Intel has long recognized the importance of the ethical and human rights implications associated with the development of technology. This is especially true with the development of AI technology, for which we remain committed to evolving best methods, principles, and tools to ensure responsible practices in our product development and deployment.
Developed in collaboration with Georgia Tech supported by DARPA GARD.
Written in collaboration with Georgia Tech.
Open Federated Learning (OpenFL) is an easily learnable and flexible tool for data scientists.
The largest international federation of healthcare institutions.
Human-in-the-loop learning workshop at International Conference on Machine Learning (ICML 2021).
Exploring transparency and accountability in the open source community.
AAAI/ACM conference on Artificial Intelligence, Ethics and Society (AIES-2021).
Written in collaboration with NTU, Taiwan.
Search in conversational AI workshop (SCAI) at COLING 2022.
Ninth Workshop on Speech and Language Processing for Assistive Technologies (SLPAT-2022), ACL 2022.
Workshop on Data Science with Human-in-the-loop: Language Advances (DaSH-LA), NAACL 2021.
Transactions on Pattern Analysis and Machine Intelligence (2020).
How Do the Hearts of Deep Fakes Beat? Deep Fake Source Detection via Interpreting Residuals with Biological Signals
2020 IEEE International Joint Conference on Biometrics (IJCB).
ACM Symposium on Eye Tracking Research and Applications, ETRA 2021.
Tenth Women In Computer Vision Workshop (WiCV) at CVPR 2022.