Detecting AI-Generated Scientific Images: Proofig’s Approach to Emerging Research Integrity Threats
AI-generated scientific images are entering the published literature, and visual inspection alone cannot reliably catch them. Proofig AI’s AI-Generated Image Identification capability is built specifically to surface suspected synthetic images across scientific image types for human review before submission. Why AI-Generated Scientific Images Are a Growing Integrity Risk Generative AI tools can now produce convincing […]
The Ethics of Automated Image Detection: Minimizing False Positives and Protecting Author Rights
Automated image integrity tools carry a clear ethical responsibility: to surface suspected issues for human review, not to deliver verdicts. Responsible tools must minimize false alarms and protect researchers from unwarranted scrutiny. A flag is the beginning of a review process, never the end of one. Why Does This Matter Now? Image integrity screening is […]
Detecting AI-Generated Images in Research: Why Text Detection Isn’t Enough
AI-generated text detectors and AI-generated image detectors solve fundamentally different problems. A manuscript can pass text-based AI screening and still contain fabricated figures. Tools that analyze linguistic patterns have no mechanism for evaluating pixel-level image data. Researchers who screen only for AI-written text may still have an important gap in their integrity workflow. AI-Generated Scientific […]
Integrating Image Integrity Checks into Your Editorial Workflow: A Guide for Journal Editors
Most image integrity issues in submitted manuscripts are unintentional, arising from figure preparation errors, mislabeled panels, or mistakes introduced by collaborators during data handling. Journal editors can integrate image integrity screening at three practical points, submission intake, desk review, or pre-acceptance, to surface these issues early. Tools like Proofig AI connect directly with editorial management […]
Integrating AI Tools with Editorial Workflows: A COPE-Aligned Guide for Image Integrity in Publishing
Publishers can integrate AI image integrity tools into their editorial workflows in a COPE-aligned way by using them as a screening layer that surfaces suspected issues for human review, not as a replacement for editorial judgment. The key is clear internal policy, documented process, and author communication that does not assume harmful intent. Why Systematic […]
Strengthening Research Integrity: The Role of Pubshield in Integrating Proofig AI and Dataseer AI for Manuscript Compliance
PubShield is an institutional manuscript quality assurance hub, a product distinct from Proofig AI, that consolidates multiple integrity checks into a single workflow. It brings together Proofig AI’s image integrity screening and RefGuard’s reference integrity checks with partner tools: DataSeer’s data compliance checks, iThenticate’s text similarity analysis and Pangram’s AI-generated text detection. DataSeer, iThenticate and […]
Leveraging AI for Misconduct Detection: Proofig’s Role in the Technological Shift
AI is transforming how image integrity issues are detected in scientific research. Automated tools now screen for duplication, manipulation, AI-generated content, and plagiarism at a scale and speed that manual review cannot match. Proofig AI is built specifically for this task, surfacing suspected issues for human review before they become public problems. How Large Is […]
Seamlessly Integrating Image Integrity Checks into Automated Publishing Systems: A Guide for Researchers and Publishers
Proofig AI integrates with automated publishing systems, including through its partnership with Aries Systems, to run image integrity screening at the point of manuscript submission. This benefits publishers managing rising submission volumes and researchers who want to catch suspected issues before they reach an editor, reducing the risk of rejection, correction, or retraction. Why Can’t […]
Transforming Submission and Review Processes: Proofig’s Role in AI Integration
AI tools are entering scholarly submission and review workflows to handle quality checks at a scale that manual processes can no longer sustain. Image integrity is a distinct, specialized part of this pipeline. Proofig AI plays a specific role here, surfacing suspected image issues for editorial review before manuscripts reach peer review or publication. Why […]
Reducing Retraction Risks: The Role of Proofig AI in Pre-Submission Checks
Pre-submission image integrity screening with Proofig AI surfaces suspected duplications, manipulations, and other figure problems before they reach peer review. By catching potential issues early, researchers and publishers can reduce the risk of post-publication corrections and retractions, protecting both scientific credibility and individual careers. Why Are Retractions So Closely Tied to Image Issues? Retractions carry […]