The workshop aims to foster collaboration and stimulate innovation towards the development of next-generation AI research assistants that are reliable, transparent, and seamlessly integrated into the fabric of scientific discovery. Recent advancements in generative AI and agentic systems have unlocked the potential to automate and accelerate every stage of research, from hypothesis generation to paper writing. The rapid advancement of AI-assisted scientific research also brings social and ethical challenges. Through a series of keynotes, panels, invited talks, paper presentations, and poster sessions, participants will have the opportunity to engage in cross-disciplinary discussions, share innovative ideas, and collaborate on solutions to current challenges.
**Topics of Interest**
Topics include, but are not limited to:
* Autonomous AI Assistants for Scientific Research, including theoretical frameworks, system designs and case studies;
* Datasets, Benchmarks and Evaluation Methods for AI-Assisted Scientific Research;
* Human-AI Collaboration in Scientific Discovery, including design of novel user interfaces and workflows, and studies on how AI tools influence the cognitive processes of human researchers;
* Social Impact and Ethical Considerations in AI-Assisted Scientific Research, including identification and mitigation of biases and hallucinations in AI assistants, ethical frameworks and safety guardrails, and perspectives and discussions in AI for scientific research.
**Submission Guidelines**
We welcome two types of papers:
- Full papers: Full-length research papers from 4 to 7 pages (excluding references and appendices).
- Short papers: research/position papers of up to 4 pages (excluding references and appendices).
All papers must be submitted in PDF format, using the AAAI-26 author kit. The review process will be single-blinded, and we welcome accepted and published papers. The contributions will be non-archival and only will be hosted on our workshop website. There will be one best paper award for accepted papers with outstanding quality. The workshop uses Openreview for paper submission and review. The submission link is https://openreview.net/group?id=AAAI.org/2026/Workshop/AI4Research.
**Important Dates**
Submission Deadline: November 15, 2025 (AOE)
Notification of Acceptance: November 29, 2025 (AOE)
**Organizing Committee**
Hui Chen, National University of Singapore, hui.chen [at] nus.edu.sg
Yilun Zhao, Yale University, yilun.zhao [at] yale.edu
Manasi Patwardhan, TCS Research, manasi.patwardhan [at] tcs.com
Xiangliang Zhang, University of Notre Dame, xzhang33 [at] nd.edu
See Kiong Ng, National University of Singapore, seekiong [at] nus.edu.sg
Arman Cohan, Yale University, arman.cohan [at] yale.edu
Bryan Hooi, National University of Singapore, bhooi [at] comp.nus.edu.sg
Tianyu Yang, University of Notre Dame, tyang4 [at] nd.edu
Yixin Liu, Yale University, yixin.liu [at] yale.edu