technologies that could potentially endanger human rights.
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