Latest from AI Magazine
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Fall 2024
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Recent Posts
The Reproducibility Crisis Is Real
by Odd Erik Gundersen
The reproducibility crisis is real, and it is not only psychology that has to deal with it. All sciences are affected. The field of AI is not an exception.
Patrick Henry Winston: A Recollection
by Kenneth D. Forbus, Northwestern University
I first met Patrick when I started working at the MIT AI Lab in Fall of1973. I was a freshman, doing a project with David Marr that was a step on the path to the Primal Sketch. It was like a dream come true to work there. At the time, Patrick had just taken over as director, despite being an assistant professor. This was an unusual burden, but he handled it well, ensuring that it ran more smoothly while maintaining an exciting intellectual environment.
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.
AAAI 2019 Fall Symposium Report on Artificial Intelligence for Human-Robot Interaction (AI-HRI): Service Robots in Human Environments
by Justin W. Hart, Richard G. Freedman, Nick DePalma, Luca Iocchi, Matteo Leonetti, Emmanuel Senft, Elin A. Topp, Ross Mead
The AAAI symposium on “Artificial Intelligence for Human-Robot Interaction (AI-HRI): Service Robots in Human Environments” was held at the Westin Arlington Gateway, Arlington, Virginia from November 7- 9, 2019. This is the sixth AI-HRI Fall Symposium, bringing together researchers whose work spans areas contributing to the development of human-interactive autonomous robots. In the past few years, technologies related to or deployed on service robots has become a popular research topic in this area. This year’s theme invited researchers to look at problems and frame discussion through this lens.
Ask-Me-Anything
AI experts answer your questions! See all of our AMAs. Your questions will be submitted to these guests and a video will be recorded with their answers and posted on the Interactive AI Magazine and in the weekly AI Alert.
Ask your questions to Dr. Myers here!
For our fifth AMA, we have Karen Myers, Ph.D. Dr. Myers is the Lab Director for SRI International’s Artificial Intelligence Center.
Dr. Myers’ research focuses on intelligent systems that facilitate man-machine collaboration. Her expertise includes autonomy, multi-agent systems, automated planning and scheduling, and intelligent assistants. She has led the development of several AI technologies that have been successfully transitioned into operational use in areas that span collaboration tools, task management, and end-user automation.
Dr. Myers has served on the Executive Council for the Association for the Advancement of Artificial Intelligence (AAAI) and the International Conference on Automated Planning and Scheduling (ICAPS). She was on the editorial boards for Artificial Intelligence and the Journal for AI Research and the advisory board for ACM Transactions on Intelligent Systems and Technology. She is the conference chair for the Innovative Applications of AI conference for 2019. She was elected SRI Fellow in 2016.
Myers has a Ph.D. in computer science from Stanford University, a B.Sc. in mathematics and computer science from the University of Toronto, and a degree in piano performance from the Royal Conservatory of Music.