Current RPA systems are mostly rule-based. At the streaming certification workshop you will have a AAAI/ISMA faculty trainer who has a Master’s Degree, Ph.D. or MD as you would at a university. Recent years have witnessed growing efforts from AI research community devoted to advancing our education. International Conference on Autonomous Agents and Multi-Agent Systems 2020. As the market has grown so has the amount of data that is collected. a short position paper (AAAI style, up to 2 pages excluding references). As a stepping stone towards realizing this big picture view on AI, we are organizing the Ninth International Workshop on Statistical Relational AI at the 34th AAAI Conference on Artificial Intelligence (AAAI) in New York, on February 7th 2020. The extraction, representation, and sharing of health data, patient preference elicitation, personalization of “generic” therapy plans, adaptation to care environments and available health expertise, and making medical information accessible to patients are some of the relevant problems in need of AI-based solutions. There is ever increasing interest and need for innovation in human-technology-interaction as addressed in the context of companion technology. Shortcomings of existing evaluation approaches, datasets / benchmarks? Attendance is open to all. However, ML systems may be non-deterministic; they may re-use high-quality implementations of ML algorithms; and, the semantics of models they produce may be incomprehensible. In addition, any other general technical paper on dialog technologies is also welcome. Papers must between 4-8 pages in the AAAI submission format, with the eighth page containing only references. Characteristics of ‘good’ dataset / benchmark? Manuscripts must be submitted as PDF files via EasyChair online submission system. Historical work on recommender systems focused on interactive and conversational aspects as evidenced by the large literature on critiquing-based interaction dating back to the 1990’s. Papers must be in trouble-free, high-resolution PDF format, formatted for US Letter (8.5″ x 11″) paper, using Type 1 or TrueType fonts. Additionally, it will welcome algorithms and frameworks to release privacy-preserving benchmarks and datasets. All submissions should be done electronically through EasyChair. Slides are also permitted in lieu of video, but greater weight will be given to submissions accompanied by videos. Accepted papers will not be archival, and we explicitly allow papers that are concurrently submitted to, currently under review at, or recently accepted in other conferences / venues. The challenge problem (http://aics.site/AICS2020/challenge.html is focused on a representative cyber security task that generally requires human interaction.Understanding and addressing challenges associated with systems that involve human-machine teaming requires collaboration between several different research and development communities including: artificial intelligence, cyber-security, game theory, machine learning, human factors, as well as the formal reasoning communities. To provide proper alerts and timely response, public health officials and researchers systematically gather news and other reports about suspected disease outbreaks, bioterrorism, and other events of potential international public health concern, from a wide range of formal and informal sources. Please note that there is a separate registration fee for attendance at a workshop. Please keep your paper format according to AAAI Formatting Instructions (two-column format).Papers will be peer-reviewed by the Program Committee (2-3 reviewers per paper). AAAI is pleased to present the AAAI-20 Workshop Program. Acknowledging these difficulties, empirical AI research should be documented properly so that the experiments and results are clearly described. Papers should be submitted via EasyChair at https://easychair.org/conferences/?conf=genplan20. Overview; Register/Take course; The Practice Management Workshop is going virtual to help you and your practice navigate the new challenges brought on by the COVID-19 pandemic. Hence, this workshop will help fuel discussions in the area and bring together the AI and sports analytics communities to encourage new research that will benefit both communities and industry. We aim to synthesize and highlight recent research on the topic from multiple sub-fields of AI, including those of reinforcement learning, classical planning, planning under uncertainty, as well as learning for planning. From the practical side, conversation systems need to be designed for working with people in a manner that they can explain their reasoning, convince humans about choices among alternatives, and can stand up to ethical standards demanded in real life settings. This year’s workshop is a continuation of the AAAI 2019 Workshop on Reproducible AI (RAI 2019) where we had several presentations and the attendees started discussing such recommendations. Electronic submissions to be uploaded at https://easychair.org/conferences/?conf=deepdial20. February 8, 2020: Workshop Date Position papers for the AI Safety Landscape (2-4 pages). In the last decade, the planning community has improved the performance of automated planning systems to solve decision making problems by including novel search techniques and heuristics. human-outside-the-loop: the social and organizational impacts of software robots. Authors should submit one of the following: All submitted papers will be carefully peer-reviewed by multiple reviewers and low-quality or off-topic papers will be rejected. To address the scarcity of standardized baselines, datasets, and evaluation metrics for cross-disciplinary affective content analysis, submissions describing new language resources, evaluation metrics, and standards for affect analysis and understanding are also strongly encouraged. Reuth MirskyUniversity of TexasDepartment of Computer ScienceAustin, TXEmail: reuth@cs.utexas.edu, Christopher GeibSIFT LLC319 1st Ave. North, Suite 400Minneapolis MN 55401-1689Email: cgeib@sift.net, Additional InformationSupplemental workshop site: http://www.planrec.org/PAIR/Resources.html. Workshop registration is available for workshop only registrants or for AAAI-20 technical registrants at a discounted rate. The demo track will be chaired by Dr. Mor Vered; questions regarding demos should be referred to mor.vered@unimelb.edu.au. This year’s AICS emphasis will be on human-machine teaming within the context of cyber security problems and will specifically explore collaboration between human operators and AI technologies. StarAI is currently provoking a lot of new research and has tremendous theoretical and practical implications. In addition, such automated processes should be safe, robust and explainable. At least one author of each accepted submission must be present at the workshop. Submission site: https://cmt3.research.microsoft.com/AIOTW2019/Submission/Index, General Chair: Yiran Chen (Duke University, yiran.chen@duke.edu)Program Chairs: Jian Zhang (Microsoft, jianzha@microsoft.com), Jian Tang (DiDi ChuXing, tangjian@didiglobal.com)Steering Committee: Jie Liu (Harbin Institute of Technology), Jieping Ye (DiDi Chuxing), Marilyn Claire Wolf (Georgia Tech), Mani Srivastava (UCLA), Michael I. Jordan (UC Berkeley), Victor Bahl (Microsoft), Vijaykrishnan Narayanan (Penn State University), Supplemental workshop site: https://aiotworkshop.github.io/. However, beyond basic demonstration, there is little experience in how they can be designed and used for real-world applications needing decision making under practical constraints of resources and time (e.g., sequential decision making) and being fair to people chatbots interact with. These challenges and issues call for the need of robust artificial intelligence (AI) algorithms and systems. However, most workshops also allow general registration by other interested individuals. 2020 AAAAI Virtual Practice Management Workshop. StarAI will be a one-day workshop with short paper presentations, a poster session, and three invited speakers. The rest of the day will be devoted to the shared task overview and papers. May 9 – 13, 2020. Submission; CFP PDF; Registration; Welcome. Sponsored by the Association for the Advancement of Artificial Intelligence, February 7-8, 2020New York, New York, USA. This workshop will last one full day. Intelligence at users’ fingertips. Using crowdsourced datasets for evaluating AI systems’ success at tasks such as image labeling and question answering have proven powerful enablers for research. A crucial ingredient is the role of crowdsourcing in operationalizing empirical ways for evaluating, comparing, and assessing the progress. We welcome previously unsubmitted work, papers submitted to the main AAAI conference, and papers reporting research already published provided they align well with the workshop topic. genomic big data, astronomy, and cyberbiosecurity). For instance, researchers have also devoted to reducing the monotonous and tedious grading workloads of teaching professionals by building automatic grading systems that are underpinned by effective models from natural language process fields. Submission site: https://cmt3.research.microsoft.com/CIEMCS2020/Submission/Index. How do we make evaluations and related datasets archival and discoverable? The last page of final papers may contain text other than references, but all references in the submitted paper should appear in the final version, unless superseded. This workshop will provide a forum for growing our collective understanding of what makes a dataset good, the value of improved datasets and collection methods, and how to inform the decisions of when to invest in more robust data acquisition. 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 main objective of the workshop is to bring researchers together to discuss ideas, preliminary results, and ongoing research in the field of reinforcement in games. Eitan Farchi (DE, Software Testing Analysis and Reviews, IBM Research, Haifa, farchi@il.ibm.com), Onn Shehory (Intelligent Information Systems, Graduate School of Business Administration, Bar Ilan University, onn.shehory@biu.ac.il), Guy Barash (Machine learning and Algorithm dev. The workshop will end with a fishbowl-style discussion among the organizers and participants to decide on future directions for the workshop and the research community. Workshops will be held Friday and Saturday, February 7-8, 2020 at the New York Hilton Midtown in New York, New York, USA. Relevant reading: See suggested reading list at https://folk.idi.ntnu.no/odderik/RAI-2020/Suggested_Readings.pdf. Proposals of technical talk (up to one-page abstract including short Bio of the main speaker), Position papers for general topics (2-4 pages), and. Topics of interest include but are not limited to the following: The workshop is a full day. AAAI-20 Workshop Program. Deep Learning models are at the core of research in Artificial Intelligence research today. DEEP-DIA20 will have reviewed paper presentations, invited talks, panels and open contributions of datasets and chatbots. This year’s workshop is a continuation of the AAAI 2019 Workshop on Reproducible AI (RAI 2019) where we had several presentations and the attendees started discussing recommendations. Because humans must interact with at least parts of these AI systems, many challenges and arise. New neural network architectures on graph-structured data have achieved remarkable performance in these tasks when applied to domains such as social networks, bioinformatics and medical informatics. Dennis M. Ross (MIT Lincoln Laboratory, MA, USA), Diane P. Staheli (MIT Lincoln Laboratory, MA, USA), David R. Martinez (MIT Lincoln Laboratory, MA, USA), William W. Streilein (MIT Lincoln Laboratory, MA, USA), Arunesh Sinha (Singapore Management University, Singapore), Milind Tambe (Harvard University, MA, USA), Supplemental workshop site: http://aics.site/AICS2020. Graph neural networks on node-level, graph-level embedding, Dynamic/incremental graph embedding 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, 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 networks), Multi-Domain Task-Completion Dialog Challenge, NOESIS II: Predicting Responses, Identifying Success, and Managing Complexity in, Software engineering aspects of ML systems and quality implications, Testing of the quality of ML systems over time, Quality implication of ML algorithms on large-scale software systems, Case studies of successful and unsuccessful applications of ML techniques, Correctness of data abstraction, data trust, Choice of ML techniques to meet security and quality, Size of the training data, implied guaranties, Application of classical statistics to ML systems quality, Sensitivity to data distribution diversity and distribution drift, The effect of labeling costs on solution quality (semi-supervised learning), Vulnerability, sensitivity and attacks against ML, Adversarial ML and adversary-based learning models. You are browsing the site of a past edition of the AIES conference (2020). crowdsourced) and online (e.g. Martin Michalowski, Cochair, (University of Minnesota – Twin Cities, martinm@umn.edu); Arash Shaban-Nejad, Cochair, (The University of Tennessee Health Science Center – Oak-Ridge National Lab (UTHSC-ORNL) Center for Biomedical Informatics, ashabann@uthsc.edu); Szymon Wilk, (Poznan University of Technology); David L. Buckeridge, (McGill University); John S. Brownstein, (Boston Children’s Hospital, Harvard University); Byron C. Wallace, (Northeastern University); Michael J. Paul, (The University of Colorado Boulder), Supplemental workshop site: http://w3phiai2020.w3phi.com/. Full PapersWe accept full paper submissions. Workshops are one day unless noted otherwise in the individual description. Papers will be peer-reviewed and selected for oral and/or poster presentation at the workshop. Human-computer interactions will continue to increase. The workshop will include paper presentation sessions. Submissions must be in PDF format, written in English, and formatted according to the AAAI camera-ready style. Please send an email to the workshop chairs if you are considering submitting a paper. All submissions must be in PDF format and formatted according to the AAAI style file. Authors are required to submit two items: (1) a 2-page short paper describing their system, formatted in AAAI two-column style, and (2) a video (of duration up to 10 minutes) of the proposed demonstration. However, most workshops also allow general registration by other interested individuals. For questions about the submission process, contact the workshop co-chairs. We advocate the urgency of driving and accelerating AI/ML for efficient and manageable cloud services through collaborative efforts in multiple areas including but not limited to artificial intelligence, machine learning, software engineering, data analytics, and systems.This workshop provides a forum for researchers and practitioners to present the state of research and practice in AI/ML for efficient and manageable cloud services, and network with colleagues. Praveen Paritosh, Kurt Bollacker, Maria Stone, Lora Aroyorigorous-evaluation@googlegroups.com, Supplemental workshop site: http://eval.how/aaai-2020/. Submissions are anonymous, and must conform to the AAAI-20 instructions for double-blind review. The deadline to submit papers is November 15, 2019. , Western Digital Corporation, Israel, Guy.Barash@wdc.com), Supplemental workshop site: https://sites.google.com/view/edsmls2020/home. At the streaming certification workshop you can ask questions to clarify the material that you pre-studied. 2020 AAAAI Virtual Practice Management Workshop. Submitted papers will be peer-reviewed and selected for presentation. However, the large-scale and high complexity of cloud services brings great challenges to the industry. We invite submissions of relevant work that be of interest to the workshop. Gartner estimates that the number of connected things will grow to over 20 billion by 2020. Papers must be formatted in AAAI two-column, camera-ready style; see the 2020 author kit for details: http://www.aaai.org/Publications/Templates/AuthorKit20.zipSubmissions may have up to 8 pages with page 8 containing nothing but references. The program of the workshop will include invited talks, spotlight paper presentations, and lightning poster presentations to showcase research opportunities, novel solutions and systems, success stories, and future directions. Further, there is a mad rush by companies to release chatbots to show their AI capabilities and gain market valuation. 7 XAI Papers are accepted to AAAI 2020 . AI for IoT is a workshop on IoT with its focus on technologies to enable machine learning algorithms to run on resource constrained, secure, and connected devices. We invite paper submissions on the following (and related) topics: Position, perspective, and vision papers are also welcome. The goal of this workshop is to focus on creating and refining AI-based approaches that (1) process personalized data, (2) help patients (and families) participate in the care process, (3) improve patient participation, (4) help physicians utilize this participation in order to provide high quality and efficient personalized care, and (5) connect patients with information beyond that available within their care setting. The workshop will focus on both theoretical and practical challenges arising in the design of privacy-preserving AI systems and algorithms. Artificial Intelligence (AI), like any science, must rely on reproducible experiments to validate results. In addition, this workshop offers a Shared Task with a new corpus, to spur the development of new approaches and methods for affect identification. Please note that there is a separate registration fee for attendance at a workshop. This one-day workshop aims to bring together both academic researchers and industrial practitioners from different backgrounds and perspectives to the above challenges. It will start with a 60-minute mini-tutorial covering a brief tutorial and basics of RL in games, 2-3 invited talks by prominent contributors to the field, paper presentations, a poster session, and will close with a discussion panel. Submission site: https://easychair.org/conferences/?conf=starai2020, Sebastijan Dumančić (KU Leuven, sebastijan.dumancic@cs.kuleuven.be), Angelika Kimmig (Cardiff University, KimmigA@cardiff.ac.uk), David Poole (UBC, poole@cs.ubc.ca), Jay Pujara (USC, jay@cs.umd.edu), Supplemental workshop site: http://www.starai.org/2020, This site is protected by copyright and trademark laws under US and International law. These fields share many key features and often solve similar problems and tasks. Submitted papers will be peer-reviewed and selected for presentation. 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. recommenders, voice assistants, etc. Submissions of technical papers can be up to 7 pages excluding references and appendices.