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

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.

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.

Squirrel AI Award for Artificial Intelligence for the Benefit of Humanity — An Interview with Squirrel AI’s Richard Tong

By Ashok Goel & Ida Camacho

The Association for the Advancement of Artificial Intelligence (AAAI) and Squirrel AI Learning announced the establishment of a new $1M annual award for societal benefits of AI. The award will be sponsored by Squirrel AI Learning as part of its mission to promote the use of artificial intelligence with lasting positive effects for society. The new Squirrel AI Award for Artificial Intelligence for the Benefit of Humanity was announced jointly by Derek Haoyang Li, Founder and Chairman of Squirrel AI Learning, and Yolanda Gil, President of AAAI, at the 2019 conference for AI for adaptive Education (AIAED) in Beijing.  

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Recent Posts

Report on the First and Second ICAPS Workshops on Hierarchical Planning

By Pascal Bercher, Daniel Holler, Gregor Behnke, Susanne Biundo, Vikas Shivashankar, Ron Alford

Hierarchical planning has attracted renewed interest in the last couple of years. As a consequence, the time was right to establish a workshop devoted entirely to hierarchical planning – an insight shared by many supporters. In this paper we report on the first ICAPS workshop on Hierarchical Planning held in Delft, The Netherlands, in 2018 as well as on the second workshop held in Berkeley, CA, USA, in 2019.

Remembering Nils Nilsson

By Karen Myers

“Hello! This is Nils Nilsson calling!!” Or so the booming voice on the other end of the line claimed, as I skeptically held the phone in my hand on a Sunday afternoon mid-way through my final semester as an undergraduate in Toronto. I had been in my dorm room preparing for a mid-term in my Introduction to Artificial Intelligence course, in fact reading through the textbook which Nils himself had authored.

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 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…

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