By Yolanda Gil

AAAI recently announced the new $1M AAAI Squirrel AI Award for AI for the Benefit of Humanity. The award recognizes positive impacts of AI to protect, enhance, and improve human life in meaningful ways with long-lived effects.  

By Nicola Capuano & Santi Caballe

In his annual survey, the learning technology expert Donald Taylor asks more than 2,000 industry experts from different countries to estimate the most popular topics in workplace learning1. Since 2017, adaptive learning has always been at the top of this ranking, barely overtaken by learning analytics only in 2020. From the higher education perspective, the EDUCAUSE Horizon Report 20182 included adaptive learning among the six most impactful educational technologies in the five-year horizon for higher education. This is confirmed by a recent survey3 where many chief academic officers consider adaptive learning as one of the most promising initiatives for improving the quality of student learning.

by Mike Schaekermann, Christopher M. Homan, Lora Aroyo, Praveen Paritosh, Kurt Bollacker, Chris Welty

Some machine learning (ML) rhetoric seems to imply an assumption or expectation that, at some point, machines will outgrow the need for human labeled data. Today’s reliance on such labeling is a sort of dirty little secret of AI, and some view it as a necessary means to a larger end. This bet is an attempt to formalize that attitude into a concrete question, whose answer can be measured over time.