The standardized tests administered by the states at the end of the school year typically have an essay-writing component, requiring the hiring of humans to grade them one by one. This spring, the William and Flora Hewlett Foundation sponsored a competition to see how well algorithms submitted by professional data scientists and amateur statistics wizards could predict the scores assigned by human graders. The winners were announced last month — and the predictive algorithms were eerily accurate. Read the full story at The New York Times
About Shelly Palmer
Shelly Palmer is the Professor of Advanced Media in Residence at Syracuse University’s S.I. Newhouse School of Public Communications and CEO of The Palmer Group, a consulting practice that helps Fortune 500 companies with AI strategy, implementation and governance, as well as technology, media and marketing. Named one of LinkedIn’s Top Voices in Technology, he is a bestselling author, covers tech and business for Fox 5’s Good Day New York, is a regular commentator on CNN, and writes the popular daily business blog Think About This. Follow @shellypalmer or visit shellypalmer.com.