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ORCIDAI Magazine, Volume 43
Volume 43, Number 1, 2022
- Vinay K. Chaudhri, Chaitanya K. Baru:
Editorial Introduction. 4-5 - Chaitanya K. Baru, Lara Campbell, Aurali Dade, Pradeep Fulay, Alexander Loewi, Douglas Maughan, Ibrahim Mohedas, Linda K. Molnar, Michael Pozmantier, Michael Reksulak, Shelby Smith, Nicole Tehrani:
The NSF Convergence Accelerator Program. 6-16 - Vinay K. Chaudhri, Chaitanya K. Baru, Naren Chittar, Xin Luna Dong, Michael R. Genesereth, James A. Hendler, Aditya Kalyanpur, Douglas B. Lenat, Juan Sequeda, Denny Vrandecic, Kuansan Wang:
Knowledge Graphs: Introduction, History and, Perspectives. 17-29 - Krzysztof Janowicz, Pascal Hitzler, Wenwen Li, Dean Rehberger, Mark Schildhauer, Rui Zhu, Cogan Shimizu, Colby K. Fisher, Ling Cai, Gengchen Mai, Joseph Zalewski, Lu Zhou, Shirly Stephen, Seila Gonzalez Estrecha, Bryce D. Mecum, Anna Lopez-Carr, Andrew Schroeder, Dave Smith, Dawn J. Wright, Sizhe Wang, Yuanyuan Tian, Zilong Liu, Meilin Shi, Anthony D'Onofrio, Zhining Gu, Kitty Currier:
Know, Know Where, Knowwheregraph: A Densely Connected, Cross-Domain Knowledge Graph and Geo-Enrichment Service Stack for Applications in Environmental Intelligence. 30-39 - J. Michael Johnson, Tom Narock, Justin Singh-Mohudpur, Douglas Fils, Keith C. Clarke, Siddharth Saksena, Adam Shepherd, Sankar Arumugam, Lilit Yeghiazarian:
Knowledge Graphs to Support Real-Time Flood Impact Evaluation. 40-45 - Sergio E. Baranzini
, Katy Börner, John H. Morris, Charlotte A. Nelson, Karthik Soman, Erica Schleimer, Michael J. Keiser, Mark A. Musen, Roger Pearce, Tahsin Reza, Brett Smith, Bruce William Herr II, Boris Oskotsky, Angela Rizk-Jackson, Katherine P. Rankin, Stephan J. Sanders, Riley Bove, Peter W. Rose, Sharat Israni, Sui Huang:
A Biomedical Open Knowledge Network Harnesses the Power of AI to Understand Deep Human Biology. 46-58 - Michael J. Cafarella, Michael R. Anderson, Iz Beltagy, Arie Cattan, Sarah E. Chasins, Ido Dagan, Doug Downey, Oren Etzioni, Sergey Feldman, Tian Gao, Tom Hope, Kexin Huang, Sophie Johnson, Daniel King, Kyle Lo, Yuze Lou, Matthew D. Shapiro, Dinghao Shen, Shivashankar Subramanian, Lucy Lu Wang, Yuning Wang, Yitong Wang, Daniel S. Weld, Jenny M. Vo-Phamhi, Anna Zeng, Jiayun Zou:
Infrastructure for Rapid Open Knowledge Network Development. 59-68 - Adam R. Pah, David L. Schwartz, Sarath Sanga, Charlotte S. Alexander, Kristian J. Hammond, Luis A. Nunes Amaral, SCALES O. K. N. Consortium:
The Promise of AI in an Open Justice System. 69-74 - Robby Robson, Elaine Kelsey, Ashok K. Goel, Sazzad M. Nasir, Elliot Robson, Myk Garn, Matt Lisle, Jeanne Kitchens, Spencer Rugaber, Fritz Ray:
Intelligent Links: AI-Supported Connections between Employers and Colleges. 75-82 - Ranjana K. Mehta, Jason Moats, Rohith Karthikeyan, Joseph L. Gabbard, Divya Srinivasan, Eric Jing Du, Alexander Leonessa, Garret Burks, Andrew Stephenson, Ron Fernandes:
Human-Centered Intelligent Training for Emergency Responders. 83-92 - Chaitanya K. Baru, Michael Pozmantier, Ilkay Altintas, Stephen Baek, Jonathan Cohen, Laura E. Condon, Giulia Fanti, Raul Castro Fernandez, Ethan Jackson, Upmanu Lall, Bennett A. Landman, Hai Li, Claudia Marin, Beatriz Martínez-López, Dimitris N. Metaxas, Bradley D. Olsen, Grier P. Page, Yelda Turkan, Jingbo Zhang, Peng Zhang:
Enabling AI Innovation via Data and Model Sharing: An Overview of the Nsf Convergence Accelerator Track D. 93-104
- Henry A. Kautz:
The Third AI Summer: AAAI Robert S. Engelmore Memorial Lecture. 93-104 - Konstantinos V. Katsikopoulos, Marc C. Canellas:
Decoding Human Behavior with Big Data? Critical, Constructive Input from the Decision Sciences. 126-138
- Ian Beaver:
The Success of Conversational AI and the AI Evaluation Challenge It Reveals. 139-141
Volume 43, Number 2, 2022
- Dietmar Jannach, Pearl Pu, Francesco Ricci, Markus Zanker:
Recommender Systems: Trends and Frontiers. 145-150 - Dietmar Jannach, Li Chen:
Conversational Recommendation: A Grand AI Challenge. 151-163 - Nasim Sonboli, Robin Burke, Michael D. Ekstrand, Rishabh Mehrotra:
The Multisided Complexity of Fairness in Recommender Systems. 164-176 - Gediminas Adomavicius, Jesse C. Bockstedt, Shawn P. Curley, Jingjing Zhang:
Recommender Systems, Ground Truth, and Preference Pollution. 177-189 - Darius Afchar, Alessandro B. Melchiorre, Markus Schedl, Romain Hennequin, Elena V. Epure, Manuel Moussallam:
Explainability in Music Recommender Systems. 190-208 - David Massimo, Francesco Ricci:
Building Effective Recommender Systems for Tourists. 209-224 - Pablo Castells, Alistair Moffat:
Offline Recommender System Evaluation: Challenges and New Directions. 225-238
- Kenneth Holstein, Vincent Aleven:
Designing for Human-AI Complementarity in K-12 Education. 239-248 - Shiqi Zhang, Mohan Sridharan:
A Survey of Knowledge-Based Sequential Decision-Making under Uncertainty. 249-266
- Ashok K. Goel:
Looking Back, Looking Ahead: Humans, Ethics, and AI. 267-269
Volume 43, Number 3, 2022
- Michael Cooper, John Licato:
Transformative Research Focus Considered Harmful. 273-281 - Michael K. Cohen, Marcus Hutter, Michael A. Osborne:
Advanced Artificial Agents Intervene in the Provision of Reward. 282-293 - Jana Schaich Borg:
The AI Field Needs Translational Ethical AI Research. 294-307 - Paul Smolensky, Richard Thomas McCoy, Roland Fernandez, Matthew Goldrick, Jianfeng Gao:
Neurocompositional Computing: From the Central Paradox of Cognition to a New Generation of AI Systems. 308-322 - Pall Rikhardsson, Kristinn R. Thórisson, Gudmundur Bergthorsson, Catherine Batt:
Artificial Intelligence and Auditing in Small- And Medium-Sized Firms: Expectations and Applications. 323-336
- Peter Brusilovsky, Sergey A. Sosnovsky, Khushboo Thaker:
The Return of Intelligent Textbooks. 337-340
Volume 43, Number 4, 2022
- Kevin Leyton-Brown, Mausam, Qiang Yang:
The New Faculty Highlights Program at AAAI-21. 343
- Lili Mou:
Search and Learning for Unsupervised Text Generation. 344-352 - Pascal Bercher:
Hierarchical Planning and Reasoning about Partially Ordered Plans - From Theory to Practice. 353-364 - Jing Ma, Jundong Li:
Learning Causality with Graphs. 365-375 - Hang Ma:
Intelligent Planning for Large-Scale Multi-Agent Systems. 376-382
- Ian Beaver:
Is AI at Human Parity Yet? A Case Study on Speech Recognition. 386-389
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