The online interactive magazine of the Association for the Advancement of Artificial Intelligence

AAAI-21 New Faculty Highlights: Call for Participation

This year, AAAI is launching a new invited speaker program highlighting AI researchers who have just begun careers as new faculty members or the equivalent in industry. Applications will be adjudicated by a committee consisting of the AAAI-21 chairs and a diverse group of AAAI Fellows.

AAAI Announces 2021 AAAI Squirrel AI Award for AI for the Benefit of Humanity

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.  

Adaptive Learning Technologies

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.

Will Machine Learning Outgrow Human Labeling?

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.

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Recent Posts

Remembering Jaime Carbonell

By Yolanda Gil

Joining the incoming PhD class at Carnegie Mellon in the late 1980s, I was lucky to have incredible opportunities for faculty advisors and mentors in AI. Jaime Carbonell was among the more junior faculty, continuing the research that he started in his PhD combining natural language, planning, and machine learning.

AAAI-21 New Faculty Highlights: Call for Participation

This year, AAAI is launching a new invited speaker program highlighting AI researchers who have just begun careers as new faculty members or the equivalent in industry. Applications will be adjudicated by a committee consisting of the AAAI-21 chairs and a diverse group of AAAI Fellows.

To the AI Community

Letter from the Editor

By Ashok Goel

We are delighted to bring the brand new Interactive AI Magazine to you, a digital and expanded version of AI Magazine.

COVID-19 Update: A Special Message to the AI Community from AAAI

AAAI would like to wish all of our members, affiliated volunteers, and the greater international AI community all the best during this most challenging time. Read more on AAAI.org..

AAAI Statement Condemning Racism and Calling to Action

As a scientific society, AAAI is against the violence against Black people and the systemic racism that has gone unaddressed for too long. Read more on AAAI.org…