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The Role of Open-Source Software in Artificial Intelligence

By Jim Spohrer

With this publication, we launch a new column for AI Magazine on the role of open-source software in artificial intelligence. As the column editor, I would like to extend my welcome and invite AI Magazine readers to send short articles for future columns, which may appear in the traditional print version of AI Magazine, or on the AI Magazine interactive site currently under development. This introductory column serves to highlight my interests in open-source software and to propose a few topics for future columns.

The Case Against Registered Reports

By Odd Erik Gundersen, Norwegian University of Science and Technology

Registered reports have been proposed as a way to move from eye-catching and surprising results and toward methodologically sound practices and interesting research questions. However, none of the top-twenty artificial intelligence journals support registered reports, and no traces of registered reports can be found in the field of artificial intelligence. Is this because they do not provide value for the type of research that is conducted in the field of artificial intelligence?

Betting on Bets

Chris Welty, Google Research, USA
Praveen Paritosh, Google Research
Kurt Bollacker, LongNow Foundation

The AI bookies have spent a lot of time and energy collecting scientific bets from AI researchers since the birth of this column three years ago. While we have met with universal approval of the idea of scientific betting we have likewise met with nearly universal silence in our acquisition of bets. We have collected only a very few in this column over the past two years. In our first column we published the “will voice interfaces become the standard” bet, as well as a set of 10 predictions from Eric Horvitz that we proposed as bets awaiting challengers. No challengers have emerged.

Engagement During Pandemic Teaching

By Michael Wollowski, Rose-Hulman Institute of Technology, USA

In this panel, AI faculty with experience teaching online and blended classes were asked to share their experiences teaching online classes. The panel was composed of Ashok Goel, Georgia Institute of Technology, Ansaf Salleb-Aouissi, Columbia University and Mehran Sahami, Stanford University. The panelists were asked to describe which tools and methods work well to help instructors engage and bond with students online. They were furthermore asked to share their insights into which components of a course can be done best online and which ones are best accomplished in person. The panel took place as part of the 2021 Symposium on Educational Advances of AI, which was collocated with AAAI-21. The panel was attended by about 55 people and it included a vigorous Q/A portion.

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.


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.


For our fourth AMA, we have Dr. David Leake, Professor of Computer Science in the Luddy School of Informatics, Computing and Engineering at Indiana University, where he served as Executive Associate Dean from 2012-2021. He received his PhD from Yale University in 1990. His research is in artificial intelligence and cognitive science, including contributions in case-based reasoning, explanation, intelligent information systems, intelligent user interfaces, and introspective learning. He has authored/edited over 200 publications with over 8,500 Google Scholar citations. He played a key role in developing the field of case-based reasoning and is a five-time winner of best paper awards at the International Conference on Case-Based Reasoning (ICCBR). He is Editor in Chief Emeritus of AI Magazine, the official magazine of the Association for the Advancement of Artificial Intelligence (AAAI), after 17 years as Editor in Chief. In 2014 he received the AAAI Distinguished Service Award. He is a Senior Member of AAAI.

Call for Nominations for the 2023 AAAI Award for Artificial Intelligence for the Benefit of Humanity! Award is accompanied by a $25,000 prize and travel expenses. Financial support for the award is provided by Squirrel AI.

The AAAI community is deeply saddened and mourns the loss of Professor Fahiem Bacchus, an AAAI fellow, who passed away September 22. Fahiem was a brilliant researcher and a kind person. Heartfelt condolences to his family, friends, and all who knew him. He will be greatly missed.

The AAAI/EAAI Outstanding Educator award is given to a person (or group) who has made major contributions to #AI education. It includes a $1,000 honorarium, 1 yr AAAI membership, & registration to the EAAI conference and AAAI conference.