The Tech Policy Lab is committed to advancing artificial intelligence and robotics in the public interest through research, analysis, and education and outreach.
New Research: Data Statements
Experts in information science and computational linguistics propose data statements as a design solution and professional practice for natural language processing technologists to help mitigate issues related to exclusion and bias in Data Statements for NLP: Towards Mitigating System Bias and Enabling Better Science. Read the full paper here. This paper was published in the Transactions of the Association for Computational Linguistics.
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New Research: Adversarial Machine Learning
Last fall, a team of researchers with the Lab’s Ivan Evtimov, Earlence Fernandes, and Co-Director Yoshi Kohno shared research on ArXiv showing that malicious alterations to real world objects could cause devices to “misread” the image. Now, the team of researchers presented two papers updating this research – one at Computer Vision and Pattern Recognition (CVPR) 2018 and another at the 12th USENIX Workshop on Offensive Technologies (WOOT) 2018.
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