The workshop organizers invite paper submissions on the following (and related) topics: Finally, the workshop will welcome papers that describe the release of privacy-preserving benchmarks and data sets that can be used by the community to solve fundamental problems of interest, including in machine learning and optimization for health systems and urban networks, to mention but a few examples. Online Workshop, Feb 8 or 9, 2021. Accordingly, the main objective of this workshop is specifically to gather representatives of AI research and development with those of other stakeholder domains to create a community for sustaining valuable participatory design dialogue. There is a need to build dialog systems that can explain their reasoning and can stand up to ethical standards demanded in real-life settings. However, machine learning models face various threats. Papers must be formatted in AAAI two-column, camera-ready style. Workshops will be held virtually Monday and Tuesday, February 8-9, 202. The ensuing need for scalable, personalized learning systems has led to an unprecedented demand for understanding large-scale educational data. All submissions must be original. With Instructor Todd Bezilla M. Ed. AI for healthcare has emerged into a very active research area in … We welcome the submissions in the following two formats: The submissions should adhere to the AAAI paper guidelines available at https://aaai.org/Conferences/AAAI-21/aaai21call/. Among the questions that participants will discuss and seek to answer are: HAI will be a one-day workshop that will include presentations of accepted papers, a talk by an invited speaker and a panel discussion to discuss the above questions. As a consequence, traditional methods of integration and usage of knowledge graphs might need to be expanded when dealing with CSKGs. We invite participants to submit papers on the 9th of November, based on but not limited to, the following topics: RL in various formalisms: one-shot games, turn-based, and Markov games, partially-observable games, continuous games, cooperative games; deep RL in games; combining search and RL in games; inverse RL in games; foundations, theory, and game-theoretic algorithms for RL; opponent modeling; analyses of learning dynamics in games; evolutionary methods for RL in games; RL in games without the rules; Monte Carlo tree search, online learning in games. Short papers with a length between 2 and 4 pages can describe either a particular application, or focus on open challenges. This full-day workshop will have several prominent interdisciplinary invited speakers from the fields of linguistics, psychology, and marketing science to lead the presentation sessions. The proposed symposium builds upon our continued efforts (AAAI’20 workshop, IJCAI’20 tutorial, KDD’20 tutorial) in bringing the AI community members together for the above-mentioned themes. The audience of this workshop will be researchers and students from a wide array of disciplines including, but not limited to, statistics, computer science, economics, public policy, psychology, management, and decision science, who work at the intersection of causal inference, machine learning, and behavior science. Invited speakers, committee members, authors of the research paper, and the participants of the shared task are invited to attend. AAAI-21 Workshop on Reinforcement Learning in Games. Regular research papers may be no longer than 7 pages, where page 7 must contain only references, and no other text whatsoever. The current research in this area is focused on extending existing ML algorithms as well as network science measures to these complex structures. Such challenges are profound in applications in social attributed networks, natural language processing, inductive logic programming, and program synthesis and analysis. To push forward the research on acronym understanding in scientific text, we propose two shared tasks on acronym identification (i.e., recognizing acronyms and phrases in text) and disambiguation (i.e., finding the correct expansion for an ambiguous acronym). The 2021 edition of the workshop takes interaction in yet another new direction. The workshop will include a number of (possibly parallel) technical sessions, a virtual poster session where presenters can discuss their work, with the aim of further fostering collaborations, multiple invited speakers covering crucial challenges for the field of privacy-preserving AI applications, including policy and societal impacts, a number of tutorial talks, and will conclude with a panel discussion. The papers submitted to the workshop will be peer reviewed. Full papers following the AAAI paper submission guideline should be submitted. Work-in- progress papers, demos, and visionary papers are also welcome. ARTIFICIAL INTELLIGENCE More. A basic question worth examining is whether and how collaboration among creatives impact the affective characteristics of the content. We plan to release two annotated datasets (English and Hindi) for the shared task. How can we develop solid technical visions and new paradigms about AI Safety? AI Research), Dongmin Shin (Riiid! We will organize a one-day workshop, featuring high-profile keynote speakers, a selection of submissions from the workshop, and a panel discussion. AAAI early registration deadline: Jan 15, 2021. The second, day-long, session will be dedicated to the workshop technical content about privacy-preserving AI. The AAAI 2020 Press author kit with style files, macros, and guidelines for this format is linked below. Training data poisoning, adversarial learning, and adversarial attacks and defenses. One day workshop through online zoom meeting, the workshop will include invited speakers, presentations, panel and group discussions. The first session (half day) will be dedicated to privacy challenges, particularly those risen by the Covid-19 pandemic tracing and tracking policy programs. Machine learning technology has been improving with every passing day and has been extensively applied to nearly every corner of the society that offers substantial benefits to our daily lives. The workshop supplementary site URL will be available soon. In this workshop, we want to explore ways to bridge short-term with long-term issues, idealistic with pragmatic solutions, operational with policy issues, and industry with academia, to build, evaluate, deploy, operate and maintain AI-based systems that are demonstrably safe. What safety engineering considerations are required to develop safe human-machine interaction? We accept two types of submissions – full research paper no longer than 8 pages and short/poster paper with 2-4 pages. Questions regarding demos should be referred to ramonfpereira@gmail.com or mor.vered@unimelb.edu.au. Submission will be accepted via the Easychair submission website. Authors need to submit the full reviews and ratings obtained from AAAI), Dec 20, 2020: Notification of phase 2 papers due, Dec 30, 2020: Camera ready submission due of phase 2 accepted papers, Dec 10, 2020: Deadline for submitting the final results, Dec 12, 2020: Announcement of the results, Dec 30, 2020: System paper submission deadline, Methods of including CSKG knowledge in downstream tasks, Probing for knowledge needs in downstream tasks, Evaluation data/metrics relevant for CSKGs, Emphasis selection forwritten text in social media data or presentation slides, Font selection based on in put text or other design elements, NLP for color distributions recommendation, Text simplification or automatic text editing for representation improvement, Multi-modal content emotion and sentiment analysis, Metrics to assess the visual appeal of content, Machine learning approaches to rate the visual appeal of content, Related AI or AI-assisted approaches to improve the content layout. Submission site: https://easychair.org/conferences/?conf=rseml2021, Qiang Yang (WeBank and Hong Kong University of Science and Technology), Dawn Song (University of California, Berkeley), Song Han (Massachusetts Institute of Technology), Han Yu (Nanyang Technological University), Lixin Fan (WeBank), KamWoh Ng, main contact, (jinhewu@webank.com or kamwoh@gmail.com), Supplemental workshop site: http://federated-learning.org/rseml2021/. At the same time, there is an increasing interest in AI in moving beyond traditional supervised learning approaches towards learning causal models, which can support the identification of targeted behavioral interventions. Attendance is open to all. We welcome two types of submissions, regular papers (max. The goal is to finalize recommendations for AAAI 2021 and discuss how these should be evaluated. This one-day workshop aims to bring together both academic researchers and industrial practitioners from different backgrounds and perspectives to above challenges. This way, a good model or good hyperparameters can be pre-determined or learned model parameters can be transferred to the new dataset. The past editions of the workshop were huge successes attracting 100+ AI researchers to discuss a variety of topics. AAAI two-column format is often preferred, but not required, for workshop submissions. Requests to participate and (optional) paper submissions are to be emailed to workshop chair by November 9, 2020. This workshop intends to share visions of investigating new approaches and methods at the intersection of Graph Neural Networks and real-world applications. Investment currently is strong for numerous types of telehealth systems, many including AI components, and leading enterprises in this work are now recognizing the important need for participatory design. Categories . (Note that the 2021 author kit should not be used, as it has a permanent AAAI copyright slug, which is not appropriate for workshops. Content Authoring and Design refers to the interdisciplinary research area of Artificial Intelligence, Computational Linguistics, and Graphic Design. Computational models of such measurement may not recognize the context of affect generated in and through human interactions. Confirmed Keynote Speakers. AI Research), Youngduck Choi, (Yale University), Supplemental workshop site: https://sites.google.com/view/tipce-2021/home. Sponsored by the Association for the Advancement of Artificial Intelligence, The Thirty-Fifth AAAI Conference on Artificial IntelligenceFebruary 8-9, 2021A Virtual Conference. Graph neural networks on node-level, graph-level embedding, Joint learning of graph neural networks and graph structure, Learning representation on heterogeneous networks, knowledge graphs, Deep generative models for graph generation/semantic-preserving transformation, Graph2seq, graph2tree, and graph2graph models, Spatial and temporal graph prediction and generation, Learning and reasoning (machine reasoning, inductive logic programming, theory proving), Natural language processing (information extraction, semantic parsing, text generation), Bioinformatics (drug discovery, protein generation, protein structure prediction), Reinforcement learning (multi-agent learning, compositional imitation learning), Financial security (anti-money laundering), Cybersecurity (authentication graph, Internet of Things, malware propagation), Geographical network modeling and prediction (Transportation and mobility networks, social, Explainable/Interpretable Machine Learning, Fairness, Accountability and Transparency, Interactive Teaching Strategies and Explainability, Constraint satisfaction and programming (CP), (inductive) logic programming (LP and ILP), Learning with Multi-relational graphs (alignment, knowledge graph construction, completion, reasoning with knowledge graphs, etc. The topics of interest include, but not limited to: Papers will be presented in poster format and some will be selected for oral presentation. We have invited several distinguished speakers with their research interest spanning from the theoretical to experimental aspects of complex networks. We invite all the teams who participated in DSTC9 to submit their work to this workshop. Submission Site: OpenReview, https://easychair.org/cfp/TIPCE2021, Paul Kim, Chair (Stanford University), Neil Hefferman, Chair (Worcester Polytechnic Institute), Jineon Baek (University of Michigan), Hoonpyo Jeon (Stanford University), Byungsoo Kim (Riiid! Submission site for papers and system reports: https://easychair.org/conferences/?conf=sduaaai21, Thien Huu Nguyen (University of Oregon, thie@cs.uoregon.edu), Walter Chang (Adobe Research, wachang@adobe.com), Amir Pouran Ben Veyseh (University of Oregon, apouranb@uoregon.edu), Leo Anthony Celi (Harvard University and MIT, lceli@bidmc.harvard.edu), Franck Dernoncourt (Adobe Research, franck.dernoncourt@adobe.com), Supplemental workshop site: https://sites.google.com/view/sdu-aaai21/home. However, theoreticians and practitioners of AI and Safety are confronted with different levels of safety, different ethical standards and values, and different degrees of liability, that force them to examine a multitude of trade-offs and alternative solutions. The full-day workshop will start with an opening remark followed by long research paper presentations in the morning. Papers must be between 4-8 pages in the AAAI submission format, with the eighth page containing only references. Bioterrorism, Participatory Surveillance, Syndromic Surveillance, Population Screening), Explainable AI (XAI) in Health and Medical domain, Deploying Educational Systems in Real World, Pre-deployment Considerations of Educational Systems, Behavioral Testing of Intelligent Tutoring Systems, User Interface for Interactive Educational Systems, Knowledge Tracing (Response Prediction, Response Correctness Prediction), Application of Deep Learning in Learning Sciences, Role of Artificial Intelligence in Remote Learning, Invited talks, including Daniela Rus, MIT, Top-ranking Kaggle competition participants (5 ~ 20), Authors of shared task technical papers (5 ~ 20). AAAI 2021 Workshop on AI Education. DSTC9 workshop @ AAAI: Feb 8-9, 2021. Games provide an abstract and formal model of environments in which multiple agents interact: each player has a well-defined goal and rules to describe the effects of interactions among the players. Topics of interest include but are not limited to: Acronyms, i.e., short forms of long phrases, are common in scientific writing. The workshop will consist of contributed talks, contributed posters, and invited talks on a wide variety of the methods and applications. The goal of the workshop is to gather insights from Artificial Intelligence, Computational Linguistics, Graphic Design and Creativity, Marketing Science, E-learning, as well as Social Media Analysis for content presentation enhancement, specifically, user-generated content, text in online marketing and education. This is especially the case for non- traditional online resources such as social networks, blogs, news feed, twitter posts, and online communities with the sheer size and ever-increasing growth and change rate of their data. The goal of this workshop is to bring together the causal inference, artificial intelligence, and behavior science communities, gathering insights from each of these fields to facilitate collaboration and adaptation of theoretical and domain-specific knowledge amongst them. This workshop will bring together researchers from NLP, computer vision, reasoning and action/robotics to explore end-to-end HAI. Thamar Solorio (University of Houston,tsolorio@uh.edu), Franck Dernoncourt (Adobe Research, franck.dernoncourt@adobe.com), Amirreza Shirani (University of Houston,ashirani@uh.edu), Nedim Lipka (Adobe Research, lipka@adobe.com), Paul Asente (Adobe Research, asente@adobe.com), Jose Echevarria (Adobe Research, echevarr@adobe.com), Supplemental workshop site: https://ritual.uh.edu/aaai-21-workshop-on-content-authoring-and-design/. SDU is expected to host 50-60 attendees. We welcome submission of demos submitted to the demo session of the main conference. 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