Raymond Uzwyshyn is the Acting AUL for Research and Technology at the University of California, Riverside, where he spearheads AI, data science, and digital scholarship initiatives. With a Ph. D. from New York University, he focuses on integrating advanced technology into academic library and research environments to drive innovation and support faculty and student research.
His personal interests lie at the intersection of technology, media, and the humanities, demonstrated by early involvement in digital media groups at NYU. He maintains a strong interest in the trajectory of major technology firms like IBM and Microsoft, aligning with his professional focus on technological advancement in research and education.
Uniquely, he researches the application of psychoanalysis and film semiotics in deep learning AI models to improve safety for future Artificial General and Superintelligence.
Read the full overview →They tend to be clear about their needs and limitations and are unlikely to promise too much. They do not like taking risks at all and go for proven options in the end. They are heavily focused on quality and prefer doing things the right way, even if it takes time.
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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