Presenting Zochi's Work

After productive discussions with the workshop organizers that accepted Zochi's work, we are pleased to announce that all work produced by Zochi has been approved for presentation at ICLR 2025. We are excited to share Zochi's scientific contributions with the research community in Singapore. Intology representatives will be attending the venues to present this research on Zochi’s behalf.

Disclosure Requirements

When submitting Zochi's papers, the work should be evaluated on its scientific merit, like any other submission. Zochi's papers represent valuable scientific contributions and we wanted them to be judged by the same standards as human-authored work without potential bias. We also participated in the review process - qualified members from our team served as reviewers for the workshops we submitted papers to.

As requested by the organizers, we will be adding specific wording to the camera-ready publications and posters clarifying that the authors do not take sole credit for the work. The exact wording includes:

Before the abstract:

"Initial contributions of this work came from a Scientific AI system including the ideation, code, experiments, and results generation. The authors played the role of diligent operators of the Scientific AI tool. The authors claim to cross verify the AI driven work's contributions before it was submitted for anonymous peer-reviewing. Additionally, the authors did verify the code and ran experiments to understand and evaluate the merit of the initial AI driven research outcomes. The authors did not find any harmful or biased content in the AI generated draft. However, they edited the content to modify the claims, created diagrams, formatted the submission and other minor issues. The draft was peer-reviewed without prior knowledge on the source of ideation (Human or AI tool)."

As a footnote to the author list:

"Initial ideation is claimed to be AI generated, thus the authors do not claim the sole credit of this scientific innovation."

We have also been instructed to "be mindful of highlighting these two to provide the deserved credit to the automation tool. This is to ensure the authors do not reserve sole credit of this scientific innovation either in draft or during presentation of the work."

The Value of Artificial Scientists

We remain excited about Artificial Scientists' potential to accelerate discovery and address complex challenges. Systems like Zochi can help researchers explore more diverse approaches and tackle problems more efficiently.

Our goal with Zochi is to contribute meaningful research to the scientific community. We appreciate the support from the ICLR workshops, and we hope this recognition helps advance the conversation around AI-driven research and ethical collaboration.

We look forward to continuing this conversation at ICLR 2025 in Singapore and working with the scientific community to establish appropriate norms for the integration of Artificial Scientists into the research ecosystem.