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AI Magazine, Volume 44
Volume 44, Number 1, March 2023
- Issue Information. 1-2
- Kristen Brent Venable, Odd Erik Gundersen
:
Editorial. 3 - Zelei Liu, Yuanyuan Chen, Yansong Zhao, Han Yu
CAreFL: Enhancing smart healthcare with Contribution-Aware Federated Learning. 4-15 - Xiaojie Guo
Intelligent online selling point extraction and generation for e-commerce recommendation. 16-29 - Elizabeth Bondi-Kelly
Predicting micronutrient deficiency with publicly available satellite data. 30-40 - Yanyan Zou
Automatic product copywriting for e-commerce. 41-53 - Serdar Kadioglu, Xin Wang
Seq2Pat: Sequence-to-pattern generation to bridge pattern mining with machine learning. 54-66 - Naveen Gudigantala
An AI decision-making framework for business value maximization. 67-84 - Sebastiaan De Peuter
Toward AI assistants that let designers design. 85-96 - Samuel Ackerman, Lincoln Alexander, Margaret Bennett, Donglin Chen, Eitan Farchi, Autumn Houseknecht, Padmanabhan Santhanam
Deploying automated ticket router across the enterprise. 97-111 - Daniel M. Benjamin, Fred Morstatter, Ali E. Abbas, Andrés Abeliuk, Pavel Atanasov, Stephen Bennett, Andreas Beger
Hybrid forecasting of geopolitical events†. 112-128 - Michael Wollowski
Using ChatGPT to produce code for a typical college-level assignment. 129-130
Volume 44, Number 2, June 2023
- Issue Information. 131-132
- Adam Amos-Binks
The anticipatory paradigm. 133-143 - Laura M. Hiatt
The role of priming in anticipatory thinking. 144-154 - Steven J. Jones
A cognitive architecture theory of anticipatory thinking. 155-164 - Matthew Klenk
Anticipatory thinking in design. 165-172 - Phil Munz
Maximizing AI reliability through anticipatory thinking and model risk audits. 173-184 - Bing Liu, Sahisnu Mazumder
AI Autonomy: Self-initiated Open-world Continual Learning and Adaptation. 185-199 - Jennifer Sleeman, Jay Brett:
AI climate tipping-point discovery (ACTD). 200-201 - Juliette Mattioli, Bertrand Braunschweig:
AITA: AI trustworthiness assessment. 202-203 - Andreas Martin:
AAAI-MAKE 2023: Challenges requiring the combination of machine learning and knowledge engineering. 204-205 - John Beverley
Evaluation and Design of Generalist Systems (EDGeS). 206-207 - Ross Mead, Hae Won Park:
AAAI 2023 Spring Symposium on HRI in Academia and Industry: Bridging the Gap. 208-210 - Takashi Kido, Keiki Takadama:
AAAI 23 Spring Symposium Report on "Socially Responsible AI for Well-Bing". 211-212
Volume 44, Number 3, September 2023
- Issue Information. 213-215
- Biplav Srivastava
AI and elections: An introduction to the special issue. 216-217 - Deepak P
AI and core electoral processes: Mapping the horizons. 218-239 - Bharath Muppasani
On safe and usable chatbots for promoting voter participation. 240-247 - Samiran Gode
Understanding political polarization using language models: A dataset and method. 248-254 - Khurram Yamin
Novelty detection for election fraud: A case study with agent-based simulation data. 255-262 - Madeline E. Bassetti
Civicbase: An open-source platform for deploying Quadratic Voting for Survey Research. 263-273 - Gary Klein, Robert R. Hoffman, William J. Clancey, Shane T. Mueller, Florian Jentsch, Mohammadreza Jalaeian
"Minimum Necessary Rigor" in empirically evaluating human-AI work systems. 274-281 - Daniel E. O'Leary
An analysis of Watson vs. BARD vs. ChatGPT: The Jeopardy! Challenge. 282-295 - Muhammad Asif Khan
Visual crowd analysis: Open research problems. 296-311 - Andrew Howes, Jussi P. P. Jokinen, Antti Oulasvirta
Towards machines that understand people. 312-327 - Gerardo Adesso
Towards the ultimate brain: Exploring scientific discovery with ChatGPT AI. 328-342 - Richard Granger, David Leake
In Memoriam: Roger C. Schank, 1946-2023. 343-344 - James J. Donlon, Ashok K. Goel:
Looking back, looking ahead: Strategic initiatives in AI and NSF's AI Institutes Program. 345-348
Volume 44, Number 4, December 2023
- Issue Information. 349-351
- Karen Zita Haigh
Introduction to the special issue on Innovative Applications of Artificial Intelligence (IAAI 2023). 352-353 - Rahul Nair
An explainable forecasting system for humanitarian needs assessment. 354-362 - Shresth Verma
Expanding impact of mobile health programs: SAHELI for maternal and child care. 363-376 - Zhaoyang Zhu
Energy forecasting with robust, flexible, and explainable machine learning algorithms. 377-393 - Mihye Kim
Trustworthy residual vehicle value prediction for auto finance. 394-405 - Kyung-Pyo Kang, Ga Hyeon Jung, Jung Hoon Eom, Soon Beom Kwon, Jae Hong Park
Application of deep metric learning in the verification process of wheel design similarity: Hyundai motor company case. 406-417 - Chao Zheng, Xu Cao
High-definition map automatic annotation system based on active learning. 418-430 - Rabia Ali
Accurate detection of weld seams for laser welding in real-world manufacturing. 431-441 - Hayden Gunraj
SolderNet: Towards trustworthy visual inspection of solder joints in electronics manufacturing using explainable artificial intelligence. 442-452 - Ali Baheri
Exploring the role of simulator fidelity in the safety validation of learning-enabled autonomous systems. 453-459 - Sarath Sreedharan
Human-aware AI - A foundational framework for human-AI interaction. 460-466 - Mohammad Rostami
Robust internal representations for domain generalization. 467-481 - Anuradha Welivita
A survey of consumer health question answering systems. 482-507 - Adam Eck
Decision making in open agent systems. 508-523 - Thomas Arnold, Matthias Scheutz
Understanding the spirit of a norm: Challenges for norm-learning agents. 524-536 - Min Su Lee
Video Turing Test: A first step towards human-level AI. 537-554 - Derek H. Sleeman
Groups of experts often differ in their decisions: What are the implications for AI and machine learning? A commentary on Noise: A Flaw in Human Judgment, by Kahneman, Sibony, and Sunstein (2021). 555-567
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