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Short Paper Competition
About the Competition
The short paper competition, part of the PhD track of the BAI Winter School at Caltech, invites PhD students specializing in Artificial Intelligence to analyze current developments in the field of contextual AI through a research-backed paper. This competition provides an opportunity for students to address a specific challenge within the industry in exploring techniques for adapting AI models using contextual data. All of the submissions will benefit from the discussion and input from their peers, as well as suggestions from the participating faculty.
Sponsoring this competition is Dr Lee Schlenker, professor of business analytics and the principal of the Business Analytics Institute; “Our goal here is to encourage participating PhD participants to analyze and apply the lessons of contextual AI, which we hope will foster a deeper engagement with the subject and stimulate interest in pursuing advanced research and applications in this area.”
The paper topics will be presented and discussed in the track’s seminars and workshops. The submitted papers will be reviewed by a panel comprising faculty of the BAI Winter School at Caltech, as well as faculty from our host university. Judging criteria will include the quality of analysis, presentation, and originality.
Rules for Submission
The contest will run from February 3 to February 12th, 2025. The submission rules are as follows:
● Each participant in the PhD track may only submit one paper.
● Abstracts of the Paper will be submitted on the first day of class.
● Summitted papers must be between 600 to 1,500 words.
● Sources must be properly cited using APA style at the end of the paper (references do not count toward the word limit).
● Poster and panel discussions organized during the Winter School will ensure their work is their own.
● Papers must be submitted in Microsoft Word or Google Docs form to ai.review@baieurope.com with the following subject line: Competition Division [Your Division] - [Your Name] [Article Title]
● Submissions are due by Feb. 09, 2025 at 11:59 p.m., PST.
We look forward to your innovative contributions and the insightful discussions they will inspire!
Themes
Suggested paper topics include, but are not limited to, could address the use of contextual AI strategies to address the following challenges:
● Collaborative Intelligence : human-computer interaction, metadata schemas and ontologies, knowledge graphs, Collaborative Decision-Making (CDM): Decision engineering, CDM application areas, evaluation frameworks
● Explainable AI (XAI): model introspection, human-like explanations, fairness and accountability, HITL
● Grounding Generative AI: multimodal generation, conditional generation, controllable generation
● Reinforcement learning: inverse reinforcement learning, multi-agent RL, continuous learning and adaptation, sample efficiency and safety
● Natural Language Processing (NLP): dialogue systems, multilingual NLP, transfer learning
Potential reference papers
Afroogh, Saleh. (2021). A Contextualist Decision Theory. arXiv: General Economics
Brézillon, Patrick. (1999). Context in Artificial Intelligence: I. A Survey of the Literature.. Computers and Artificial Intelligence. 18.
Denning, Peter J. and Arquilla, John. (2022). The context problem in artificial intelligence. Communications of The ACM, 65(12):18-21. doi: 10.1145/3567605
Lawless, W.F. & Mittu, Ranjeev & Sofge, Donald. (2018). Computational Context: The Value, Theory and Application of Context with AI. 10.1201/9780429453151.
Diana Valenzo., Alejandra Ciria., Guido Schillaci., Bruno Lara. (2022). Grounding Context in Embodied Cognitive Robotics. Frontiers in Neurorobotics, 16 doi: 10.3389/fnbot.2022.84310
Pichler, Mario & Bodenhofer, Ulrich & Schwinger, W.. (2004). Context-awareness and artificial intelligence. ÖGAI Journal. 23. 4-.
Serafini, Luciano & Bouquet, Paolo. (2004). Comparing formal theories of context in AI. Artificial Intelligence. 155. 41-67. 10.1016/j.artint.2003.11.001.
Verma, Tejaswani & Lingenfelder, Christoph & Klakow, Dietrich. (2020). Defining Explanation in an AI Context. 314-322. 10.18653/v1/2020.blackboxnlp-1.29.
Prizes
Three prizes will be awarded:
● First place wins $400
● Second place wins $200
● Third place wins $100
