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2 Olga Russakovsky* et al. The publically released dataset contains a set of manually annotated training images. A set of test im-ages is also released, with the manual annotations with-held.2 Participants train their algorithms using the train-ing images and then automatically annotate the test images. These predicted annotations are submitted to
Dr. Olga Russakovsky is an Associate Professor in the Computer Science Department and the director of the Princeton Visual AI lab. Her research is in computer vision, closely integrated with machine learning and human-computer interaction. She is a co-founder and board member of the AI4ALL foundation, dedicated to increasing diversity and inclus...
Olga Russakovsky Position. Assistant Professor of Computer Science. Office Phone. 609-258-8118. Email [email protected] Office. 408 Computer Science Building. Footer.
Olga Russakovsky. Assistant Professor of Computer Science. 609-258-8118.
6 de dez. de 2021 · In this work, we introduce HIVE (Human Interpretability of Visual Explanations), a novel human evaluation framework that assesses the utility of explanations to human users in AI-assisted decision making scenarios, and enables falsifiable hypothesis testing, cross-method comparison, and human-centered evaluation of visual interpretability methods.
19 de nov. de 2019 · Olga Russakovsky. I believe there are three root causes of bias in artificial intelligence systems. The first one is bias in the data. People are starting to research methods to spot and mitigate ...
5 de ago. de 2020 · “The Abie Award Selection Committee commended Olga for developing AI as a tool for social good, both through her individual research addressing algorithmic bias in AI and the co-founding of AI4ALL to help develop and support a diverse future generation of AI technologists,” noted the online announcement from AnitaB.org, which recognized Russakovsky.
