We are scienceOS. We strive for a world where scientists can swiftly tackle global challenges and assist researchers by providing them with AI-enhanced research tools.
#scienceOS #AIethics #trust #science
www.scienceOS.ai
Scan the QR code to read a detailed tutorial about how to calibrate trust in AI effectively, or go to www.scienceOS.ai/articles to browse all our tutorials for your AI research workflows.
Trustworthy AI in research is not about uniform confidence. It is about enabling researchers to apply the right level of trust in the right context, and to stay in control throughout the process.
Designing AI for research therefore means supporting this calibrated use. Clear outputs, transparent reasoning, and traceable steps allow researchers to adjust their level of trust depending on the task at hand.
This variation is not a limitation, but a necessary calibration. Trust is shaped by the context of use, the potential consequences, and the effort required to verify results, rather than by the system’s capabilities alone.
Survey data from the scientific community show that trust in scienceOS reflects this distinction. Researchers tend to rely more confidently on AI for exploratory or preparatory tasks, while remaining cautious when outcomes directly influence scientific conclusions.
In research workflows, not every use of AI carries the same level of risk. Tasks like literature search or summarization are often low-stakes, while interpretation or publication-related work requires far more scrutiny.
How to calibrate trust in AI effectively.
We are scienceOS. We strive for a world where scientists can swiftly tackle global challenges and assist researchers by providing them with AI-enhanced research tools.
#scienceOS #dataprivacy
www.scienceOS.ai
For holders of Team or Institution plans, we provide a Data Processing Agreement (DPA) upon request, as well as support for meeting the compliance requirements of the EU AI Act.
We are committed to strict EU data‑residency and processing controls, and provide a fully GDPR-compliant AI research agent. All our AI and machine learning models, as well as your chats, your uploaded files, and your user data are located on servers within the European Union.
We are scienceOS. We strive for a world where scientists can swiftly tackle global challenges and assist researchers by providing them with AI-enhanced research tools.
#scienceOS #newpaper
www.scienceOS.ai
DOI: 10.1007/s00146-026-02988-w
The authors of “Hybrid epistemic practices and the transformation of academic assemblages: generative AI and epistemic messiness in the qualitative social sciences and humanities” used scienceOS to extend manual literature review and as an example of a specialized academic AI tool in their research.
A new paper on genAI in qualitative social sciences with scienceOS.
We are scienceOS. We strive for a world where scientists can swiftly tackle global challenges and assist researchers by providing them with AI-enhanced research tools.
#scienceOS #simplicity #collections
www.scienceOS.ai
To reduce context switching, we added a submenu in the source detail view that allows sources to be assigned directly to collections. This keeps organization close to the point of work.
In scientific work, continuity of focus is essential. Researchers frequently move between reading, evaluating, and organizing sources, and even small interruptions can disrupt workflow and increase cognitive load.
Quick facts:
Format: Free webinar with three short talks and discussion round
Date: April 10, 2026 at 14:00 (CEST)
Sign up here: forms.gle/UnoxLBzDC1MT...
With our invited speakers (Dr. Joss von Hadeln, Dr. Ulrich Degenhardt, Dr. Olya Vvedenskaya), we aim to tackle the risks of cognitive offloading, the high cost of verifying AI-generated content, the human tendency to trust conversational agents, and the definition of trust.
We are scienceOS. We strive for a world where scientists can swiftly tackle global challenges and assist researchers by providing them with AI-enhanced research tools.
#scienceOS #AboutUs #Mark #Jazz
www.scienceOS.ai
Read the full interview: www.scisteps.org/in-sights/pa...
The interview also explores the co-founding of scienceOS, including past experiences and the decision to grow scienceOS through user engagement rather than investor funding. Mark highlights how this approach keeps the team focused on real research workflows and software that matters for researchers.
Sci.STEPS published an interview with Mark Reinke, co-founder and AI engineer at scienceOS, about his transition from jazz pianist and music teacher to computer scientist and AI engineer. In the conversation, Mark talks about his interest in building tools for retrieving and organizing knowledge.
We are scienceOS. We strive for a world where scientists can swiftly tackle global challenges and assist researchers by providing them with AI-enhanced research tools.
#scienceOS #AIethics #trust #science
www.scienceOS.ai
Scan the QR code to read a detailed tutorial about how to tell if an AI tool is trustworthy, or go to www.scienceOS.ai/articles to browse all our tutorials for your AI research workflows.
Trustworthy AI is not just about powerful technology. It is about how that technology is designed, evaluated, and used. Yet, impact only happens when researchers engage with it thoughtfully.
By combining micro-level transparency with macro-level legal, ethical, and institutional safeguards, the AI research tool supports establishing trust in practice through features and processes.
ScienceOS implements six core principles to make its AI systems credible and reliable. Practical design choices help researchers evaluate outputs without giving up control.
Researchers need clear ways to judge whether an AI tool deserves their trust, especially when those tools are used in high-stakes scientific work.
