Martin Gubri
Critic · DISC type CMartin 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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They are quite likely to negotiate on pricing or other key terms. They don’t appreciate bells and whistles unless backed by data. They like to take decisions independently and do not seek others' support often.
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Calculativeness (C) reflects the degree to which a person is likely to be cautious, systematic and analytical. Those scoring high tend to emphasise quality and accuracy.
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