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Debiasing AI systems: A Conversation with Robyn Speer, Luminoso’s Head of Science

One of the most-discussed topics in AI this summer has been the growing realization that AI-based systems absorb human biases and prejudices from training data. While this has only recently become a hot news topic, AI organizations (including Luminoso) have been focused on this issue for a while. Denise Christie sat down with Luminoso’s chief … Read more

When “wicked” means “good”

Pop quiz! The definition of the word “wicked” is: If you answered “4,” you just earned yourself a virtual high five. Congratulations! For the rest of us, this is a great chance to think about how regional dialects and even cultural differences can affect how we understand and analyze text-based feedback. (It’s also an excellent opportunity … Read more

Conducting analyses in a changing science landscape

This week’s blog post was written by Cassie Johnson, Vice President of Customer Success and Services at Luminoso. My colleague Dmitry Grenader recently wrote an article about AI and machine learning and our relationship with it.  Specifically, he ended his post exhorting his readers to: Work with the machine. Seriously, tell your colleagues to treat it … Read more

Catherine Havasi featured in Inc.

One of the key challenges facing customer-centric companies today is how to make sense of the ever-increasing stream of feedback and other consumer data. For many, the solution is to incorporate natural language understanding (NLU) into their processes – but this technology is new and unfamiliar for many. This article by Inc. investigates how companies … Read more