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Belén Saldías is an Assistant Teaching Professor at the University of Washington's Information School. Her research focuses on responsible, human-centered design and evaluation of machine learning systems, with an emphasis on human-AI collaboration. She earned her Ph.D. from the Massachusetts Institute of Technology, where her work explored how language models can support decentralized governance and increase user agency online. Saldías is committed to making the internet safer and empowering marginalized communities through the integration of machine learning and natural language processing with social science insights. In her role as an educator, she strives to address pressing social issues such as Generative AI Ethics and Data Justice, while also covering technical topics like Databases and Information Visualization. Saldías believes that teaching is a relational practice that emphasizes self-awareness and practical adaptability. She has previously held positions at Harvard University, Google Research, and Pontificia Universidad Católica de Chile, among other AI-focused companies and startups.
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