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Introduction to Responsible AI: The CallMiner Research Lab Responsible AI Framework

Callminer

The CallMiner Research Lab Responsible AI Framework outlines definitions and concerns, as well as some of the driving questions, leading to deeper considerations about our tools, models, and datasets.

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Welcome to the CallMiner Research Lab blog: The cutting edge of innovation

Callminer

Welcome to the CallMiner Research Lab blog! We are excited to share what we are working on and what we are thinking about.

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The University as a Living Lab: Driving Research Value and Sustainability

Cisco - Contact Center

As the world faces complex challenges, universities have emerged as vital institutions for innovation, talent and knowledge creation. Beyond their traditional role in education, universities have… Read more on Cisco Blogs

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Reviews Completed on Your Phone Are More Emotional

Beyond Philosophy

Professor Melumad is an assistant professor of marketing at the Wharton School at the University of Pennsylvania and has worked a lot in a relatively new research area about people’s relationship with mobile phones. Professor Melumad had the same feelings going into the research. To me, this makes sense at an intuitive level.

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AI Is Just Opinions Written In Code

Beyond Philosophy

Turner founded TRAP LAB (Technology Race and Prejudice LAB) intending to expose the inherent biases about race and racism that have mixed into the foundations of marketing, market places, consumer technology, and market research. They have a weekly lab meeting that will resume in September, and he invites our audience to join.

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Technical basics series: The singular value decomposition (SVD) 101

Callminer

The CallMiner Research Lab team explores several SVD applications. Singular value decomposition (SVD) is important to data science, as it provides a ranking of features stored by a matrix.

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Technical basics series: Bayesian inference 101

Callminer

The CallMiner Research Lab breaks it down in this new blog. All statisticians use Bayes’s theorem, even frequentists. What makes you a Bayesian is in how you interpret it.

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