This AI figured out who should sit on the Iron Throne (hint: it’s not Bran)

Millions of people tuned into HBO to learn who would get the most coveted job in Westeros, with many disappointed with the final decision.  This invites a challenge to all us fans: Can we do better?  Well here at Cangrade we’ve built an AI with the sole purpose of matching people to jobs, so we figured we’d give it shot! […]

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Scene from the Westeros Human Resources Department

“Thanks for coming everyone. We’ve had some more . . . unexpected turnover in senior management, and need to consider some new candidates to sit the Iron Throne. You know what we say around here, chaos is a ladder.” Our first candidate is Cersai Lannister. She has been filling the role on an interim basis, and is very keen to […]

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Artificial Intelligence will Revolutionize Talent Management — Are you ready?

Where did Artificial Intelligence come from? As modern as it may seem, the term “Artificial Intelligence” (AI) was coined by a group of researchers back in 1956. Its early iterations had nothing to do with killer robots or surrogate romantic partners. Instead, they used the term “Artificial Intelligence” as a catch-all phrase for recent advancements in computing theory that had […]

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The Origin and Future of Psychometrics

Psychometrics is a rigorous and long-standing field of study that attempts to measure personality and aptitude. Lately, however, the most accessible prototypes are Buzzfeed quizzes that tell you what Disney Princess you are – needless to say, its reputation in popular media has faltered. Despite this bad rep in the pop psych consciousness (i.e. Cambridge Analytica), psychometrics has wide-reaching implications […]

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Race, Responsibility & Hiring Algorithms

Frankenstein’s monster or Dr. Frankenstein? Algorithms provide a cloak of objectivity – but that doesn’t make them infallible. Just like humans, algorithms may rely on stereotypes that reinforce discriminatory hiring practices. Why is this? Because that’s what they’re designed to do. The backbone of many of these potentially discriminatory algorithms is something data-scientists call “satisficing,”. Satisficing is a decision-making strategy […]

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