Digital and Web Forensics Model Cards, V1

TL;DR

This paper proposes a standardized web-based framework for creating model cards in digital and web forensics, including vocabularies and a generator tool to improve transparency and consistency in forensic knowledge representation.

Contribution

It introduces a novel model card framework tailored for digital forensics, with controlled vocabularies and a prototype generator to enhance standardization and community adoption.

Findings

Developed a structured model card format for digital forensics

Created controlled vocabularies for classification and bias detection

Launched a beta web-based generator tool for community feedback

Abstract

This paper introduces a standardized model card framework specifically designed for digital and web forensics. Building upon established model card methodologies and recent work on abstract models for digital forensic analysis, this paper presents a web based framework that generates model cards specifically designed to represent knowledge in the forensic domain. The framework includes controlled vocabularies for classification, reasoning types, bias identification, and error categorization, along with a web-based generator tool to facilitate adoption. The paper describes the model card structure, presents the controlled vocabularies, and introduces the beta version of the generator tool, inviting community feedback to refine this emerging standard. Ultimately, the systemic risk is that that the anti fraud and digital and web forensics processes are controlled by the mobs.