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ORCIDAI Magazine, Volume 46
Volume 46, Number 1, 2025
- Vitaliy Gumenyuk
, Anatolii Nikitin, Oleksandr Bondar, Iaroslav Zhydovtsev, Hanna Yermakova:
The role and significance of state-building as ensuring national security in the context of artificial intelligence development. - Aobo Chen, Yangyi Li, Chenxu Zhao, Mengdi Huai:
A survey of security and privacy issues of machine unlearning. - Issue Information.
- Melanie Weber:
Geometric Machine Learning. - Toluwani Aremu, Oluwakemi Akinwehinmi, Chukwuemeka Nwagu, Syed Ishtiaque Ahmed, Rita Orji, Pedro Arnau del Amo, Abdulmotaleb El Saddik:
On the reliability of Large Language Models to misinformed and demographically informed prompts. - Mark Stefik:
What AIs are not learning (and why). - Wenbin Zhang, Shuigeng Zhou, Toby Walsh, Jeremy C. Weiss:
Fairness amidst non-IID graph data: A literature review. - Quanming Yao, Yongqi Zhang, Yaqing Wang, Nan Yin, James Kwok, Qiang Yang:
Beyond scaleup: Knowledge-aware parsimony learning from deep networks. - Myke C. Cohen, Nayoung Kim, Yang Ba, Anna Pan, Shawaiz Bhatti, Pouria Salehi, James Sung, Erik Blasch, Mickey V. Mancenido, Erin K. Chiou:
PADTHAI-MM: Principles-based approach for designing trustworthy, human-centered AI using the MAST methodology.
Volume 46, Number 2, 2025
- Steve Cruz, Katarina Doctor, Christopher Funk, Walter J. Scheirer:
Open issues in open world learning. - Harald Semmelrock, Tony Ross-Hellauer, Simone Kopeinik, Dieter Theiler, Armin Haberl, Stefan Thalmann, Dominik Kowald:
Reproducibility in machine-learning-based research: Overview, barriers, and drivers. - Abhyuday Desai, Mohamed Abdelhamid, Nakul R. Padalkar:
What is reproducibility in artificial intelligence and machine learning research? - Michael Wollowski:
Attracting artificial intelligence talent in the time of generative AI. - Huzaifa Sidhpurwala, Garth Mollett, Emily Fox, Mark Bestavros, Huamin Chen:
Building trust: Foundations of security, safety, and transparency in AI. - Christelle Scharff, Andreea Cotoranu, Yves Wautelet, James Brusseau:
Systematically incorporating equity into design thinking for AI education. - Sri Yash Tadimalla, Mary Lou Maher:
AI literacy as a core component of AI education. - David S. Touretzky, Christina Gardner-McCune, Bryan Cox, Judith Uchidiuno, Xueru Yu, William Gelder, Tom McKlin, Taneisha Lee Brown, Bejanae Kareem, Woojin Chung, Amber Jones, Janet L. Kolodner:
Artificial intelligence education in Georgia middle schools. - Bo-chiuan Su:
Navigating the new frontier: The role of AI-driven virtual influencers in consumer engagement. - Reuth Mirsky:
Artificial intelligent disobedience: Rethinking the agency of our artificial teammates. - Animesh Kumar Sharma, Rahul Sharma:
Governance in the age of artificial intelligence: A comparative analysis of policy framework in BRICS nations. - Mary Lou Maher, David S. Touretzky, Michael Wollowski:
Guest Editorial: Introduction to special issue of AI magazine on AI literacy and AI education. - Erfaun Noorani, Zachary Serlin, Ben Price, Alvaro Velasquez:
From abstraction to reality: DARPA's vision for robust sim-to-real autonomy. - Steve Joordens:
When science fiction collides with reality: The future of learning and the one after that.
Volume 46, Number 3, 2025
- Nuke F. Hatta:
Feeling heard: Can AI really understand human's feeling? - Serdar Kadioglu, Sean McGregor, Jan Seyler:
Introduction to the special issue on innovative applications of artificial intelligence (IAAI 2025). - Mahdi Al-Husseini, Kyle Hollins Wray, Mykel J. Kochenderfer:
Semi-Markovian planning to coordinate aerial and maritime medical evacuation platforms. - Ji Won Kim, Jae Hong Park, Yuri Anna Kim, Sang Jun Lee:
Developing generative recommender systems for government subsidy programs with a new RQ-VAE model: Wello and the Korean government case. - Akash V. Maharaj, David Arbour, Daniel Lee, Uttaran Bhattacharya, Anup Rao, Austin Zane, Avi Feller, Kun Qian, Sajjadur Rahman, Yunyao Li:
Evaluation and incident prevention in an enterprise AI assistant. - Evana Gizzi, Connor Firth, Caleb Adams, James Berck, Timothy Chase Jr., Christian Cassamajor-Paul, Rachael Chertok, Lily Clough, Jonathan Davis, Melissa De La Cruz, Matthew Dosberg, Alan Gibson, Jonathan Hammer, Ibrahim Haroon, Michael A. Johnson, Brian Kempa, James Marshall, Patrick Maynard, Brett A. McKinney, Leyton McKinney, Michael Monaghan, Robin Onsay, Hayley Owens, Sam Pedrotty, Daniel Rogers, Mahmooda Sultana, Jivko Sinapov, Bethany Theiling, Aaron Woodard, Caroline Zouloumian, Connor Williams:
OnAIR: Applications of the NASA on-board artificial intelligence research platform. - Rikhiya Ghosh, Hans-Martin von Stockhausen, Martin Schmitt, Vasile George Marica, Sanjeev Kumar Karn, Oladimeji Farri:
Automated vulnerability evaluation with large language models and vulnerability ontologies. - Tianlong Xu, Yifan Zhang, Zhendong Chu, Qingsong Wen:
Multimodal AI Teacher: Integrating Edge Computing and Reasoning Models for Enhanced Student Error Analysis. - Serdar Kadioglu:
Open-source AI at scale: Establishing an enterprise AI strategy through modular frameworks. - Mitchell Kiely, Metin Ahiskali, Etienne Borde, Benjamin Bowman, David Bowman, Dirk Van Bruggen, KC Cowan, Prithviraj Dasgupta, Erich Devendorf, Ben Edwards, Alex Fitts, Sunny Fugate, Ryan Gabrys, Wayne Gould, H. Howie Huang, Jules Jacobs, Ryan Kerr, Isaiah J. King, Li Li, Luis Martinez, Christopher Moir, Craig Murphy, Olivia Naish, Claire Owens, Miranda Purchase, Ahmad Ridley, Adrian Taylor, Sara Farmer, William John Valentine, Yiyi Zhang:
CAGE challenge 4: A scalable multi-agent reinforcement learning gym for autonomous cyber defence. - Zichun Xu, Zhilang Xu:
Tiered copyrightability for generative artificial intelligence: An empirical analysis of China and the United States judicial practices. - Mohsen Askari:
Reclaiming authorship in the age of generative AI: From panic to possibility. - Or Wertheim, Ronen I. Brafman:
Model-based AI planning and execution platforms for robotics. - Ruohan Gao:
Multisensory machine intelligence. - Daniel S. Brown:
Toward robust, interactive, and human-aligned AI systems. - Zhen Wang, Lin Li, Long Chen:
Recent advances in finetuning multimodal large language models. - John Dorsch, Mariel K. Goddu, Kathryn Nave, Tillmann Vierkant, Mark Coeckelbergh, Paula Gürtler, Petr Urban, Friderike Spang, Maximilian Moll:
Against AI welfare: Care practices should prioritize living beings over AI. - Francesco Leofante, André Artelt, Demetrios G. Eliades, Anna Korre, Francesca Toni, Tim Miller:
Explainable AI, energy and critical infrastructure systems.
Volume 46, Number 4, 2025
- Keivan Navaie:
From rights to runtime: Privacy engineering for agentic AI. - Vinay K. Chaudhri, Chaitan Baru, Brandon Bennett, Mehul Bhatt, Darion Cassel, Anthony G. Cohn, Rina Dechter, Esra Erdem, David A. Ferrucci, Kenneth D. Forbus, Gregory Gelfond, Michael R. Genesereth, Andrew S. Gordon, Benjamin N. Grosof, Gopal Gupta, Jim Hendler, Sharat Israni, Tyler R. Josephson, Patrick C. Kyllonen, Yuliya Lierler, Vladimir Lifschitz, Clifton James McFate, Hande K. McGinty, Leora Morgenstern, Alessandro Oltramari, Praveen K. Paritosh, Dan Roth, Blake Shepard, Cogan Shimizu, Denny Vrandecic, Mark Whiting, Michael Witbrock:
A community-driven vision for a new knowledge resource for AI. - Ahmed Alduais, Saba Mansoor Qadhi, Youmen Chaaban, Majeda Khraisheh:
The ETHICAL Protocol for Responsible Use of Generative AI for Research Purposes in Higher Education. - Jing Ren, Tao Tang, Hong Jia, Ziqi Xu, Haytham Fayek, Xiaodong Li, Suyu Ma, Xiwei Xu, Feng Xia:
Foundation Models for Anomaly Detection: Vision and Challenges. - Michael K. Cohen, Marcus Hutter:
Imitation learning is probably existentially safe. - Marc Selgas Cors, Renata Thiébaut:
Artificial intelligence and the impact of the EU AI Act in business organizations. - Danniell Hu, Diana Acosta-Navas, Susanne Gaube, Hussein Mozannar, Matthew E. Taylor, Krishnamurthy Dvijotham, Elizabeth Bondi-Kelly:
Human at the Center: A Framework for Human-Driven AI Development. - Robert B. Fisher:
What do we want from AI? - Si Shen, Peijun Shen, Danhao Zhu:
RevOrder: A novel equation format for arithmetic operations in language models. - Evi Micha:
How Proportional Representation Can Shape Artificial Intelligence.
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