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Highlights from the current issue:
Recommender Systems — Pushing Frontiers
Open challenges and research paths for next-gen recommender systems
Human-AI Partnership in K-12 Education
Designing for human-AI partnership in a challenging real-world context
AI Ethics Redefined
Emerging concerns about AI ethics in the Modern Age
“A Survey of Knowledge-based Sequential Decision Making under Uncertainty”
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AI-Alerts @ AITopics.org
Reports of the Association for the Advancement of Artificial Intelligence’s 17th Conference on Artificial Intelligence and Interactive Digital Entertainment
Michael Buro, Quinn Kybartas, and Santiago Ontañón
The Association for the Advancement of Artificial Intelligence’s 2021 International Conference on Artificial Intelligence and Interactive Digital Entertainment was held October 11-15, 2021. There were three workshops in the program: Experimental AI in Games, Programming Languages in Entertainment, and Strategy Games. This report contains summaries of some, but not all symposia.
By Ian Beaver
Research interest in Conversational AI has experienced a massive growth over the last few years and several recent advancements have enabled systems to produce rich and varied turns in conversations similar to humans. However, this apparent creativity is also creating a real challenge in the objective evaluation of such systems as authors are becoming reliant on crowd worker opinions as the primary measurement of success and, so far, few papers are reporting all that is necessary for others to compare against in their own crowd experiments. This challenge is not unique to ConvAI, but demonstrates as AI systems mature in more “human” tasks that involve creativity and variation, evaluation strategies need to mature with them.
By Ashok Goel
Concerns about ethics of AI are older than AI itself. The phrase “artificial intelligence” was first used by McCarthy and colleagues in 1955 (McCarthy et al. 1955). However, in 1920 Capek already had published his science fiction play in which robots suffering abuse rebelled against human tyranny (Capek 1920), and by 1942, Asimov had proposed his famous three “laws of robotics” about robots not harming humans, not harming other robots, and not harming themselves (Asimov 1942). During much of the last century, when AI was mostly confined to research laboratories, concerns about ethics of AI were mostly limited to futurist writers of fiction and fantasy. In this century, as AI has begun to penetrate almost all aspects of life, worries about AI ethics have started permeating mainstream media. In this column, I briefly examine three broad classes of ethical concerns about AI, and then highlight another concern that has not yet received as much attention.
AAAI is pleased to announce the winners of the recent AAAI Special Awards at the Intel International Science and Engineering Fair, held virtually May 16-21, 2021. T
By Ashok Goel; School of Interactive Computing, Georgia Institute of Technology
Like much of the AI community, I have watched the ongoing discussion between symbolic AI and connectionist AI with fascination. While symbolic AI posits the use of knowledge in reasoning and learning as critical to producing intelligent behavior, connectionist AI postulates that learning of associations from data (with little or no prior knowledge) is crucial for understanding behavior. The recent debate between the two AI paradigms has been prompted by advances in connectionist AI since the turn of the century that have significant applications.
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.