AIP Conference Proceedings publishes at significant scale, with more than 100,000 published articles across more than 1,700 volumes. As these proceedings programs grow, publishers face a common challenge: applying consistent quality and integrity checks across submissions that originate from many conferences, organizers, editors, and review processes.

Publishers face a critical challenge: delivering conference proceedings efficiently while upholding rigorous quality standards.
AIP Conference Proceedings publishes at significant scale, with more than 100,000 published articles across more than 1,700 volumes. As these proceedings programs grow, publishers face a common challenge: applying consistent quality and integrity checks across submissions that originate from many conferences, organizers, editors, and review processes.
To address these challenges, AIP Publishing is partnering with Hum to bring Alchemist Review to AIP Conference Proceedings. This will add an AI-assisted quality-control layer that helps identify papers with critical scientific, integrity, and publication-readiness issues before they enter the published record.
Alchemist Review will help surface potential quality and integrity concerns, identify weak or incomplete scientific reasoning, and provide structured editorial intelligence that supports faster, more consistent decision-making at scale. As part of AIP Publishing workflows, it will give the Editorial Office better visibility before proceedings go to publication.
“Conference proceedings play a critical role in the dissemination of emerging research, but they also present unique challenges in maintaining consistency and quality at scale,” said Meredith LeMasurier, Chief Publishing Officer at AIP Publishing. “We’re excited to work with Hum to explore how AI can thoughtfully support editorial oversight and help strengthen confidence in the proceedings publication process.”
“This collaboration represents an exciting evolution for Alchemist Review and for how publishers can think about scientific quality control outside the traditional journal workflow,” said Dustin Smith, Co-founder and CEO of Hum. “As research output continues to accelerate, publishers need new ways to support rigor, consistency, and trust across every stage of scientific communication.”
| # | Наименование новости | Тональность | Информативность | Дата публикации |
|---|---|---|---|---|
| 1 | International Joint Conference on AI accepts 10 Oxford papers | 0 | 21.11 | 12-04-2016 |
| 2 | What Reviewing 500+ AI System Evaluations Reveals About Enterprise Readiness | 0 | 8.22 | 14-01-2026 |
| 3 | Record number of papers accepted to the 31st AAAI Conference on Artificial Intelligence | 0 | 10 | 21-11-2016 |
| 4 | AI Plumbers at FOSDEM’26 | 0 | 7.86 | 16-02-2026 |
| 5 | Alan Turing Institute Symposium on Reproducibility for Data-Intensive Research | 0 | 8.48 | 06-04-2016 |
| 6 | Как проверить сотни контрагентов и не утонуть в ручной работе | 0 | 7.83 | 12-08-2026 |
| 7 | Scientists built the hardest AI test ever and the results are surprising | 0 | 9.4 | 13-03-2026 |
| 8 | When Too Much Data Becomes Too Big an AI Problem | 0 | 7.23 | 26-06-2026 |
| 9 | Conférence – Faire dialoguer les disciplines pour améliorer la gouvernance de l’IA : regards croisés sur les bonnes pratiques | 0 | 8.86 | 24-03-2026 |