Co-authors: Stuart Ambler, Ahsan Chudhary, Mark Dietz, Sahin Cem Geyik, Krishnaram Kenthapadi, Ian Koeppe, Varun Mithal, Guillaume Saint-Jacques, Amir Sepehri, Thanh Tran, and Sriram Vasudevan Editor’s note: A shorter version of this article was originally posted by Krishnaram Kenthapadi on LinkedIn. Introduction How do we take fairness and transparency into...
trust engineering Articles
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At LinkedIn, we are entrusted with protecting the privacy and data of our members. Storing members’ choices on how they intend their data to be used is vital to building and maintaining member trust, as well as ensuring compliance with legal and regulatory requirements. It is also essential that we respect members’ preferences for how they wish to interact with...
- Topics:
- infrastructure,
- scale,
- trust engineering
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As members explore the many products of LinkedIn, including the feed, homepage, Learning, Recruiter, and Sales Navigator, to name a few, they often experience new exciting features, which, from time to time, may lead to questions around use. To help our members and deliver the assistance they need, we use deep learning-powered Natural Language Processing (NLP)...
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Co-authors: Krishnaram Kenthapadi, Thanh Tran, Mark Dietz, and Ian Koeppe Preserving privacy of users is a key requirement of...
- Topics:
- trust engineering,
- Analytics,
- research,
- Data
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LinkedIn members entrust us with their personal data and we are committed to working hard every day to maintain that trust within a...
- Topics:
- scale,
- Security,
- trust engineering,
- Data
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LinkedIn’s Help Center boasts a personalized experience aimed at getting our members the help they need, finding the answers to their...
- Topics:
- trust engineering,
- Search,
- Product Design,
- Ember