Upcoming Events

Undergraduate and graduate student members of the Alliance for Identity-Inclusive Computing Education (AiiCE) student advisory board join us for this panel, where they share their perspectives on the state of identity in computing departments, including strengths, challenges, and strategies to create more equitable and inclusive environments for students from diverse identities.

This event will be held live via Zoom and is open to all members of the Duke community (faculty, staff, and students).

While the trend in machine learning has tended towards building more complicated (black box) models, such models are not as useful for high stakes decisions - black box models have led to mistakes in bail and parole decisions in criminal justice, flawed models in healthcare, and inexplicable loan decisions in finance. Simpler, interpretable models would be better. Thus, we consider questions that diametrically oppose the trend in the field: for which types of datasets would we expect to get simpler models at the same level of accuracy as black box models?

Vectorized representation of textual data has revolutionized natural language processing, first with methods like Word2Vec and GloVe and then with contextual variants like BERT and RoBERTa. Similar representations are useful for learning on other structured data types like images, trajectories, business transactions, and many more. However, as these are trained on enormous quantities of real-world data -- in the case of language, large amounts of text from the internet, they encode some of the biases from that text.

TBA

Please join us for the Computer Science Department's holiday party and annual meeting. This will be the first holiday celebration held since 2019! We hope you will join us, meet new people in the Department, and reacquaint yourselves with friends and colleagues.